Next Article in Journal
Understanding Quasi-Static and Dynamic Characteristics of Organic Ferroelectric Field Effect Transistors
Previous Article in Journal
Evaluation of Fluid Behaviors in a Pushbutton-Activated Microfluidic Device for User-Independent Flow Control
Previous Article in Special Issue
High Electromechanical Coupling Coefficient of Longitudinally Excited Shear Wave Resonator Based on Optimized Bragg Structure
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Acoustofluidic Actuation of Living Cells

by
Yue Wu
1,
Junyang Gai
2,
Yuwen Zhao
3,
Yi Liu
4,* and
Yaling Liu
1,3,*
1
Department of Bioengineering, Lehigh University, Bethlehem, PA 18015, USA
2
Department of Mechanical and Aerospace Engineering, Monash University, Clayton, VIC 3800, Australia
3
Department of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA 18015, USA
4
School of Engineering, Dali University, Dali 671000, China
*
Authors to whom correspondence should be addressed.
Micromachines 2024, 15(4), 466; https://doi.org/10.3390/mi15040466
Submission received: 4 February 2024 / Revised: 22 March 2024 / Accepted: 26 March 2024 / Published: 29 March 2024
(This article belongs to the Special Issue Acoustic Micro/Nano Manipulation and Its Applications)

Abstract

:
Acoutofluidics is an increasingly developing and maturing technical discipline. With the advantages of being label-free, non-contact, bio-friendly, high-resolution, and remote-controllable, it is very suitable for the operation of living cells. After decades of fundamental laboratory research, its technical principles have become increasingly clear, and its manufacturing technology has gradually become popularized. Presently, various imaginative applications continue to emerge and are constantly being improved. Here, we introduce the development of acoustofluidic actuation technology from the perspective of related manipulation applications on living cells. Among them, we focus on the main development directions such as acoustofluidic sorting, acoustofluidic tissue engineering, acoustofluidic microscopy, and acoustofluidic biophysical therapy. This review aims to provide a concise summary of the current state of research and bridge past developments with future directions, offering researchers a comprehensive overview and sparking innovation in the field.

1. Introduction

Acoustofluidics, an emerging field blending acoustics and fluid mechanics, has garnered widespread interest for its applications in fundamental research and biomedicine [1,2,3]. At its core, the manipulation of living cells with acoustofluidics leverages the differential acoustic radiation and fluid drag forces acting on objects with distinct physical and mechanical properties, resulting in unique motile behaviors within an acoustofluidic environment. Significantly, acoustofluidic methods circumvent the need for additional modifications that could perturb biological activity, such as magnetic binding or immunoassay procedures.
In contrast to optical tweezers, which utilize lasers and risk thermal damage to biological samples, acoustofluidics employs mechanical wave propagation within fluids, presenting no such risk of thermal injury. Furthermore, the acoustic field can be finely tuned by altering the frequency and voltage of the input signal, affording precise remote control. The corresponding acoustic wavelengths in acoustofluidic setups span from several micrometers to hundreds of micrometers, conveniently matching the scale of single cells and micro-tissues [4]. This positions acoustofluidics as an ideal technology for contactless manipulation of living cells across a spectrum of sizes, from micrometers to millimeters, in biomedical analysis.
In view of the vigorous development of the acoustofluidic field, many previous review articles have been published to present in-depth descriptions of the basic principles [5,6,7,8]. This review aims to provide a concise summary of the latest applications and current evolution of acoustofluidic technology in the manipulation of living cells, ranging from suspended single red blood cells (RBCs) to zebrafish larvae. We spotlight and discuss acoustofluidic sorting, patterning for tissue engineering, microscopy, biophysical therapy, and other innovations within the field. Our aim is to illuminate the characteristics and advancements of acoustofluidic technology, fostering an understanding that may spur novel ideas among researchers, thereby catalyzing the interpretation of this technology from the lab to clinical applications. It is envisioned that acoustofluidics will become integral to both foundational research in laboratories and practical clinical applications in hospitals in the foreseeable future.

2. Suspended Single Cells in the Acoustofluidic Field

Acoustic waves are typically generated by piezoelectric transducers. These transducers expand or contract in response to an applied voltage, converting electrical energy into mechanical vibrations that produce the propagation of acoustic waves in the surrounding medium. The acoustic mechanism of bulk acoustic wave (BAW) devices is similar to that of surface acoustic wave (SAW) devices. Due to limitations of material and manufacturing processes, the upper limit of a BAW device’s transducer frequency probably does not exceed a few megahertz. SAW devices can be manufactured by sophisticated semiconductor processes, and the upper frequency limit can reach hundreds of megabytes or even GHz. Here, we take the generation process of surface acoustic waves as an example to illustrate the forces exerted on microscopic particles in the acoustic flow field.
Surface acoustic waves (SAWs), produced by applying an oscillating electrical signal on interdigital transducers (IDT) on piezoelectric material, are acoustic waves that propagate along a surface with a majority of the acoustic energy confined in the vicinity of the surface [9]. Primarily, SAWs have been utilized for telecommunication applications such as signal filtering for radio-frequency (RF) devices, due to the convenience of fabricating SAW chips by producing IDT patterns with achievable dimensions using standard photolithography on a substrate of reasonable size [10]. The anisotropy of a piezoelectric material dictates the waveforms of the generated SAWs. Rayleigh waves, consisting of a longitudinal and transverse motion confined within two wavelengths in depth, are the most common SAW waves for SAW-based microfluidic applications [11]. Other SAW modes, such as shear horizontal waves which involve a horizontal motion and a longitudinal motion, are less applied in microfluidic applications and are not discussed in this review. Surface acoustic waves that are generated by a single set of IDTs are known as travelling surface acoustic waves (TSAWs), while two TSAWs propagating against each other will result in a one-dimensional standing surface acoustic wave (SSAW) field, with pressure nodes and pressure antinodes appearing at fixed locations. When a TSAW impinges on a fluid, part of the TSAW refracts into the fluid, in the form of a longitudinal wave, known as a leaky wave. When the leaky wave propagates inside the viscous fluid, due to the dissipation in the fluid, a time-averaged body force is generated, acting on the fluid along its propagation direction, in turn causing fluid vibrations. This fluid motion is rotational, conforming to the no-slip boundary condition of the wall. This non-linear, steady-state flow phenomenon caused by sound waves interacting with fluid is known as acoustic streaming.
For a particle immersed in an acoustic streaming field with an initial velocity u, it is subjected to a flow drag force induced by the steady-state streaming velocity field, given by the Stokes drag formula [12,13]:
F D = 6 μ f π R p v
μf depicts fluid viscosity, Rp portrays cell radius, and v is the relative velocity between the cell and the liquid fluid flow. This force counterbalances the ARF, enabling precise cell positioning. The acoustic field can usually be constructed by the interdigital transducers (IDT) on the piezoelectric wafer [14] or lead zirconate titanate (PZT) transducer [15]. These fields can be categorized into two types: those combined with continuous fluid flow, primarily used for cell sorting, and those combined with discontinuous fluid flow, typically employed in tissue engineering [16].
When an object is suspended in an acoustic pressure field in a fluid, it is subjected to a time-average force caused by the vibrating fluid volume at high frequencies (kHz or MHz), which is known as the acoustic radiation force (ARF). There are three different scenarios that give rise to the resultant force, namely the interaction with the incident sound wave and the particle, the scattered sound wave on the particle, and finally the sound wave within the particle due to transmittance. The resultant pressure field is dependent on the physical properties of the objects including density, size, and shapes, with two contributing components. The first one is primary ARF, which results from the direct interaction between incident waves and the objects suspended in the fluid, and the second one is secondary ARF, also known as the Bjerknes force, caused by the scattered acoustic waves from other suspended matter acting on the objects.
Due to the nature of cells, the ARF FR is usually defined in cases where compressible spherical particles are suspended in an inviscid fluid [17,18,19]:
F R = ( π p 0 2 V p β f 2 λ ) β , ρ sin ( 4 π x λ )
ϕ β , ρ = 5 ρ p ρ f 2 ρ p + ρ f β p β f
where ϕ is the acoustic contrast factor, representing the difference in compressibility (β) and density (ρ) between the cells (p) and the fluid (f). Here, ρ0 and λ denote the acoustic pressure and wavelength, respectively, and x is the spacing to the nearest pressure node. Cells’ contrast factor is defined as positive and they are propelled towards the pressure nodes, facilitating manipulation [20].
Given by its characteristics, ARF has been utilized extensively for patterning, sorting, and manipulating targeted objects in lab-on-chip applications. The flow pattern of acoustic streaming, correlated with confined fluid shape, the relative position of refracted SAWs in fluid, as well as the operating frequency, could be utilized for biomedical applications including fluid mixing and drug delivery.
In some scenarios, when acoustic waves propagate in a fluid medium, it causes the fluid to undergo stable flow motion, that is, acoustic streaming [21,22,23,24,25]. In the acoustofluidic field, the forces acting on particles’ movement mainly come from the interaction between acoustic waves and the streaming. These forces can be decomposed into two main components: the primary acoustic radiation force [26] and streaming-induced viscous drag force [27]. The dominance of the acoustic radiation forces or streaming-induced drag force on particles in an acoustofluidic field depends on a variety of factors, including the properties of the acoustic field and the properties of the particles and surrounding fluid [28,29,30]. Generally speaking, under certain conditions, such as high acoustic pressure amplitude, large particle size, and low-viscosity fluids, the primary acoustic radiation force dominates the particle motion. In the case of low acoustic pressure amplitude, small particle size, and high-viscosity fluids, streaming drag force dominates. Nonetheless, there are some side effects under extreme conditions, such as overheating, shear force from acoustics-induced streaming, and cavitation, which can directly damage cell structures [31,32]. Most acoustofluidic devices are used only to guide cells’ spatial translocation and are essentially biocompatible [33].

3. Acoustofluidic Cell Sorting

Acoustofluidic cell sorting capitalizes on cells’ physical and mechanical properties to dictate their movement within a field [34,35,36]. A prime example of this acoustofluidic technology’s application is the sorting of living cells from raw blood samples, offering a less invasive alternative to conventional methods like immune antibody capture, which may alter cell viability and biochemical properties [37,38,39,40,41,42,43,44]. Although immunomagnetic bead capture is currently still the gold standard for clinical cell sorting [45,46,47], this acoustic sorting technology enables the sorting of blood cells while preserving their inherent characteristics, allowing for further downstream expansion or biochemical characterization [33,48]. The process of acoustofluidic cell sorting can be likened to the motion of objects in a flat projectile trajectory, combining horizontal linear motion with vertical free-fall. In this analogy, the propagation direction of the acoustic field is usually perpendicular or at an acute angle to the flow direction of the fluid field [49], creating a transverse force component that deflects the cells from the flow direction.
The trajectory of the cells is influenced by the acoustic field intensity and the exposure duration of them to the acoustic field, determining their eventual entry into distinct collection channels for sorting purposes. For illustrative purposes, we discuss the application of acoustofluidic sorting of living blood cells in two categories: automated high-throughput sorting and selective high-precision sorting.

3.1. Automatic High-Throughput Sorting

Blood contains a high concentration of cells of varying sizes, such as plasma, platelets (PLTs), white blood cells (WBCs), and red blood cells (RBCs), each with distinct dimensions [50]. For example, the main components of blood are RBCs with a diameter of approximately 6 μm, white blood cells (WBCs) with a diameter of approximately 13 μm, platelets (PLTs) with a diameter of approximately 3 μm, and plasma.
These different types of blood cells each have significant concentrations [51,52]. These size differences result in varied force impacts in the acoustofluidic field, leading to different cell trajectories. Moreover, quantifying various blood cell concentrations is often essential for clinical diagnoses [53,54,55]. Thus, acoustofluidic cell sorting emerges as an optimal solution for high-throughput separation of the blood components [42].
Richard et al. introduced an acoustofluidic device capable of separating platelets from RBCs in whole blood with high throughput. This device operates with a standard standing surface acoustic wave (SSAW)-driven resonator [56]. By establishing a stable standing acoustic field over a sufficient area, the cells in flow are directed either perpendicularly or obliquely to the flow, leading to their segregation into different channels (Figure 1A). Here, two perpendicular standing acoustic fields are constructed in relation to the hydrodynamic flow. First, the RBCs and PLTs are focused into a single profile by two sheath flows. Fine-tuning the SSAW frequency and phase, along with the microfluidic channel dimensions and positioning, results in a targeted separation of RBCs and PLTs, facilitating downstream analysis. Specifically, the first SSAW field (13 MHz, 150 mW) forms an acoustic pressure distribution in the first half of the channel with a pressure node sandwiched between two pressure antinodes, while the second SSAW field (12.7 MHz, 120 mW) forms an acoustic pressure distribution with two pressure nodes sandwiching one pressure antinode in the second half of the channel. As a result, the first SSAW field enhances cell stream narrowing in the fluidic channel center. Then, RBCs, which are significantly larger than PLTs, migrate to the two pressure nodes close to both sides of the channel when passing through the second SSAW field. The PLTs remain at the antinode in the middle of the channel while flowing straight forward with the flow. In this way, the PLTs are separated from the RBCs for potential downstream analysis.
Similar proof-of-concept studies are abound [57,58,59,60]. However, these SAW-based sorting devices remain precision instruments with high associated costs, requiring micro–nano-manufacturing in cleanrooms. Additionally, the effective acoustic field space is limited, indicating potential for throughput enhancement. Gu et al. innovatively utilized commercially available low-frequency piezoelectric transducers (610 KHz) with high-throughput manufacturable plastic channels (Figure 1B), successfully creating a scalable BAW acoustofluidic platelet sorting device with broad production potential [61,62]. Although ultracentrifugation remains the clinical gold standard for cell sorting, the low-cost, user-friendly, and functional acoustofluidic sorting equipment presented by Gu betokens a significant step towards practical point-of-care testing applications.
Figure 1. (A) Schematic illustration and images of the standing surface acoustic wave (SSAW)-based device for PLT separation. Reprinted with permission from [56]. (B) Photograph of the acoustic platelet separation device and schematic illustration of the acoustofluidic PLT separation process. Reprinted with permission from [62]. (C) Schematic illustration of the tilted-angle SSAW device for circulating cancer cell separation. Reprinted with permission from [63].
Figure 1. (A) Schematic illustration and images of the standing surface acoustic wave (SSAW)-based device for PLT separation. Reprinted with permission from [56]. (B) Photograph of the acoustic platelet separation device and schematic illustration of the acoustofluidic PLT separation process. Reprinted with permission from [62]. (C) Schematic illustration of the tilted-angle SSAW device for circulating cancer cell separation. Reprinted with permission from [63].
Micromachines 15 00466 g001

