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Article

Microfluidic-Based Droplet and Cell Manipulations Using Artificial Bacterial Flagella

by
Yun Ding
1,
Famin Qiu
2,
Xavier Casadevall i Solvas
1,
Flora Wing Yin Chiu
1,
Bradley J. Nelson
2,* and
Andrew DeMello
1,*
1
Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir Prelog Weg 1, 8093 Zürich, Switzerland
2
Institute for Robotics and Intelligent Systems, ETH Zürich, Tannenstrasse 3, 8092 Zürich, Switzerland
*
Authors to whom correspondence should be addressed.
Micromachines 2016, 7(2), 25; https://doi.org/10.3390/mi7020025
Submission received: 4 January 2016 / Revised: 2 February 2016 / Accepted: 3 February 2016 / Published: 8 February 2016
(This article belongs to the Collection Lab-on-a-Chip)
Browse Figures
Versions Notes

Abstract

:
Herein, we assess the functionality of magnetic helical microswimmers as basic tools for the manipulation of soft materials, including microdroplets and single cells. Their ability to perform a range of unit operations is evaluated and the operational challenges associated with their use are established. In addition, we also report on interactions observed between the head of such helical swimmers and the boundaries of droplets and cells and discuss the possibilities of assembling an artificial swimming microorganism or a motorized cell.

Graphical Abstract

1. Introduction

Helical microswimmers represent a category of microrobotic tools recognized as highly promising solutions for biomedical applications including minimally invasive surgery and targeted drug delivery [1,2,3]. Indeed, their implementation and controlled actuation within in vivo systems has recently been reported for deep tissue analysis [4]. The basic structure of a helical microswimmer is inspired by flagellated bacteria, where thin, whip like appendages protruding from the cell body are used to move the bacteria towards nutrients and other chemo-attractants. Accordingly, such microswimmers are often termed artificial bacterial flagella (ABFs), and have been used to address the challenging issue of swimming within the low Reynolds number regimes typical on the microscale [5,6,7]. In contrast to chemically-propelled microswimmers [8,9] and artificial cilia constructed from electroactive polymers [10,11], magnetically actuated helical microswimmers rely on the application of magnetic fields for motion [12,13]. Put simply, ABFs move in fluid environments by translating rotational motion to translational motion under the application of low-strength rotating magnetic fields. Such an approach is especially advantageous since the swimmer can be powered remotely (without the need for an on-board fuel source) and manoeuvred in controllable and dynamic fashion (Figure 1a). Unsurprisingly, the development of control methods for ABF manipulations [7] and the characterization of their swimming properties [13,14,15] has been an active area of research, with recent efforts being focused on the addition of supplementary functional units (such as “micro-holders”, “micro-bars”, and “micro-rings”) for the manipulation and transport of microscale objects [16,17,18], developing magnetic composites exhibiting superior biocompatibility [19,20] and the functionalization of ABF surfaces to furnish them with novel properties [21,22,23]. Although, the fabrication of ABFs has been described in detail elsewhere [16,24], it should be noted that adoption of two-photon polymerization (2PP) techniques for micro-/nanostructure fabrication [25,26,27] has allowed the rapid realization of three-dimensional micro-/nanoscale structures in a variety of materials [28,29,30].
In principle, ABFs can be used for manipulating microscopic objects to realize specific chemical and biological operations in both in vitro and in vivo environments. Nevertheless, to date, ABFs (with dimensions below 100 µm) have only been used to manipulate “hard” objects under idealized experimental environments, such as deionized water [16,17]. Accordingly, their potential utility in many real biological systems remains an unresolved issue. Over the past two decades, microfluidic systems (commonly termed Lab-on-a-Chip devices) have become increasingly popular platforms in which to perform a wide range of chemical and biological assays and process a diversity “soft” biological entities (e.g., microdroplets, gel microparticles, and cells) [31