3.2. Selective High-Precision Sorting

Selective high-precision acoustofluidic sorting is particularly valuable for isolating rare cellular targets from blood components, such as isolated circulating tumor cells (CTCs) from patient blood samples (Figure 1C) [63]. These cells typically occur at a low frequency, approximately 10 CTCs per mL of whole blood [64,65,66]. To enhance sorting accuracy, researchers often dilute the sample to align cells in a single-file flow, thereby maintaining a uniform intercellular distance and allowing cells to pass through the detection and sorting zones sequentially. This necessitates an acoustofluidic device with a sufficiently narrow acoustic coverage zone, designed to target individual cells without affecting adjacent non-target cells [67].
A significant advancement was reported by Nawaz et al. in 2016 with a fluorescence-activated acoustofluidic cell sorter, utilizing a standard interdigitated transducer (SIDT) pair to create a SSAW working zone (−2.8 dBm, 33.8 MHz) (Figure 2A). The device featured an IDT with a short active region of 120 μm. Upon fluorescence-based detection of target cells, the system triggers the sorting module after a pre-defined delay, ensuring that the sorting action coincides with the target cell’s presence within the effective area. This synchronization enables the integration of identification and sorting with single-cell accuracy [68].
Subsequent research further indicated that focused IDT (FIDT) configurations can yield smaller areas of impact (Figure 2B), allowing for closer spacing of cells and higher throughput efficiency [69,70]. In 2018, Ren et al. reported an FIDT-based fluorescence-activated cell sorter (32.8 MHz) achieving a throughput of 2500 events per second (Figure 2C) [71]. Moreover, sorters based on traveling waves generated by a single FIDT are gaining popularity [72,73,74,75,76,77]. Although the acoustic potential energy distribution in a traveling acoustic wave field may not be as uniform and stable as in a standing acoustic wave field, the presence of a single target within the action area, coupled with a transient high-energy traveling wave, is sufficient to propel the target cell a considerable longitudinal distance.
Figure 2. (A) Schematic illustration of a standing surface acoustic wave (SSAW)-based acoustofluidic single-cell sorting device indicating the focusing region and channel cross section delineating the sorting mechanism. Reprinted with permission from [68]. (B) Images of SSAW-based particle patterning by FIDTs (left) and SIDTs (right). Reprinted with permission from [70]. (C) Schematic illustration of the SSAW-based FACS chip and microscopic image of the focusing and sorting units. Reprinted with permission from [71]. (D) Schematic illustration and micrograph of the fluorescence-activated sorting process in focused traveling surface acoustic wave-based sorting chip. Reprinted with permission from [78].
Figure 2. (A) Schematic illustration of a standing surface acoustic wave (SSAW)-based acoustofluidic single-cell sorting device indicating the focusing region and channel cross section delineating the sorting mechanism. Reprinted with permission from [68]. (B) Images of SSAW-based particle patterning by FIDTs (left) and SIDTs (right). Reprinted with permission from [70]. (C) Schematic illustration of the SSAW-based FACS chip and microscopic image of the focusing and sorting units. Reprinted with permission from [71]. (D) Schematic illustration and micrograph of the fluorescence-activated sorting process in focused traveling surface acoustic wave-based sorting chip. Reprinted with permission from [78].
Micromachines 15 00466 g002
Ma et al. introduced a system utilizing a focused traveling surface acoustic beam to deflect targets for fluorescence-activated cell sorting (FACS) in 2017 [78]. The system is reportedly capable of sorting targeted single cells at kHz rates, while preserving post-sorting cell viability above 95% (Figure 2D). Building on this, Nawaz et al. recently integrated image-based cell analysis with the focused traveling surface acoustic wave-based cell sorting system [79]. These innovations suggest that acoustofluidic sorters are poised for future integration with real-time analysis systems, offering enhanced functionality and efficiency [80,81].

4. Acoustofluidic Patterning of Living Cells for Tissue Engineering

Acoustofluidic patterning, which capitalizes on stable standing wave fields in a discontinuous fluid environment, is gaining traction in regenerative medicine and biomedicine [82,83]. This technique can be likened to a microscale application of Faraday’s classic Chladni plate experiment, exploiting the non-contact, remote manipulation capabilities of acoustofluidics to precisely position live cells without compromising their viability, thus making it exceptionally suitable for tissue engineering endeavors [84,85]. Based on the non-contact, remote manipulation and biocompatible characteristics of acoustofluidics on live cells, a stable standing wave field can relocate to a specific location without affecting the cell state, which makes it very suitable for tissue engineering-related projects [86]. Particularly, in applications where acoustofluidic patterning is combined with light-curable hydrogels, the acoustic field initially redistributes cells within the pre-gel solution. Upon gel solidification, the cells’ spatial arrangement is fixed, maintaining the pattern even after the acoustic influence is removed (Figure 3A) [87,88]. A typical approach involves creating one- or two-dimensional standing wave fields, with the former arranging cells into parallel line arrays and the latter into dot-matrix patterns [89,90]. Here, the randomly distributed cells are redesignated to the nearest pressure nodes, generally spaced at half-wavelength intervals, with the node’s size—and hence the number of cells it can gather—proportional to the wavelength and the original cell suspension concentration [91,92]. The selection of the wave field orientation and wavelength is regulated by the unique requirements of the specific application. Acoustofluidic patterning is commonly employed in the high-throughput production of cell spheroids, offering a more efficient and controlled alternative to traditional methods that rely on passive cell aggregation in well plates [93,94,95,96,97,98,99,100,101,102,103]. This is often time-consuming and lacks control over spheroid uniformity. This active acoustofluidic patterning assembly process ensures uniform spheroid size by confining a similar number of cells at each pressure node, thus enhancing uniformity and reducing formation time [104].
Luo et al. introduced an integrated BAW acoustic chip for generating cell spheroids, using a pair of flat identical piezoelectric transducers aligned parallel at both ends of capillary tubes (Figure 3B). When activated by a low-power signal (0.1 W), a series of stable one-dimensional standing wave fields (from 230 kHz to 1.1 MHz) form, causing cells to coalesce at pressure nodes acting as invisible micro-wells to confine the cells. After a brief incubation, uniform cell spheroids are produced, primed for drug testing [105]. Notably, the group replaced bulky power amplifiers and signal generators with compact circuitry, making the device portable and accessible for mass production and use in biological labs without specialized piezoelectric expertise. Extending this concept, Miao et al. developed a vertical, multi-layered approach for BAW acoustofluidic cell cluster patterning, effectively creating a three-dimensional cell lattice and, thus, expanding the method’s theoretical capacity (Figure 3C). If integrated with Luo’s platform, this innovation could herald a new era of high-throughput, low-cost, automated spheroid generation equipment [106]. In parallel with the trajectory of 3D bioprinting, the prospect of commercially available acoustofluidic devices promises to significantly advance the field of biomedical engineering.
In applications where parallel line arrays are desired, such as in the engineering of strip-structured tissues like blood vessels, acoustofluidic patterning has demonstrated significant potential [107,108,109]. Kang et al. aligned endothelial cells into parallel arrays using acoustofluidics, which improved endothelial cell–cell interactions and gene expression, thus enhancing vascular tissue regeneration [110]. Similarly, Armstrong et al. employed ultrasound standing waves (6.7 MHz) to arrange living chondrocytes into anisotropic arrays with high resolution, showing improved articular cartilage regeneration (Figure 3D) [111]. While the patterning achievable with acoustofluidics may not offer the flexibility of 3D printing, its single-cell-level precision opens up possibilities for the regeneration of specialized and structurally specific tissues [112,113,114]. It is worth talking about acoustofluidic hologram patterning technology, which can shape sound waves into desired complex patterns [115,116,117]. Unlike traditional traveling wave interference, the mechanism of acoustofluidic holography is that when a planar acoustic wave strikes a 3D-printed mask template with the desired front phase encoded in the surface profile, it is affected by a bump pattern on the template. Its phase and amplitude are modulated according to a predetermined algorithm, thereby forming a complex-shaped pressure distribution. In this way, the spatial information of the tangible patterns on the template mask is transmitted to space through invisible acoustic waves [118]. Melde et al. even presented a 3D holographic assembly of cells and microgel beads in liquid in a centrifuge tube, and this is encouraging for tissue engineering and additive manufacturing fields [119,120,121,122,123]. Despite its great promise, to date, there have been few reported applications of this technology in the manipulation of living cells. One of the main limitations may come from the manufacturing of acoustofluidic hologram templates [124]. The range of materials compatible with acoustic properties is limited, and so are the available processing techniques, resulting in limited resolution. As exploration continues to advance, this technology promises to be truly revolutionary [125,126].
Figure 3. (A) Schematic illustration of the entire process for standing surface acoustic wave (SSAW)-based fiber generation with the patterned cell inside. The cells are resuspended in the light-curable hydrogel solution and loaded into a capillary tube. Then, the SSAW is activated to align the cells in the polymerized hydrogel fiber. Reprinted with permission from [87]. (B) Schematic diagram of the cell assembly in a portable acoustofluidic device. Reprinted with permission from [105]. (C) Acoustic pressure field generated by a 3D acoustic assembly device, and suspended cells are periodically distributed in a 3D dot-matrix pattern. Reprinted with permission from [106]. (D) Acoustic cell patterning can be used to produce hyaline cartilage tissue models, maintaining deep zone cytoarchitecture. Reprinted with permission from [111].
Figure 3. (A) Schematic illustration of the entire process for standing surface acoustic wave (SSAW)-based fiber generation with the patterned cell inside. The cells are resuspended in the light-curable hydrogel solution and loaded into a capillary tube. Then, the SSAW is activated to align the cells in the polymerized hydrogel fiber. Reprinted with permission from [87]. (B) Schematic diagram of the cell assembly in a portable acoustofluidic device. Reprinted with permission from [105]. (C) Acoustic pressure field generated by a 3D acoustic assembly device, and suspended cells are periodically distributed in a 3D dot-matrix pattern. Reprinted with permission from [106]. (D) Acoustic cell patterning can be used to produce hyaline cartilage tissue models, maintaining deep zone cytoarchitecture. Reprinted with permission from [111].
Micromachines 15 00466 g003

5. Acoustofluidic Microscopy

Another important topic that has gained interest recently is the ability to manipulate living organisms for microscopic examination; such tasks can be challenging when dealing with living organisms [127]. Precisely manipulating the physical position of living objects is of great significance for multiple biomedical research applications such as investigating single-cell analysis and imaging motile organism morphology [128]. In 2015, Collins et al. reported a two-dimensional SSAW field with an internodal spacing of single-cell level [129]. The group reported that the minimum wavelength of acoustic waves was 15 μm and demonstrated the acoustofluidic single-cell patterning array (201 MH) of individual RBCs (Figure 4A). This project hints at the technology’s potential for regular and controllable distribution of single cells for microscopic observation. Recently, Yang et al. announced an acoustofluidic tweezer platform for single-cell profiling at high throughput [130]. They loaded a cell suspension into a time-effective Fourier-synthesized harmonic acoustic field. The acoustic patterning could efficiently distribute single cells into lattice grids to avoid cell overlapping in the microscopic imaging region. Compared with conventional flow cytometry, cells lined in a row flashing past in front of a camera, this acoustofluidic method can maintain the spatial distribution of individual cells under a microscope for a long time, which is undoubtedly more conducive to multi-angle, high-precision, and long-term microscopic analysis. Furthermore, they even demonstrated that acoustic tweezers could simultaneously pair and separate more than 100 pairs of cells in suspension, enabling the quantification of cell-to-cell interaction within these pairs. This suggests that this technology may be used in the future for high-throughput killing capability screening and retrospection of immune cells, which may contribute to the development of cell therapies, such as the development of CAR-T cells for antitumor treatment [131,132].
In addition to single-cell analysis, acoustofluidics also contributes in living microorganism microscopy [133]. Caenorhabditis elegans (C. elegans) has long been a classic model organism for developmental biology research. Controllable rotational manipulation of C. elegans is essential in three-dimensionally interrogating organism morphologies, tissue structure, and organs at desired orientations. Zhang et al. used a SAW (19.32 MHz) to generate a streaming vortex distribution inside a microfluidic channel (Figure 4B) [134], thereby achieving bidirectional rotation of elegans for high-resolution microscopy from different orientations [135]. The technology’s potential does not stop there, though. The zebrafish is another classic and important model animal. It has higher tissue complexity, a larger body size, and a more complex spatial distribution of organs among vertebrae. As a subject of preclinical studies of different drugs, a comprehensive phenotypic evaluation of zebrafish is necessary. Chen et al. presented a SAW-based acoustofluidic rotational tweezing platform to generate vortex acoustic streaming for zebrafish larvae manipulation [136]. The reported acoustofluidic system enables non-contact rapid rotation of the zebrafish body, accomplishing multispectral imaging of their internal organs from different viewing angles. It is worth emphasizing that all these acoustofluidic microscopy systems have good biocompatibility and are friendly to the living objects being characterized.
Figure 4. (A) Schematic illustration of standing surface acoustic wave (SSAW)-based one cell per acoustic well (OCPW) device. Two columns of standing waves perpendicular to the propagation direction are superimposed on each other to form an array of potential energy wells. Reprinted with permission from [129]. (B) Schematic illustration of a surface acoustic wave (SAW)-based acoustofluidic chip, which is capable of on-demand rotation of C. elegans for microscopic imaging. The red arrow stands for the rotation direction of acoustic streaming vortex. Reprinted with permission from [134].
Figure 4. (A) Schematic illustration of standing surface acoustic wave (SSAW)-based one cell per acoustic well (OCPW) device. Two columns of standing waves perpendicular to the propagation direction are superimposed on each other to form an array of potential energy wells. Reprinted with permission from [129]. (B) Schematic illustration of a surface acoustic wave (SAW)-based acoustofluidic chip, which is capable of on-demand rotation of C. elegans for microscopic imaging. The red arrow stands for the rotation direction of acoustic streaming vortex. Reprinted with permission from [134].
Micromachines 15 00466 g004

6. Acoustofluidic Biophysical Therapy

Beyond merely guiding object trajectories via tailored acoustofluidic fields, researchers have progressively unveiled that living cells, contingent upon their physiological states, demonstrate varying responses to acoustofluidic stimulation [137]. Referencing such insights, a range of acoustofluidic biophysical phenotyping platforms have been conceptualized. Notably, in 2018, the Greco team elucidated that surface acoustic wave (SAW) excitation (48.8 MHz) can engender considerable fluid recirculation within a Petri dish while imposing minimal thermal effects (as depicted in Figure 5A). This stimulation was correlated with a notable 36% increase in cell proliferation compared to a control [138]. The following year, the Devendran group observed that acoustofluidic exposure could attenuate cell adhesion, abate cell spread, and most markedly, augment cell metabolic activity without compromising cell viability [139]. Although the precise mechanisms remain to be delineated, these observations suggest that acoustofluidic activation can modulate biological activities in cells. In more recent advancements, Kim and colleagues embarked on preclinical explorations [140], discovering that an acoustically (96.7 MHz) actuated dynamic cell culture system could bolster the activity of natural killer cells, thereby enhancing their cytotoxicity against target tumor cells (as shown in Figure 5B). This revelation has been touted as a potential precursor to novel applications for functionally optimized immune cells.
Acoustofluidic phenotyping extends its utility from individual cell applications to encompass whole, living cells in motion. For example, Bhadra et al. introduced an acoustofluidic gym that utilized an on-chip polydimethylsiloxane (PDMS) chamber containing medium, which was placed centrally between a pair of interdigital transducers (IDTs). This setup facilitates a systematic examination of varying exercise protocols and their consequences on neuronal integrity. By adjusting the duration and power intensity of SAW actuation, an optimal exposure setting has been found that substantially mitigates neurodegenerations in both models. This research underscores the nuanced relationship between exercise parameters and neuroprotection in C. elegans, unveiling the acoustofluidic gym as an instrumental tool for further inquiries in this domain [141,142]. More clinically, Gai et al. have contributed an innovative, automated methodology for the selection of high-quality sperm, targeting the resolution of male infertility [143,144]. This method is anchored in the virtual Deterministic Lateral Displacement (vDLD) principle, which leverages surface acoustic waves (SAWs) (19.3 MHz) to selectively displace sperm cells within a microfluidic channel (Figure 5C). Sperm with standard morphological characteristics, heightened DNA integrity, and superior motility are segregated and transported across the channel, effectively distinguishing them from nonviable cells and detritus. This technique has demonstrated substantial enhancements in sperm quality, evidenced by over 50% improvement in vitality, more than 60% improvement in progressive motility, and an increase in DNA integrity exceeding 38%. Its automated functionality and the simultaneous assessment of multiple sperm quality parameters suggest its significant promise for advancing Assisted Reproductive Technologies (ART). Additionally, this research team has shown that high-frequency SAW (2 W, 19.28 MHz) application can elevate sperm motility (Figure 5D), presumably by intensifying the rate of intracellular metabolic processes and bolstering energy production [145]. Although the detailed molecular mechanisms underpinning acoustofluidic biophysical therapy remain to be fully elucidated, the observed efficacies of this approach are undeniable. Consequently, acoustofluidic mechanotherapy is regarded as having considerable potential to facilitate fertility treatments.
Figure 5. (A) Schematic illustration of a surface acoustic wave (SAW)-driven device for dynamic cell cultures. Acoustic streaming is activated with negligible heating in a dish to promote cell proliferation. Reprinted with permission from [138]. (B) Schematic illustration of a SAW-based microreactor system for dynamic immune cell culture. Acoustic streaming is triggered to adjust cytotoxic activity of natural killer cells. Reprinted with permission from [140]. (C) Schematic illustration of a SAW-based microfluidic sperm selection device. The sperms with better motility and DNA integrity are singled out in the acoustofluidic field. Reprinted with permission from [143]. (D) Schematic illustration of a standing surface acoustic wave (SSAW)-based microfluidic chamber to encourage sperm motility through acoustic actuation. Reprinted with permission from [145].
Figure 5. (A) Schematic illustration of a surface acoustic wave (SAW)-driven device for dynamic cell cultures. Acoustic streaming is activated with negligible heating in a dish to promote cell proliferation. Reprinted with permission from [138]. (B) Schematic illustration of a SAW-based microreactor system for dynamic immune cell culture. Acoustic streaming is triggered to adjust cytotoxic activity of natural killer cells. Reprinted with permission from [140]. (C) Schematic illustration of a SAW-based microfluidic sperm selection device. The sperms with better motility and DNA integrity are singled out in the acoustofluidic field. Reprinted with permission from [143]. (D) Schematic illustration of a standing surface acoustic wave (SSAW)-based microfluidic chamber to encourage sperm motility through acoustic actuation. Reprinted with permission from [145].
Micromachines 15 00466 g005

7. Acoustofluidic Droplet Printing

The surface acoustic wave-powered acoustofluidic droplet printing technique is an increasingly popular technique used to promote fluid–substrate interaction and realize three-dimensional spatial translocation of micro-droplets [146,147,148]. The most common concept is to use focused interdigital transducers (FIDTs) to transfer mechanical energy into a liquid and produce a jet to create tiny droplets [149,150]. Basically, two identical leaky surface acoustic waves (LSAWs) are released from opposing FIDTs and interfere with each other. Eventually, an intense acoustic pressure profile is formed at the geometrical focus to levitate the liquid–air interface above the acoustic energy’s focus [151]. When the mechanical vibration strength is strong enough to break the surface tension, the liquid above is deformed into elongated liquid columns (Figure 6A). Finally, tiny droplets are dispensed into the air [152]. Compared with the traditional water-in-oil droplet manufacturing method that uses the oil phase to shear the water phase, the acoustofluidic droplet printing technique gets rid of the limitations of the physical device channel and can directly create water-in-air droplets in an oil-free manner [153]. Without the conventional and complex oil–water separation operations, the droplets can be isolated and collected directly for subsequent applications. Further, the technique possesses the ability to precisely control the spatial position of a single droplet, unmatched by the resolution of traditional 3D bioprinting. Combined with a suitable hydrogel matrix, this technology is particularly suitable for constructing complex micro-physiological environments for in vitro tissue engineering research [154,155,156,157,158,159]. Chen et al. presented a functional tumor microenvironment constructed by the acoustofluidic droplet printing technique in 2021 (Figure 6B) [160]. They first demonstrated that a droplet array with a specific geometry can be generated on demand with the technique. Then, both the single-cell-laden droplet and single-cell spheroid-laden droplet printing processes were manifested. As a complete product display, the research group embedded a tumor spheroid right in the center of a single cancer-associated fibroblast (CAF)-rich microenvironment. They claimed that this advanced acoustofluidic bioprinting technique features high precision while maintaining low cell damage characteristics and is believed to support other in vitro disease model constructions. Soon after, Gong et al. reported tumor organoid formation through the same technique, proving that the technique can really deal with clinical samples (Figure 6C) [161]. Large-scale patient-derived bladder tumor organoids mimicking the in vivo immune microenvironment were produced within one week as part of an in vitro model to screen a potential personalized tumor immunotherapy. All these works testify that the technology can be used as a practical alternative to overcome the limitations of conventional 3D bioprinting technology when targeting microscopic models for in vitro investigation.

8. Acoustofluidic Intracellular Delivery

Intracellular cargo delivery is challenging but critical for many biotechnological applications, such as T-cell reprogramming for immunotherapy [162]. At present, electroporation is the most widely used strategy for transport across cell membranes but is still limited by throughput, efficiency, cost, and biocompatibility [163]. It is often difficult to control the electric field strength to favor the survival of most cells. Acoustofluidic delivery is based on mechanical effects and avoids the thermal and breakdown phenomena accompanying the electroporation effect; thus, it is expected to become a new-generation intracellular cargo delivery method that can be applied clinically [164,165,166,167,168]. The mechanism of acoustofluidic delivery is relatively complicated [169,170]. When acoustic waves propagate in a liquid containing cells, the cells are affected by both the acoustic radiation force and the shear force from the acoustic streaming flow. At the same time, tiny bubble nuclei in the liquid may be activated under the action of ultrasonic waves, manifesting as a series of dynamic processes such as the oscillation, growth, shrinkage, and collapse of the bubble nuclei, which is called ultrasonic cavitation. These bubbles may directly or indirectly act on cells to deform cell membranes, thereby affecting membrane permeability [171,172,173]. Salari et al. reported a relatively low-frequency (96 kHz) Lamb wave-based microfluidic BAW methodology for intracellular delivery in 2021 (Figure 7A) [174]. Once the acoustic source is activated, the adherent cells cultured nearby are subjected to mechanical oscillations from the underlying substrate and flow stress from the fluid above. The research team demonstrated the transport of cargo materials into the cells, including 500 kDa dextran, siRNA, and plasmids, without affecting cell viability. At the same time, Ramesan et al. reported a similar platform with high-frequency (30 MHz) acoustic excitation that could also adjust the membrane permeabilization for siRNA transport into nonadherent cells (Figure 7B) [175]. The same year, Guo et al. presented a high-resolution recording of a dynamic cell deformation process and membrane permeability modulation within their acoustofluidic delivery platform (1.64 GHz) (Figure 7C) [176]. It could be clearly observed that the adherent cells sway back and forth in the acoustic fluid field at ultra-high-frequency level, causing the deformation of the cell membrane. To examine whether intracellular delivery was achieved successfully, Belling et al. exploited confocal laser scanning to show that fluorescently labeled DNA were distributed throughout cell cytosol and on the cell membrane in acoustofluidically treated cells (Figure 7D) [177]. In addition to being applied to intracellular delivery at the single-cell level, researchers are also trying to combine this technology with wearable devices for controlled transdermal drug delivery at the tissue level, and the results are also promising [178,179]. Although it has natural advantages in preserving cell viability, the specific principles of this technology have yet to be confirmed qualitatively and quantitatively, which is fundamental for its future standardization and high-throughput scaling application.

9. Summary and Outlook

The acoustofluidic manipulation of living cells represents an emerging and rapidly growing field with vast potential. Characterized by its contactless, non-altering, and benign bio-friendly nature, acoustofluidic techniques are particularly well suited for the manipulation of living cells [180,181]. With decades of laboratory research underpinning its development, this technology is becoming more widely adopted in laboratories worldwide, leading to a variety of innovative applications. Today, acoustofluidic technology can not only serve as a reliable assistant to facilitate fundamental biomedical research [182] but can also be integrated with automated robotic arm systems to create more advanced research instruments [183,184]. Moreover, the emergence of startups specializing in acoustofluidic technologies is a testament to its commercial viability and potential for growth. Looking ahead, there is an anticipation that acoustofluidics will converge with other technologies such as magnetic, optical, chemical, and artificial intelligence methods, thereby fostering new multidisciplinary technologies and therapeutic strategies [185,186,187,188,189,190,191,192]. Of course, there are still key bottlenecks in this technology that need to be solved. As a subdivision derived from microfluidic technology, most of the reported proof-of-concept devices were still fabricated with microfabrication techniques, such as photolithography and molding and replicas [193]. After plasma bonding piezoelectric wafers with PDMS material, researchers can customize acoustofluidic devices in a cleanroom in a fast manner. However, this silicone material in turn limits the large-scale manufacturing of proven devices. Plastic materials such as acrylic can be processed quickly, but there is no effective process to assemble them with piezoelectric materials without affecting acoustic field performance. In the future, the development of new materials or advances in processing techniques could further drive the true industrialization of acoustofluidic technology.

Author Contributions

Y.L. (Yaling Liu) and Y.L. (Yi Liu) conceived and supervised the study. Y.W. and J.G. wrote the manuscript. Y.W., J.G., Y.Z., Y.L. (Yaling Liu), and Y.L. (Yi Liu) revised the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

No new data were created.

Conflicts of Interest

The authors declare no competing financial interests.

References

  1. Guex, A.G.; Di Marzio, N.; Eglin, D.; Alini, M.; Serra, T. The Waves That Make the Pattern: A Review on Acoustic Manipulation in Biomedical Research. Mater. Today Bio 2021, 10, 100110. [Google Scholar] [CrossRef]
  2. Rufo, J.; Cai, F.; Friend, J.; Wiklund, M.; Huang, T.J. Acoustofluidics for Biomedical Applications. Nat. Rev. Methods Primers 2022, 2, 30. [Google Scholar] [CrossRef]
  3. Akkoyun, F.; Gucluer, S.; Ozcelik, A. Potential of the Acoustic Micromanipulation Technologies for Biomedical Research. Biomicrofluidics 2021, 15, 061301. [Google Scholar] [CrossRef]
  4. Liu, Y.; Yin, Q.; Luo, Y.; Huang, Z.; Cheng, Q.; Zhang, W.; Zhou, B.; Zhou, Y.; Ma, Z. Manipulation with Sound and Vibration: A Review on the Micromanipulation System Based on Sub-MHz Acoustic Waves. Ultrason. Sonochemistry 2023, 96, 106441. [Google Scholar] [CrossRef]
  5. Connacher, W.; Zhang, N.; Huang, A.; Mei, J.; Zhang, S.; Gopesh, T.; Friend, J. Micro/Nano Acoustofluidics: Materials, Phenomena, Design, Devices, and Applications. Lab Chip 2018, 18, 1952–1996. [Google Scholar] [CrossRef]
  6. Fu, Y.Q.; Luo, J.K.; Nguyen, N.T.; Walton, A.J.; Flewitt, A.J.; Zu, X.T.; Li, Y.; McHale, G.; Matthews, A.; Iborra, E.; et al. Advances in Piezoelectric Thin Films for Acoustic Biosensors, Acoustofluidics and Lab-on-Chip Applications. Prog. Mater. Sci. 2017, 89, 31–91. [Google Scholar] [CrossRef]
  7. Friend, J.; Yeo, L.Y. Microscale Acoustofluidics: Microfluidics Driven via Acoustics and Ultrasonics. Rev. Mod. Phys. 2011, 83, 647–704. [Google Scholar] [CrossRef]
  8. Destgeer, G.; Sung, H.J. Recent Advances in Microfluidic Actuation and Micro-Object Manipulation via Surface Acoustic Waves. Lab Chip 2015, 15, 2722–2738. [Google Scholar] [CrossRef]
  9. Yeo, L.Y.; Friend, J.R. Surface Acoustic Wave Microfluidics. Annu. Rev. Fluid Mech. 2014, 46, 379–406. [Google Scholar] [CrossRef]
  10. Yeo, L.Y.; Friend, J.R. Ultrafast Microfluidics Using Surface Acoustic Waves. Biomicrofluidics 2009, 3, 12002. [Google Scholar] [CrossRef]
  11. Collins, D.J.; O’Rorke, R.; Neild, A.; Han, J.; Ai, Y. Acoustic Fields and Microfluidic Patterning around Embedded Micro-Structures Subject to Surface Acoustic Waves. Soft Matter 2019, 15, 8691–8705. [Google Scholar] [CrossRef] [PubMed]
  12. Shi, J.; Yazdi, S.; Lin, S.-C.S.; Ding, X.; Chiang, I.-K.; Sharp, K.; Huang, T.J. Three-Dimensional Continuous Particle Focusing in a Microfluidic Channel via Standing Surface Acoustic Waves (SSAW). Lab Chip 2011, 11, 2319–2324. [Google Scholar] [CrossRef] [PubMed]
  13. Meng, L.; Cai, F.; Li, F.; Zhou, W.; Niu, L.; Zheng, H. Acoustic Tweezers. J. Phys. D Appl. Phys. 2019, 52, 273001. [Google Scholar] [CrossRef]
  14. Chen, K.; Wu, M.; Guo, F.; Li, P.; Chan, C.Y.; Mao, Z.; Li, S.; Ren, L.; Zhang, R.; Huang, T.J. Rapid Formation of Size-Controllable Multicellular Spheroids via 3D Acoustic Tweezers. Lab Chip 2016, 16, 2636–2643. [Google Scholar] [CrossRef] [PubMed]
  15. Cai, H.; Ao, Z.; Wu, Z.; Song, S.; Mackie, K.; Guo, F. Intelligent Acoustofluidics Enabled Mini-Bioreactors for Human Brain Organoids. Lab Chip 2021, 21, 2194–2205. [Google Scholar] [CrossRef] [PubMed]
  16. Gao, Y.; Fajrial, A.K.; Yang, T.; Ding, X. Emerging On-Chip Surface Acoustic Wave Technology for Small Biomaterials Manipulation and Characterization. Biomater. Sci. 2020, 9, 1574–1582. [Google Scholar] [CrossRef] [PubMed]
  17. Ding, X.; Lin, S.-C.S.; Kiraly, B.; Yue, H.; Li, S.; Chiang, I.-K.; Shi, J.; Benkovic, S.J.; Huang, T.J. On-Chip Manipulation of Single Microparticles, Cells, and Organisms Using Surface Acoustic Waves. Proc. Natl. Acad. Sci. USA 2012, 109, 11105–11109. [Google Scholar] [CrossRef] [PubMed]
  18. Ding, X.; Li, P.; Lin, S.-C.S.; Stratton, Z.S.; Nama, N.; Guo, F.; Slotcavage, D.; Mao, X.; Shi, J.; Costanzo, F.; et al. Surface Acoustic Wave Microfluidics. Lab Chip 2013, 13, 3626–3649. [Google Scholar] [CrossRef] [PubMed]
  19. Wang, S.; Wang, X.; You, F.; Xiao, H. Review of Ultrasonic Particle Manipulation Techniques: Applications and Research Advances. Micromachines 2023, 14, 1487. [Google Scholar] [CrossRef]
  20. Ding, X.; Shi, J.; Lin, S.-C.S.; Yazdi, S.; Kiraly, B.; Huang, T.J. Tunable Patterning of Microparticles and Cells Using Standing Surface Acoustic Waves. Lab Chip 2012, 12, 2491–2497. [Google Scholar] [CrossRef]
  21. Muller, P.B.; Barnkob, R.; Jensen, M.J.H.; Bruus, H. A Numerical Study of Microparticle Acoustophoresis Driven by Acoustic Radiation Forces and Streaming-Induced Drag Forces. Lab Chip 2012, 12, 4617–4627. [Google Scholar] [CrossRef] [PubMed]
  22. Barnkob, R.; Augustsson, P.; Laurell, T.; Bruus, H. Acoustic Radiation- and Streaming-Induced Microparticle Velocities Determined by Microparticle Image Velocimetry in an Ultrasound Symmetry Plane. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 2012, 86, 056307. [Google Scholar] [CrossRef] [PubMed]
  23. Devendran, C.; Collins, D.J.; Neild, A. The Role of Channel Height and Actuation Method on Particle Manipulation in Surface Acoustic Wave (SAW)-Driven Microfluidic Devices. Microfluid. Nanofluidics 2022, 26, 9. [Google Scholar] [CrossRef]
  24. Hahn, P.; Leibacher, I.; Baasch, T.; Dual, J. Numerical Simulation of Acoustofluidic Manipulation by Radiation Forces and Acoustic Streaming for Complex Particles. Lab Chip 2015, 15, 4302–4313. [Google Scholar] [CrossRef] [PubMed]
  25. Wei, W.; Wang, Y.; Wang, Z.; Duan, X. Microscale Acoustic Streaming for Biomedical and Bioanalytical Applications. TrAC Trends Anal. Chem. 2023, 160, 116958. [Google Scholar] [CrossRef]
  26. Urban, M.W. Production of Acoustic Radiation Force Using Ultrasound: Methods and Applications. Expert Rev. Med. Devices 2018, 15, 819–834. [Google Scholar] [CrossRef] [PubMed]
  27. Jannesar, E.A.; Hamzehpour, H. Acoustic Tweezing of Microparticles in Microchannels with Sinusoidal Cross Sections. Sci. Rep. 2021, 11, 17902. [Google Scholar] [CrossRef] [PubMed]
  28. Sadhal, S.S. Acoustofluidics 13: Analysis of Acoustic Streaming by Perturbation Methods. Lab Chip 2012, 12, 2292–2300. [Google Scholar] [CrossRef]
  29. Sadhal, S.S. Acoustofluidics 15: Streaming with Sound Waves Interacting with Solid Particles. Lab Chip 2012, 12, 2600–2611. [Google Scholar] [CrossRef]
  30. Gedge, M.; Hill, M. Acoustofluidics 17: Theory and Applications of Surface Acoustic Wave Devices for Particle Manipulation. Lab Chip 2012, 12, 2998–3007. [Google Scholar] [CrossRef]
  31. Suslick, K.S.; Didenko, Y.; Fang, M.M.; Hyeon, T.; Kolbeck, K.J.; McNamara, W.B., III; Mdleleni, M.M.; Wong, M. Acoustic Cavitation and Its Chemical Consequences. Philos. Trans. R. Soc. London. Ser. A Math. Phys. Eng. Sci. 1999, 357, 335–353. [Google Scholar] [CrossRef]
  32. Mitome, H. The Mechanism of Generation of Acoustic Streaming. Electron. Commun. Jpn. (Part III Fundam. Electron. Sci.) 1998, 81, 1–8. [Google Scholar] [CrossRef]
  33. Wiklund, M. Acoustofluidics 12: Biocompatibility and Cell Viability in Microfluidic Acoustic Resonators. Lab Chip 2012, 12, 2018–2028. [Google Scholar] [CrossRef] [PubMed]
  34. Xie, Y.; Mao, Z.; Bachman, H.; Li, P.; Zhang, P.; Ren, L.; Wu, M.; Huang, T.J. Acoustic Cell Separation Based on Density and Mechanical Properties. J. Biomech. Eng. 2020, 142, 031005. [Google Scholar] [CrossRef]
  35. Ma, Z.; Collins, D.J.; Guo, J.; Ai, Y. Mechanical Properties Based Particle Separation via Traveling Surface Acoustic Wave. Anal. Chem. 2016, 88, 11844–11851. [Google Scholar] [CrossRef] [PubMed]
  36. Olofsson, K.; Hammarström, B.; Wiklund, M. Acoustic Separation of Living and Dead Cells Using High Density Medium. Lab Chip 2020, 20, 1981–1990. [Google Scholar] [CrossRef] [PubMed]
  37. Ai, Y.; Sanders, C.K.; Marrone, B.L. Separation of Escherichia Coli Bacteria from Peripheral Blood Mononuclear Cells Using Standing Surface Acoustic Waves. Anal. Chem. 2013, 85, 9126–9134. [Google Scholar] [CrossRef] [PubMed]
  38. Wu, M.; Chen, C.; Wang, Z.; Bachman, H.; Ouyang, Y.; Huang, P.-H.; Sadovsky, Y.; Huang, T.J. Separating Extracellular Vesicles and Lipoproteins via Acoustofluidics. Lab Chip 2019, 19, 1174–1182. [Google Scholar] [CrossRef]
  39. Zhou, J.; Habibi, R.; Akbaridoust, F.; Neild, A.; Nosrati, R. Paper-Based Acoustofluidics for Separating Particles and Cells. Anal. Chem. 2020, 92, 8569–8578. [Google Scholar] [CrossRef]
  40. Li, S.; Ren, L.; Huang, P.-H.; Yao, X.; Cuento, R.A.; McCoy, J.P.; Cameron, C.E.; Levine, S.J.; Huang, T.J. Acoustofluidic Transfer of Inflammatory Cells from Human Sputum Samples. Anal. Chem. 2016, 88, 5655–5661. [Google Scholar] [CrossRef]
  41. Witek, M.A.; Freed, I.M.; Soper, S.A. Cell Separations and Sorting. Anal. Chem. 2020, 92, 105–131. [Google Scholar] [CrossRef]
  42. Lu, N.; Tay, H.M.; Petchakup, C.; He, L.; Gong, L.; Maw, K.K.; Leong, S.Y.; Lok, W.W.; Ong, H.B.; Guo, R.; et al. Label-Free Microfluidic Cell Sorting and Detection for Rapid Blood Analysis. Lab Chip 2023, 23, 1226–1257. [Google Scholar] [CrossRef]
  43. Talasaz, A.H.; Powell, A.A.; Huber, D.E.; Berbee, J.G.; Roh, K.-H.; Yu, W.; Xiao, W.; Davis, M.M.; Pease, R.F.; Mindrinos, M.N.; et al. Isolating Highly Enriched Populations of Circulating Epithelial Cells and Other Rare Cells from Blood Using a Magnetic Sweeper Device. Proc. Natl. Acad. Sci. USA 2009, 106, 3970–3975. [Google Scholar] [CrossRef] [PubMed]
  44. Mishra, A.; Dubash, T.D.; Edd, J.F.; Jewett, M.K.; Garre, S.G.; Karabacak, N.M.; Rabe, D.C.; Mutlu, B.R.; Walsh, J.R.; Kapur, R.; et al. Ultrahigh-Throughput Magnetic Sorting of Large Blood Volumes for Epitope-Agnostic Isolation of Circulating Tumor Cells. Proc. Natl. Acad. Sci. USA 2020, 117, 16839–16847. [Google Scholar] [CrossRef] [PubMed]
  45. Miltenyi, S.; Müller, W.; Weichel, W.; Radbruch, A. High Gradient Magnetic Cell Separation with MACS. Cytometry 1990, 11, 231–238. [Google Scholar] [CrossRef]
  46. Shields, C.W., 4th; Reyes, C.D.; López, G.P. Microfluidic Cell Sorting: A Review of the Advances in the Separation of Cells from Debulking to Rare Cell Isolation. Lab Chip 2015, 15, 1230–1249. [Google Scholar] [CrossRef] [PubMed]
  47. Philpott, D.N.; Chen, K.; Atwal, R.S.; Li, D.; Christie, J.; Sargent, E.H.; Kelley, S.O. Ultrathroughput Immunomagnetic Cell Sorting Platform. Lab Chip 2022, 22, 4822–4830. [Google Scholar] [CrossRef]
  48. Zhang, P.; Bachman, H.; Ozcelik, A.; Huang, T.J. Acoustic Microfluidics. Annu. Rev. Anal. Chem. 2020, 13, 17–43. [Google Scholar] [CrossRef]
  49. Lenshof, A.; Magnusson, C.; Laurell, T. Acoustofluidics 8: Applications of Acoustophoresis in Continuous Flow Microsystems. Lab Chip 2012, 12, 1210–1223. [Google Scholar] [CrossRef]
  50. Wang, S.; Zhou, Y.; Qin, X.; Nair, S.; Huang, X.; Liu, Y. Label-Free Detection of Rare Circulating Tumor Cells by Image Analysis and Machine Learning. Sci. Rep. 2020, 10, 12226. [Google Scholar] [CrossRef]
  51. Pretini, V.; Koenen, M.H.; Kaestner, L.; Fens, M.H.A.M.; Schiffelers, R.M.; Bartels, M.; Van Wijk, R. Red Blood Cells: Chasing Interactions. Front. Physiol. 2019, 10, 945. [Google Scholar] [CrossRef] [PubMed]
  52. Kabat, G.C.; Kim, M.Y.; Manson, J.E.; Lessin, L.; Lin, J.; Wassertheil-Smoller, S.; Rohan, T.E. White Blood Cell Count and Total and Cause-Specific Mortality in the Women’s Health Initiative. Am. J. Epidemiol. 2017, 186, 63–72. [Google Scholar] [CrossRef]
  53. Snyder, E.L.; Hezzey, A.; Katz, A.J.; Bock, J. Occurrence of the Release Reaction during Preparation and Storage of Platelet Concentrates. Vox Sang. 1981, 41, 172–177. [Google Scholar] [CrossRef] [PubMed]
  54. Espy, R.D.; Manicke, N.E.; Ouyang, Z.; Cooks, R.G. Rapid Analysis of Whole Blood by Paper Spray Mass Spectrometry for Point-of-Care Therapeutic Drug Monitoring. Analyst 2012, 137, 2344–2349. [Google Scholar] [CrossRef] [PubMed]
  55. Ohlsson, P.; Petersson, K.; Augustsson, P.; Laurell, T. Acoustic Impedance Matched Buffers Enable Separation of Bacteria from Blood Cells at High Cell Concentrations. Sci. Rep. 2018, 8, 9156. [Google Scholar] [CrossRef] [PubMed]
  56. Richard, C.; Fakhfouri, A.; Colditz, M.; Striggow, F.; Kronstein-Wiedemann, R.; Tonn, T.; Medina-Sánchez, M.; Schmidt, O.G.; Gemming, T.; Winkler, A. Blood Platelet Enrichment in Mass-Producible Surface Acoustic Wave (SAW) Driven Microfluidic Chips. Lab Chip 2019, 19, 4043–4051. [Google Scholar] [CrossRef] [PubMed]
  57. Wu, M.; Chen, K.; Yang, S.; Wang, Z.; Huang, P.-H.; Mai, J.; Li, Z.-Y.; Huang, T.J. High-Throughput Cell Focusing and Separation via Acoustofluidic Tweezers. Lab Chip 2018, 18, 3003–3010. [Google Scholar] [CrossRef] [PubMed]
  58. Nam, J.; Lim, H.; Kim, D.; Shin, S. Separation of Platelets from Whole Blood Using Standing Surface Acoustic Waves in a Microchannel. Lab Chip 2011, 11, 3361–3364. [Google Scholar] [CrossRef] [PubMed]
  59. Magnusson, C.; Augustsson, P.; Lenshof, A.; Ceder, Y.; Laurell, T.; Lilja, H. Clinical-Scale Cell-Surface-Marker Independent Acoustic Microfluidic Enrichment of Tumor Cells from Blood. Anal. Chem. 2017, 89, 11954–11961. [Google Scholar] [CrossRef]
  60. Wu, Z.; Jiang, H.; Zhang, L.; Yi, K.; Cui, H.; Wang, F.; Liu, W.; Zhao, X.; Zhou, F.; Guo, S. The Acoustofluidic Focusing and Separation of Rare Tumor Cells Using Transparent Lithium Niobate Transducers. Lab Chip 2019, 19, 3922–3930. [Google Scholar] [CrossRef]
  61. Chen, Y.; Wu, M.; Ren, L.; Liu, J.; Whitley, P.H.; Wang, L.; Huang, T.J. High-Throughput Acoustic Separation of Platelets from Whole Blood. Lab Chip 2016, 16, 3466–3472. [Google Scholar] [CrossRef] [PubMed]
  62. Gu, Y.; Chen, C.; Wang, Z.; Huang, P.-H.; Fu, H.; Wang, L.; Wu, M.; Chen, Y.; Gao, T.; Gong, J.; et al. Plastic-Based Acoustofluidic Devices for High-Throughput, Biocompatible Platelet Separation. Lab Chip 2019, 19, 394–402. [Google Scholar] [CrossRef] [PubMed]
  63. Li, P.; Mao, Z.; Peng, Z.; Zhou, L.; Chen, Y.; Huang, P.-H.; Truica, C.I.; Drabick, J.J.; El-Deiry, W.S.; Dao, M.; et al. Acoustic Separation of Circulating Tumor Cells. Proc. Natl. Acad. Sci. USA 2015, 112, 4970–4975. [Google Scholar] [CrossRef] [PubMed]
  64. Wu, M.; Huang, P.-H.; Zhang, R.; Mao, Z.; Chen, C.; Kemeny, G.; Li, P.; Lee, A.V.; Gyanchandani, R.; Armstrong, A.J.; et al. Circulating Tumor Cell Phenotyping via High-Throughput Acoustic Separation. Small 2020, 16, e2004438. [Google Scholar] [CrossRef] [PubMed]
  65. Liu, H.; Ao, Z.; Cai, B.; Shu, X.; Chen, K.; Rao, L.; Luo, C.; Wang, F.-B.; Liu, W.; Bondesson, M.; et al. Size-Amplified Acoustofluidic Separation of Circulating Tumor Cells with Removable Microbeads. Nano Futures 2018, 2, 025004. [Google Scholar] [CrossRef]
  66. Lin, D.; Shen, L.; Luo, M.; Zhang, K.; Li, J.; Yang, Q.; Zhu, F.; Zhou, D.; Zheng, S.; Chen, Y.; et al. Circulating Tumor Cells: Biology and Clinical Significance. Signal Transduct. Target. Ther. 2021, 6, 404. [Google Scholar] [CrossRef] [PubMed]
  67. Zhang, J.; Hartman, J.H.; Chen, C.; Yang, S.; Li, Q.; Tian, Z.; Huang, P.-H.; Wang, L.; Meyer, J.N.; Huang, T.J. Fluorescence-Based Sorting of Caenorhabditis Elegans via Acoustofluidics. Lab Chip 2020, 20, 1729–1739. [Google Scholar] [CrossRef] [PubMed]
  68. Nawaz, A.A.; Chen, Y.; Nama, N.; Nissly, R.H.; Ren, L.; Ozcelik, A.; Wang, L.; McCoy, J.P.; Levine, S.J.; Huang, T.J. Acoustofluidic Fluorescence Activated Cell Sorter. Anal. Chem. 2015, 87, 12051–12058. [Google Scholar] [CrossRef] [PubMed]
  69. Ozcelik, A.; Rich, J.; Huang, T.J. Fundamentals and Applications of Acoustics in Microfluidics. In Multidisciplinary Microfluidic and Nanofluidic Lab-on-a-Chip; Elsevier: Amsterdam, The Netherlands, 2022; pp. 297–321. [Google Scholar]
  70. Ren, L.; Chen, Y.; Li, P.; Mao, Z.; Huang, P.-H.; Rufo, J.; Guo, F.; Wang, L.; McCoy, J.P.; Levine, S.J.; et al. A High-Throughput Acoustic Cell Sorter. Lab Chip 2015, 15, 3870–3879. [Google Scholar] [CrossRef]
  71. Ren, L.; Yang, S.; Zhang, P.; Qu, Z.; Mao, Z.; Huang, P.-H.; Chen, Y.; Wu, M.; Wang, L.; Li, P.; et al. Standing Surface Acoustic Wave (SSAW)-Based Fluorescence-Activated Cell Sorter. Small 2018, 14, e1801996. [Google Scholar] [CrossRef]
  72. Wang, K.; Zhou, W.; Lin, Z.; Cai, F.; Li, F.; Wu, J.; Meng, L.; Niu, L.; Zheng, H. Sorting of Tumour Cells in a Microfluidic Device by Multi-Stage Surface Acoustic Waves. Sens. Actuators B Chem. 2018, 258, 1174–1183. [Google Scholar] [CrossRef]
  73. Mutafopulos, K.; Spink, P.; Lofstrom, C.D.; Lu, P.J.; Lu, H.; Sharpe, J.C.; Franke, T.; Weitz, D.A. Traveling Surface Acoustic Wave (TSAW) Microfluidic Fluorescence Activated Cell Sorter (ΜFACS). Lab Chip 2019, 19, 2435–2443. [Google Scholar] [CrossRef]
  74. Li, P.; Liang, M.; Lu, X.; Chow, J.J.M.; Ramachandra, C.J.A.; Ai, Y. Sheathless Acoustic Fluorescence Activated Cell Sorting (AFACS) with High Cell Viability. Anal. Chem. 2019, 91, 15425–15435. [Google Scholar] [CrossRef]
  75. Li, P.; Ai, Y. Label-Free Multivariate Biophysical Phenotyping-Activated Acoustic Sorting at the Single-Cell Level. Anal. Chem. 2021, 93, 4108–4117. [Google Scholar] [CrossRef]
  76. Zhou, Y.; Ma, Z.; Ai, Y. Hybrid Microfluidic Sorting of Rare Cells Based on High Throughput Inertial Focusing and High Accuracy Acoustic Manipulation. RSC Adv. 2019, 9, 31186–31195. [Google Scholar] [CrossRef]
  77. Collins, D.J.; Neild, A.; Ai, Y. Highly Focused High-Frequency Travelling Surface Acoustic Waves (SAW) for Rapid Single-Particle Sorting. Lab Chip 2016, 16, 471–479. [Google Scholar] [CrossRef]
  78. Ma, Z.; Zhou, Y.; Collins, D.J.; Ai, Y. Fluorescence Activated Cell Sorting via a Focused Traveling Surface Acoustic Beam. Lab Chip 2017, 17, 3176–3185. [Google Scholar] [CrossRef] [PubMed]
  79. Nawaz, A.A.; Soteriou, D.; Xu, C.K.; Goswami, R.; Herbig, M.; Guck, J.; Girardo, S. Image-Based Cell Sorting Using Focused Travelling Surface Acoustic Waves. Lab Chip 2023, 23, 372–387. [Google Scholar] [CrossRef] [PubMed]
  80. Fan, Y.; Wang, X.; Ren, J.; Lin, F.; Wu, J. Recent Advances in Acoustofluidic Separation Technology in Biology. Microsyst. Nanoeng. 2022, 8, 94. [Google Scholar] [CrossRef]
  81. Xie, Y.; Bachman, H.; Huang, T.J. Acoustofluidic Methods in Cell Analysis. TrAC Trends Anal. Chem. 2019, 117, 280–290. [Google Scholar] [CrossRef]
  82. Wu, Z.; Pan, M.; Wang, J.; Wen, B.; Lu, L.; Ren, H. Acoustofluidics for Cell Patterning and Tissue Engineering. Eng. Regen. 2022, 3, 397–406. [Google Scholar] [CrossRef]
  83. Chen, B.; Wu, Z.; Wu, Y.; Chen, Y.; Zheng, L. Controllable Fusion of Multicellular Spheroids Using Acoustofluidics. Microfluid. Nanofluidics 2023, 27, 50. [Google Scholar] [CrossRef]
  84. Pan, H.; Mei, D.; Xu, C.; Han, S.; Wang, Y. Bisymmetric Coherent Acoustic Tweezers Based on Modulation of Surface Acoustic Waves for Dynamic and Reconfigurable Cluster Manipulation of Particles and Cells. Lab Chip 2023, 23, 215–228. [Google Scholar] [CrossRef] [PubMed]
  85. Pan, H.; Mei, D.; Xu, C.; Li, X.; Wang, Y. Acoustic Tweezers Using Bisymmetric Coherent Surface Acoustic Waves for Dynamic and Reconfigurable Manipulation of Particle Multimers. J. Colloid Interface Sci. 2023, 643, 115–123. [Google Scholar] [CrossRef] [PubMed]
  86. Rasouli, R.; Villegas, K.M.; Tabrizian, M. Acoustofluidics—Changing Paradigm in Tissue Engineering, Therapeutics Development, and Biosensing. Lab Chip 2023, 23, 1300–1338. [Google Scholar] [CrossRef] [PubMed]
  87. Deshmukh, D.V.; Reichert, P.; Zvick, J.; Labouesse, C.; Künzli, V.; Dudaryeva, O.; Bar-Nur, O.; Tibbitt, M.W.; Dual, J. Continuous Production of Acoustically Patterned Cells within Hydrogel Fibers for Musculoskeletal Tissue Engineering. Adv. Funct. Mater. 2022, 32, 2113038. [Google Scholar] [CrossRef]
  88. Lata, J.P.; Guo, F.; Guo, J.; Huang, P.-H.; Yang, J.; Huang, T.J. Surface Acoustic Waves Grant Superior Spatial Control of Cells Embedded in Hydrogel Fibers. Adv. Mater. 2016, 28, 8632–8638. [Google Scholar] [CrossRef] [PubMed]
  89. Guo, F.; Li, P.; French, J.B.; Mao, Z.; Zhao, H.; Li, S.; Nama, N.; Fick, J.R.; Benkovic, S.J.; Huang, T.J. Controlling Cell-Cell Interactions Using Surface Acoustic Waves. Proc. Natl. Acad. Sci. USA 2015, 112, 43–48. [Google Scholar] [CrossRef] [PubMed]
  90. Shi, J.; Ahmed, D.; Mao, X.; Lin, S.-C.S.; Lawit, A.; Huang, T.J. Acoustic Tweezers: Patterning Cells and Microparticles Using Standing Surface Acoustic Waves (SSAW). Lab Chip 2009, 9, 2890–2895. [Google Scholar] [CrossRef]
  91. Li, S.; Guo, F.; Chen, Y.; Ding, X.; Li, P.; Wang, L.; Cameron, C.E.; Huang, T.J. Standing Surface Acoustic Wave Based Cell Coculture. Anal. Chem. 2014, 86, 9853–9859. [Google Scholar] [CrossRef]
  92. Armstrong, J.P.K.; Maynard, S.A.; Pence, I.J.; Franklin, A.C.; Drinkwater, B.W.; Stevens, M.M. Spatiotemporal Quantification of Acoustic Cell Patterning Using Voronoï Tessellation. Lab Chip 2019, 19, 562–573. [Google Scholar] [CrossRef] [PubMed]
  93. Ao, Z.; Wu, Z.; Cai, H.; Hu, L.; Li, X.; Kaurich, C.; Chang, J.; Gu, M.; Cheng, L.; Lu, X.; et al. Rapid Profiling of Tumor-Immune Interaction Using Acoustically Assembled Patient-Derived Cell Clusters. Adv. Sci. 2022, 9, e2201478. [Google Scholar] [CrossRef]
  94. Cai, H.; Ao, Z.; Hu, L.; Moon, Y.; Wu, Z.; Lu, H.-C.; Kim, J.; Guo, F. Acoustofluidic Assembly of 3D Neurospheroids to Model Alzheimer’s Disease. Analyst 2020, 145, 6243–6253. [Google Scholar] [CrossRef]
  95. Hu, X.; Zhao, S.; Luo, Z.; Zuo, Y.; Wang, F.; Zhu, J.; Chen, L.; Yang, D.; Zheng, Y.; Zheng, Y.; et al. On-Chip Hydrogel Arrays Individually Encapsulating Acoustic Formed Multicellular Aggregates for High Throughput Drug Testing. Lab Chip 2020, 20, 2228–2236. [Google Scholar] [CrossRef]
  96. Chen, B.; Wu, Y.; Ao, Z.; Cai, H.; Nunez, A.; Liu, Y.; Foley, J.; Nephew, K.; Lu, X.; Guo, F. High-Throughput Acoustofluidic Fabrication of Tumor Spheroids. Lab Chip 2019, 19, 1755–1763. [Google Scholar] [CrossRef]
  97. Wu, Y.; Ao, Z.; Chen, B.; Muhsen, M.; Bondesson, M.; Lu, X.; Guo, F. Acoustic Assembly of Cell Spheroids in Disposable Capillaries. Nanotechnology 2018, 29, 504006. [Google Scholar] [CrossRef] [PubMed]
  98. Wu, Z.; Chen, B.; Wu, Y.; Xia, Y.; Chen, H.; Gong, Z.; Hu, H.; Ding, Z.; Guo, S. Scaffold-Free Generation of Heterotypic Cell Spheroids Using Acoustofluidics. Lab Chip 2021, 21, 3498–3508. [Google Scholar] [CrossRef]
  99. Velasco, V.; Shariati, S.A.; Esfandyarpour, R. Microtechnology-Based Methods for Organoid Models. Microsyst. Nanoeng. 2020, 6, 76. [Google Scholar] [CrossRef] [PubMed]
  100. Liu, D.; Chen, S.; Win Naing, M. A Review of Manufacturing Capabilities of Cell Spheroid Generation Technologies and Future Development. Biotechnol. Bioeng. 2021, 118, 542–554. [Google Scholar] [CrossRef]
  101. Wang, Y.; Liu, M.; Zhang, Y.; Liu, H.; Han, L. Recent Methods of Droplet Microfluidics and Their Applications in Spheroids and Organoids. Lab Chip 2023, 23, 1080–1096. [Google Scholar] [CrossRef]
  102. Shen, H.; Cai, S.; Wu, C.; Yang, W.; Yu, H.; Liu, L. Recent Advances in Three-Dimensional Multicellular Spheroid Culture and Future Development. Micromachines 2021, 12, 96. [Google Scholar] [CrossRef] [PubMed]
  103. Kim, S.-J.; Kim, E.M.; Yamamoto, M.; Park, H.; Shin, H. Engineering Multi-Cellular Spheroids for Tissue Engineering and Regenerative Medicine. Adv. Healthc. Mater. 2020, 9, e2000608. [Google Scholar] [CrossRef] [PubMed]
  104. Wu, Y.; Zhou, Y.; Qin, X.; Liu, Y. From Cell Spheroids to Vascularized Cancer Organoids: Microfluidic Tumor-on-a-Chip Models for Preclinical Drug Evaluations. Biomicrofluidics 2021, 15, 061503. [Google Scholar] [CrossRef] [PubMed]
  105. Luo, Y.; Gao, H.; Zhou, M.; Xiao, L.; Xu, T.; Zhang, X. Integrated Acoustic Chip for Culturing 3D Cell Arrays. ACS Sens. 2022, 7, 2654–2660. [Google Scholar] [CrossRef] [PubMed]
  106. Miao, T.; Chen, K.; Wei, X.; Huang, B.; Qian, Y.; Wang, L.; Xu, M. High-Throughput Fabrication of Cell Spheroids with 3D Acoustic Assembly Devices. Int. J. Bioprinting 2023, 9, 733. [Google Scholar] [CrossRef] [PubMed]
  107. Petta, D.; Basoli, V.; Pellicciotta, D.; Tognato, R.; Barcik, J.; Arrigoni, C.; Bella, E.D.; Armiento, A.R.; Candrian, C.; Richards, R.G.; et al. Sound-Induced Morphogenesis of Multicellular Systems for Rapid Orchestration of Vascular Networks. Biofabrication 2020, 13, 015004. [Google Scholar] [CrossRef]
  108. Hu, X.; Zhu, J.; Zuo, Y.; Yang, D.; Zhang, J.; Cheng, Y.; Yang, Y. Versatile Biomimetic Array Assembly by Phase Modulation of Coherent Acoustic Waves. Lab Chip 2020, 20, 3515–3523. [Google Scholar] [CrossRef]
  109. Wu, Y.; Zhao, Y.; Islam, K.; Zhou, Y.; Omidi, S.; Berdichevsky, Y.; Liu, Y. Acoustofluidic Engineering of Functional Vessel-on-a-Chip. ACS Biomater. Sci. Eng. 2023, 9, 6273–6281. [Google Scholar] [CrossRef] [PubMed]
  110. Kang, B.; Shin, J.; Park, H.-J.; Rhyou, C.; Kang, D.; Lee, S.-J.; Yoon, Y.-S.; Cho, S.-W.; Lee, H. High-Resolution Acoustophoretic 3D Cell Patterning to Construct Functional Collateral Cylindroids for Ischemia Therapy. Nat. Commun. 2018, 9, 5402. [Google Scholar] [CrossRef]
  111. Armstrong, J.P.K.; Pchelintseva, E.; Treumuth, S.; Campanella, C.; Meinert, C.; Klein, T.J.; Hutmacher, D.W.; Drinkwater, B.W.; Stevens, M.M. Tissue Engineering Cartilage with Deep Zone Cytoarchitecture by High-Resolution Acoustic Cell Patterning. Adv. Healthc. Mater. 2022, 11, e2200481. [Google Scholar] [CrossRef]
  112. Ren, T.; Chen, P.; Gu, L.; Ogut, M.G.; Demirci, U. Soft Ring-Shaped Cellu-Robots with Simultaneous Locomotion in Batches. Adv. Mater. 2020, 32, e1905713. [Google Scholar] [CrossRef] [PubMed]
  113. Hu, X.; Zheng, J.; Hu, Q.; Liang, L.; Yang, D.; Cheng, Y.; Li, S.-S.; Chen, L.-J.; Yang, Y. Smart Acoustic 3D Cell Construct Assembly with High-Resolution. Biofabrication 2022, 14, 045003. [Google Scholar] [CrossRef] [PubMed]
  114. Wang, J.; Soto, F.; Ma, P.; Ahmed, R.; Yang, H.; Chen, S.; Wang, J.; Liu, C.; Akin, D.; Fu, K.; et al. Acoustic Fabrication of Living Cardiomyocyte-Based Hybrid Biorobots. ACS Nano 2022, 16, 10219–10230. [Google Scholar] [CrossRef] [PubMed]
  115. Melde, K.; Mark, A.G.; Qiu, T.; Fischer, P. Holograms for Acoustics. Nature 2016, 537, 518–522. [Google Scholar] [CrossRef] [PubMed]
  116. Gu, Y.; Chen, C.; Rufo, J.; Shen, C.; Wang, Z.; Huang, P.-H.; Fu, H.; Zhang, P.; Cummer, S.A.; Tian, Z.; et al. Acoustofluidic Holography for Micro- to Nanoscale Particle Manipulation. ACS Nano 2020, 14, 14635–14645. [Google Scholar] [CrossRef] [PubMed]
  117. Hirayama, R.; Martinez Plasencia, D.; Masuda, N.; Subramanian, S. A Volumetric Display for Visual, Tactile and Audio Presentation Using Acoustic Trapping. Nature 2019, 575, 320–323. [Google Scholar] [CrossRef]
  118. Ma, Z.; Holle, A.W.; Melde, K.; Qiu, T.; Poeppel, K.; Kadiri, V.M.; Fischer, P. Acoustic Holographic Cell Patterning in a Biocompatible Hydrogel. Adv. Mater. 2020, 32, e1904181. [Google Scholar] [CrossRef]
  119. Melde, K.; Kremer, H.; Shi, M.; Seneca, S.; Frey, C.; Platzman, I.; Degel, C.; Schmitt, D.; Schölkopf, B.; Fischer, P. Compact Holographic Sound Fields Enable Rapid One-Step Assembly of Matter in 3D. Sci. Adv. 2023, 9, eadf6182. [Google Scholar] [CrossRef] [PubMed]
  120. Xu, M.; Wang, J.; Harley, W.S.; Lee, P.V.S.; Collins, D.J. Programmable Acoustic Holography Using Medium-Sound-Speed Modulation. Adv. Sci. 2023, 10, e2301489. [Google Scholar] [CrossRef]
  121. Ghanem, M.A.; Maxwell, A.D.; Dalecki, D.; Sapozhnikov, O.A.; Bailey, M.R. Phase Holograms for the Three-Dimensional Patterning of Unconstrained Microparticles. Sci. Rep. 2023, 13, 9160. [Google Scholar] [CrossRef]
  122. Yunus, D.E.; Sohrabi, S.; He, R.; Shi, W.; Liu, Y. Acoustic Patterning for 3D Embedded Electrically Conductive Wire in Stereolithography. J. Micromech. Microeng. 2017, 27, 045016. [Google Scholar] [CrossRef] [PubMed]
  123. Lei, J.; Cheng, F.; Liu, G.; Li, K.; Guo, Z. Dexterous Formation of Unconventional Chladni Patterns Using Standing Bulk Acoustic Waves. Appl. Phys. Lett. 2020, 117, 184101. [Google Scholar] [CrossRef]
  124. Ma, Z.; Melde, K.; Athanassiadis, A.G.; Schau, M.; Richter, H.; Qiu, T.; Fischer, P. Spatial Ultrasound Modulation by Digitally Controlling Microbubble Arrays. Nat. Commun. 2020, 11, 4537. [Google Scholar] [CrossRef] [PubMed]
  125. Marzo, A.; Drinkwater, B.W. Holographic Acoustic Tweezers. Proc. Natl. Acad. Sci. USA 2019, 116, 84–89. [Google Scholar] [CrossRef] [PubMed]
  126. Xu, M.; Vidler, C.; Wang, J.; Chen, X.; Pan, Z.; Harley, W.S.; Lee, P.V.S.; Collins, D.J. Micro-acoustic Holograms for Detachable Microfluidic Devices. Small 2024, 2307529. [Google Scholar] [CrossRef] [PubMed]
  127. Cui, M.; Dutcher, S.K.; Bayly, P.V.; Meacham, J.M. Robust Acoustic Trapping and Perturbation of Single-Cell Microswimmers Illuminate Three-Dimensional Swimming and Ciliary Coordination. Proc. Natl. Acad. Sci. USA 2023, 120, e2218951120. [Google Scholar] [CrossRef] [PubMed]
  128. Wiklund, M.; Brismar, H.; Onfelt, B. Acoustofluidics 18: Microscopy for Acoustofluidic Micro-Devices. Lab Chip 2012, 12, 3221–3234. [Google Scholar] [CrossRef] [PubMed]
  129. Collins, D.J.; Morahan, B.; Garcia-Bustos, J.; Doerig, C.; Plebanski, M.; Neild, A. Two-Dimensional Single-Cell Patterning with One Cell per Well Driven by Surface Acoustic Waves. Nat. Commun. 2015, 6, 8686. [Google Scholar] [CrossRef] [PubMed]
  130. Yang, S.; Rufo, J.; Zhong, R.; Rich, J.; Wang, Z.; Lee, L.P.; Huang, T.J. Acoustic Tweezers for High-Throughput Single-Cell Analysis. Nat. Protoc. 2023, 18, 2441–2458. [Google Scholar] [CrossRef]
  131. Yang, S.; Tian, Z.; Wang, Z.; Rufo, J.; Li, P.; Mai, J.; Xia, J.; Bachman, H.; Huang, P.-H.; Wu, M.; et al. Harmonic Acoustics for Dynamic and Selective Particle Manipulation. Nat. Mater. 2022, 21, 540–546. [Google Scholar] [CrossRef]
  132. Agnihotri, S.N.; Ugolini, G.S.; Sullivan, M.R.; Yang, Y.; De Ganzó, A.; Lim, J.W.; Konry, T. Droplet Microfluidics for Functional Temporal Analysis and Cell Recovery on Demand Using Microvalves: Application in Immunotherapies for Cancer. Lab Chip 2022, 22, 3258–3267. [Google Scholar] [CrossRef]
  133. Zhang, W.; Song, B.; Bai, X.; Jia, L.; Song, L.; Guo, J.; Feng, L. Versatile Acoustic Manipulation of Micro-Objects Using Mode-Switchable Oscillating Bubbles: Transportation, Trapping, Rotation, and Revolution. Lab Chip 2021, 21, 4760–4771. [Google Scholar] [CrossRef] [PubMed]
  134. Zhang, J.; Yang, S.; Chen, C.; Hartman, J.H.; Huang, P.-H.; Wang, L.; Tian, Z.; Zhang, P.; Faulkenberry, D.; Meyer, J.N.; et al. Surface Acoustic Waves Enable Rotational Manipulation of Caenorhabditis Elegans. Lab Chip 2019, 19, 984–992. [Google Scholar] [CrossRef] [PubMed]
  135. Briggs, J.P. The Zebrafish: A New Model Organism for Integrative Physiology. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2002, 282, R3–R9. [Google Scholar] [CrossRef] [PubMed]
  136. Chen, C.; Gu, Y.; Philippe, J.; Zhang, P.; Bachman, H.; Zhang, J.; Mai, J.; Rufo, J.; Rawls, J.F.; Davis, E.E.; et al. Acoustofluidic Rotational Tweezing Enables High-Speed Contactless Morphological Phenotyping of Zebrafish Larvae. Nat. Commun. 2021, 12, 1118. [Google Scholar] [CrossRef] [PubMed]
  137. Cai, H.; Ao, Z.; Wu, Z.; Nunez, A.; Jiang, L.; Carpenter, R.L.; Nephew, K.P.; Guo, F. Profiling Cell-Matrix Adhesion Using Digitalized Acoustic Streaming. Anal. Chem. 2020, 92, 2283–2290. [Google Scholar] [CrossRef] [PubMed]
  138. Greco, G.; Agostini, M.; Tonazzini, I.; Sallemi, D.; Barone, S.; Cecchini, M. Surface-Acoustic-Wave (SAW)-Driven Device for Dynamic Cell Cultures. Anal. Chem. 2018, 90, 7450–7457. [Google Scholar] [CrossRef]
  139. Devendran, C.; Carthew, J.; Frith, J.E.; Neild, A. Cell Adhesion, Morphology, and Metabolism Variation via Acoustic Exposure within Microfluidic Cell Handling Systems. Adv. Sci. 2019, 6, 1902326. [Google Scholar] [CrossRef] [PubMed]
  140. Kim, S.; Nam, H.; Cha, B.; Park, J.; Sung, H.J.; Jeon, J.S. Acoustofluidic Stimulation of Functional Immune Cells in a Microreactor. Adv. Sci. 2022, 9, 2105809. [Google Scholar] [CrossRef]
  141. Bhadra, J.; Sridhar, N.; Fajrial, A.K.; Hammond, N.; Xue, D.; Ding, X. Acoustic Streaming Enabled Moderate Swimming Exercise Reduces Neurodegeneration in C. elegans. Sci. Adv. 2023, 9, eadf5056. [Google Scholar] [CrossRef]
  142. Sridhar, N.; Fajrial, A.K.; Doser, R.L.; Hoerndli, F.J.; Ding, X. Surface Acoustic Wave Microfluidics for Repetitive and Reversible Temporary Immobilization of C. elegans. Lab Chip 2022, 22, 4882–4893. [Google Scholar] [CrossRef]
  143. Gai, J.; Nosrati, R.; Neild, A. High DNA Integrity Sperm Selection Using Surface Acoustic Waves. Lab Chip 2020, 20, 4262–4272. [Google Scholar] [CrossRef] [PubMed]
  144. Gai, J.; Devendran, C.; Neild, A.; Nosrati, R. Surface Acoustic Wave-Driven Pumpless Flow for Sperm Rheotaxis Analysis. Lab Chip 2022, 22, 4409–4417. [Google Scholar] [CrossRef]
  145. Gai, J.; Dervisevic, E.; Devendran, C.; Cadarso, V.J.; O’Bryan, M.K.; Nosrati, R.; Neild, A. High-Frequency Ultrasound Boosts Bull and Human Sperm Motility. Adv. Sci. 2022, 9, e2104362. [Google Scholar] [CrossRef] [PubMed]
  146. Farooq, U.; Liu, Y.; Li, P.; Deng, Z.; Liu, X.; Zhou, W.; Yi, S.; Rong, N.; Meng, L.; Niu, L.; et al. Acoustofluidic Dynamic Interfacial Tensiometry. J. Acoust. Soc. Am. 2021, 150, 3608–3617. [Google Scholar] [CrossRef]
  147. Wu, Z.; Cai, H.; Ao, Z.; Nunez, A.; Liu, H.; Bondesson, M.; Guo, S.; Guo, F. A Digital Acoustofluidic Pump Powered by Localized Fluid-Substrate Interactions. Anal. Chem. 2019, 91, 7097–7103. [Google Scholar] [CrossRef]
  148. Ning, J.; Lei, Y.; Hu, H.; Gai, C. A Comprehensive Review of Surface Acoustic Wave-Enabled Acoustic Droplet Ejection Technology and Its Applications. Micromachines 2023, 14, 1543. [Google Scholar] [CrossRef]
  149. Darmawan, M.; Byun, D. Focused Surface Acoustic Wave Induced Jet Formation on Superhydrophobic Surfaces. Microfluid. Nanofluidics 2015, 18, 1107–1114. [Google Scholar] [CrossRef]
  150. Sankaranarayanan, S.K.R.S.; Bhethanabotla, V.R. Design of Efficient Focused Surface Acoustic Wave Devices for Potential Microfluidic Applications. J. Appl. Phys. 2008, 103, 064518. [Google Scholar] [CrossRef]
  151. Tan, M.K.; Friend, J.R.; Yeo, L.Y. Interfacial Jetting Phenomena Induced by Focused Surface Vibrations. Phys. Rev. Lett. 2009, 103, 024501. [Google Scholar] [CrossRef]
  152. Castro, J.O.; Ramesan, S.; Rezk, A.R.; Yeo, L.Y. Continuous Tuneable Droplet Ejection via Pulsed Surface Acoustic Wave Jetting. Soft Matter 2018, 14, 5721–5727. [Google Scholar] [CrossRef] [PubMed]
  153. Chen, K.; Sui, C.; Wu, Y.; Ao, Z.; Guo, S.-S.; Guo, F. A Digital Acoustofluidic Device for On-Demand and Oil-Free Droplet Generation. Nanotechnology 2019, 30, 084001. [Google Scholar] [CrossRef] [PubMed]
  154. Chen, H.; Wu, Z.; Gong, Z.; Xia, Y.; Li, J.; Du, L.; Zhang, Y.; Gao, X.; Fan, Z.; Hu, H.; et al. Acoustic Bioprinting of Patient-Derived Organoids for Predicting Cancer Therapy Responses. Adv. Healthc. Mater. 2022, 11, e2102784. [Google Scholar] [CrossRef] [PubMed]
  155. Chen, H.; Du, L.; Li, J.; Wu, Z.; Gong, Z.; Xia, Y.; Fan, Z.; Qian, Q.; Ding, Z.; Hu, H.; et al. Modeling Cancer Metastasis Using Acoustically Bio-Printed Patient-Derived 3D Tumor Microtissues. J. Mater. Chem. B Mater. Biol. Med. 2022, 10, 1843–1852. [Google Scholar] [CrossRef] [PubMed]
  156. Xia, Y.; Chen, H.; Li, J.; Hu, H.; Qian, Q.; He, R.-X.; Ding, Z.; Guo, S.-S. Acoustic Droplet-Assisted Superhydrophilic-Superhydrophobic Microarray Platform for High-Throughput Screening of Patient-Derived Tumor Spheroids. ACS Appl. Mater. Interfaces 2021, 13, 23489–23501. [Google Scholar] [CrossRef] [PubMed]
  157. Xia, Y.; Huang, L.-X.; Chen, H.; Li, J.; Chen, K.-K.; Hu, H.; Wang, F.-B.; Ding, Z.; Guo, S.-S. Acoustic Droplet Vitrification Method for High-Efficiency Preservation of Rare Cells. ACS Appl. Mater. Interfaces 2021, 13, 12950–12959. [Google Scholar] [CrossRef] [PubMed]
  158. Wei, X.; Chen, K.; Cai, B.; Rao, L.; Wang, Z.; Sun, Y.; Yu, M.; Liu, W.; Guo, S.; Zhao, X.-Z. An Acoustic Droplet-Induced Enzyme Responsive Platform for the Capture and on-Demand Release of Single Circulating Tumor Cells. ACS Appl. Mater. Interfaces 2019, 11, 41118–41126. [Google Scholar] [CrossRef] [PubMed]
  159. Xia, Y.; Li, J.; Huang, L.-X.; Hua, B.; Guo, S.-S. In Situ Microreaction Platform Based on Acoustic Droplet Manipulation for Ultra-High-Precision Multiplex Bioassay. Anal. Chem. 2022, 94, 6347–6354. [Google Scholar] [CrossRef] [PubMed]
  160. Chen, K.; Jiang, E.; Wei, X.; Xia, Y.; Wu, Z.; Gong, Z.; Shang, Z.; Guo, S. The Acoustic Droplet Printing of Functional Tumor Microenvironments. Lab Chip 2021, 21, 1604–1612. [Google Scholar] [CrossRef]
  161. Gong, Z.; Huang, L.; Tang, X.; Chen, K.; Wu, Z.; Zhang, L.; Sun, Y.; Xia, Y.; Chen, H.; Wei, Y.; et al. Acoustic Droplet Printing Tumor Organoids for Modeling Bladder Tumor Immune Microenvironment within a Week. Adv. Healthc. Mater. 2021, 10, e2101312. [Google Scholar] [CrossRef]
  162. Morshedi Rad, D.; Alsadat Rad, M.; Razavi Bazaz, S.; Kashaninejad, N.; Jin, D.; Ebrahimi Warkiani, M. A Comprehensive Review on Intracellular Delivery. Adv. Mater. 2021, 33, e2005363. [Google Scholar] [CrossRef] [PubMed]
  163. Choi, S.-E.; Khoo, H.; Hur, S.C. Recent Advances in Microscale Electroporation. Chem. Rev. 2022, 122, 11247–11286. [Google Scholar] [CrossRef] [PubMed]
  164. Stewart, M.P.; Langer, R.; Jensen, K.F. Intracellular Delivery by Membrane Disruption: Mechanisms, Strategies, and Concepts. Chem. Rev. 2018, 118, 7409–7531. [Google Scholar] [CrossRef] [PubMed]
  165. Ding, X.; Stewart, M.; Sharei, A.; Weaver, J.C.; Langer, R.S.; Jensen, K.F. High-Throughput Nuclear Delivery and Rapid Expression of DNA via Mechanical and Electrical Cell-Membrane Disruption. Nat. Biomed. Eng. 2017, 1, 0039. [Google Scholar] [CrossRef] [PubMed]
  166. Ramesan, S.; Rezk, A.R.; Dekiwadia, C.; Cortez-Jugo, C.; Yeo, L.Y. Acoustically-Mediated Intracellular Delivery. Nanoscale 2018, 10, 13165–13178. [Google Scholar] [CrossRef] [PubMed]
  167. Ramesan, S.; Rezk, A.R.; Yeo, L.Y. High Frequency Acoustic Permeabilisation of Drugs through Tissue for Localised Mucosal Delivery. Lab Chip 2018, 18, 3272–3284. [Google Scholar] [CrossRef] [PubMed]
  168. Zhang, Z.; Wang, Y.; Zhang, H.; Tang, Z.; Liu, W.; Lu, Y.; Wang, Z.; Yang, H.; Pang, W.; Zhang, H.; et al. Hypersonic Poration: A New Versatile Cell Poration Method to Enhance Cellular Uptake Using a Piezoelectric Nano-Electromechanical Device. Small 2017, 13, 1602962. [Google Scholar] [CrossRef] [PubMed]
  169. Ambattu, L.A.; Yeo, L.Y. Sonomechanobiology: Vibrational Stimulation of Cells and Its Therapeutic Implications. Biophys. Rev. 2023, 4, 021301. [Google Scholar] [CrossRef] [PubMed]
  170. Rich, J.; Tian, Z.; Huang, T.J. Sonoporation: Past, Present, and Future. Adv. Mater. Technol. 2022, 7, 2100885. [Google Scholar] [CrossRef]
  171. Wu, P.; Bai, L.; Lin, W. On the Definition of Cavitation Intensity. Ultrason. Sonochem. 2020, 67, 105141. [Google Scholar] [CrossRef]
  172. Meng, L.; Liu, X.; Wang, Y.; Zhang, W.; Zhou, W.; Cai, F.; Li, F.; Wu, J.; Xu, L.; Niu, L.; et al. Sonoporation of Cells by a Parallel Stable Cavitation Microbubble Array. Adv. Sci. 2019, 6, 1900557. [Google Scholar] [CrossRef] [PubMed]
  173. Helfield, B.; Chen, X.; Watkins, S.C.; Villanueva, F.S. Biophysical Insight into Mechanisms of Sonoporation. Proc. Natl. Acad. Sci. USA 2016, 113, 9983–9988. [Google Scholar] [CrossRef]
  174. Salari, A.; Appak-Baskoy, S.; Coe, I.R.; Abousawan, J.; Antonescu, C.N.; Tsai, S.S.H.; Kolios, M.C. Dosage-Controlled Intracellular Delivery Mediated by Acoustofluidics for Lab on a Chip Applications. Lab Chip 2021, 21, 1788–1797. [Google Scholar] [CrossRef]
  175. Ramesan, S.; Rezk, A.R.; Cevaal, P.M.; Cortez-Jugo, C.; Symons, J.; Yeo, L.Y. Acoustofection: High-Frequency Vibrational Membrane Permeabilization for Intracellular SiRNA Delivery into Nonadherent Cells. ACS Appl. Bio Mater. 2021, 4, 2781–2789. [Google Scholar] [CrossRef] [PubMed]
  176. Guo, X.; Sun, M.; Yang, Y.; Xu, H.; Liu, J.; He, S.; Wang, Y.; Xu, L.; Pang, W.; Duan, X. Controllable Cell Deformation Using Acoustic Streaming for Membrane Permeability Modulation. Adv. Sci. 2021, 8, 2002489. [Google Scholar] [CrossRef] [PubMed]
  177. Belling, J.N.; Heidenreich, L.K.; Tian, Z.; Mendoza, A.M.; Chiou, T.-T.; Gong, Y.; Chen, N.Y.; Young, T.D.; Wattanatorn, N.; Park, J.H.; et al. Acoustofluidic Sonoporation for Gene Delivery to Human Hematopoietic Stem and Progenitor Cells. Proc. Natl. Acad. Sci. USA 2020, 117, 10976–10982. [Google Scholar] [CrossRef] [PubMed]
  178. Li, S.; Xu, J.; Li, R.; Wang, Y.; Zhang, M.; Li, J.; Yin, S.; Liu, G.; Zhang, L.; Li, B.; et al. Stretchable Electronic Facial Masks for Sonophoresis. ACS Nano 2022, 16, 5961–5974. [Google Scholar] [CrossRef] [PubMed]
  179. Xu, J.; Cai, H.; Wu, Z.; Li, X.; Tian, C.; Ao, Z.; Niu, V.C.; Xiao, X.; Jiang, L.; Khodoun, M.; et al. Acoustic Metamaterials-Driven Transdermal Drug Delivery for Rapid and on-Demand Management of Acute Disease. Nat. Commun. 2023, 14, 869. [Google Scholar] [CrossRef] [PubMed]
  180. Ozcelik, A.; Rufo, J.; Guo, F.; Gu, Y.; Li, P.; Lata, J.; Huang, T.J. Acoustic Tweezers for the Life Sciences. Nat. Methods 2018, 15, 1021–1028. [Google Scholar] [CrossRef]
  181. Rufo, J.; Zhang, P.; Zhong, R.; Lee, L.P.; Huang, T.J. A Sound Approach to Advancing Healthcare Systems: The Future of Biomedical Acoustics. Nat. Commun. 2022, 13, 3459. [Google Scholar] [CrossRef]
  182. Kang, S.; Wu, X.; Qi, H.; Yang, K.; Feng, R.; Guo, W.; Sun, C.; Duan, X.; Wang, Y. Effect of Hydrogel Matrix and Fluid Shear Stress on the Behavioral Regulation of Mesenchymal Stem Cells. Small Struct. 2024, 2300432. [Google Scholar] [CrossRef]
  183. Durrer, J.; Agrawal, P.; Ozgul, A.; Neuhauss, S.C.F.; Nama, N.; Ahmed, D. A Robot-Assisted Acoustofluidic End Effector. Nat. Commun. 2022, 13, 6370. [Google Scholar] [CrossRef]
  184. Zhang, Z.; Shi, Z.; Ahmed, D. SonoTransformers: Transformable Acoustically Activated Wireless Microscale Machines. Proc. Natl. Acad. Sci. USA 2024, 121, e2314661121. [Google Scholar] [CrossRef] [PubMed]
  185. Richard, C.; Vargas-Ordaz, E.J.; Zhang, Y.; Li, J.; Cadarso, V.J.; Neild, A. Acousto-Optofluidic 3D Single Cell Imaging of Macrophage Phagocytosis of Pseudomonas aeruginosa. Lab Chip 2024, 24, 480–491. [Google Scholar] [CrossRef] [PubMed]
  186. Harley, W.S.; Kolesnik, K.; Xu, M.; Heath, D.E.; Collins, D.J. 3D Acoustofluidics via Sub-wavelength Micro-resonators. Adv. Funct. Mater. 2023, 33, 2211422. [Google Scholar] [CrossRef]
  187. Maramizonouz, S.; Tao, X.; Rahmati, M.; Jia, C.; Tao, R.; Torun, H.; Zheng, T.; Jin, H.; Dong, S.; Luo, J.; et al. Flexible and Bendable Acoustofluidics for Particle and Cell Patterning. Int. J. Mech. Sci. 2021, 202–203, 106536. [Google Scholar] [CrossRef]
  188. Yang, Z.; Jin, S.; Zhang, C.; Ren, J.; Jing, W.; Wei, X. Microfluidics-Assisted Synthesis of Hydrogel Microparticles with Acoustic-Magnetic Control. Chem. Eng. Sci. 2023, 281, 119082. [Google Scholar] [CrossRef]
  189. Chen, Z.; Pei, Z.; Zhao, X.; Zhang, J.; Wei, J.; Hao, N. Acoustic Microreactors for Chemical Engineering. Chem. Eng. J. 2022, 433, 133258. [Google Scholar] [CrossRef]
  190. Yiannacou, K.; Sharma, V.; Sariola, V. Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation. Langmuir 2022, 38, 11557–11564. [Google Scholar] [CrossRef]
  191. Mohanty, S.; Paul, A.; Matos, P.M.; Zhang, J.; Sikorski, J.; Misra, S. CeFlowBot: A Biomimetic Flow-Driven Microrobot That Navigates under Magneto-Acoustic Fields. Small 2022, 18, e2105829. [Google Scholar] [CrossRef]
  192. Li, X.; Ji, Z.; Zhou, J.; Guo, Y.; He, Y.; Zhang, J.; Fu, Y. Machine Learning as a New Strategy for Designing Surface Acoustic Wave Resonators. Sens. Actuators A Phys. 2024, 369, 115158. [Google Scholar] [CrossRef]
  193. Zhao, X.; Chen, Z.; Qiu, Y.; Hao, N. Acoustic Microfluidics for Colloidal Materials and Interface Engineering. Mater. Adv. 2023, 4, 988–994. [Google Scholar] [CrossRef]
Figure 6. The acoustofluidic droplet printing systems for various biomedical applications. (A). Single-phase unidirectional transducers fabricated on lithium niobate substrate. The transducer pair is used to generate ultrasonic focus, inducing elongated liquid jets. Reprinted with permission from [151]. (B) Schematic drawing of acoustofluidic droplet printing. Both the single cells and single-cell spheroids can be located on demand. Reprinted with permission from [160]. (C) Schematic drawing of tumor organoid and the related microenvironment through the acoustofluidic droplet printing technique. Reprinted with permission from [161].
Figure 6. The acoustofluidic droplet printing systems for various biomedical applications. (A). Single-phase unidirectional transducers fabricated on lithium niobate substrate. The transducer pair is used to generate ultrasonic focus, inducing elongated liquid jets. Reprinted with permission from [151]. (B) Schematic drawing of acoustofluidic droplet printing. Both the single cells and single-cell spheroids can be located on demand. Reprinted with permission from [160]. (C) Schematic drawing of tumor organoid and the related microenvironment through the acoustofluidic droplet printing technique. Reprinted with permission from [161].
Micromachines 15 00466 g006
Figure 7. Acoustofluidic intracellular delivery into live cells. (A). An acoustofluidic device to generate acoustic streaming, enhancing the intracellular delivery of cargo into adherent cells. Reprinted with permission from [174]. (B). A SAW-based transfection platform to generate high-frequency acoustic excitation and enhance the uptake of RNA into nonadherent cells. Reprinted with permission from [175]. (C). A gigahertz ultrasonic device to induce controllable cells and, thus, adjust cellular membrane permeability. Reprinted with permission from [176]. (D). Confocal scanning results showing the fluorescence signal of delivered DNA material in cells with/without acoustofluidic sonoporation. The fluorescence intensity is profiled across the red arrows direction. Reprinted with permission from [177].
Figure 7. Acoustofluidic intracellular delivery into live cells. (A). An acoustofluidic device to generate acoustic streaming, enhancing the intracellular delivery of cargo into adherent cells. Reprinted with permission from [174]. (B). A SAW-based transfection platform to generate high-frequency acoustic excitation and enhance the uptake of RNA into nonadherent cells. Reprinted with permission from [175]. (C). A gigahertz ultrasonic device to induce controllable cells and, thus, adjust cellular membrane permeability. Reprinted with permission from [176]. (D). Confocal scanning results showing the fluorescence signal of delivered DNA material in cells with/without acoustofluidic sonoporation. The fluorescence intensity is profiled across the red arrows direction. Reprinted with permission from [177].
Micromachines 15 00466 g007
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Wu, Y.; Gai, J.; Zhao, Y.; Liu, Y.; Liu, Y. Acoustofluidic Actuation of Living Cells. Micromachines 2024, 15, 466. https://doi.org/10.3390/mi15040466

AMA Style

Wu Y, Gai J, Zhao Y, Liu Y, Liu Y. Acoustofluidic Actuation of Living Cells. Micromachines. 2024; 15(4):466. https://doi.org/10.3390/mi15040466

Chicago/Turabian Style

Wu, Yue, Junyang Gai, Yuwen Zhao, Yi Liu, and Yaling Liu. 2024. "Acoustofluidic Actuation of Living Cells" Micromachines 15, no. 4: 466. https://doi.org/10.3390/mi15040466

APA Style

Wu, Y., Gai, J., Zhao, Y., Liu, Y., & Liu, Y. (2024). Acoustofluidic Actuation of Living Cells. Micromachines, 15(4), 466. https://doi.org/10.3390/mi15040466

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop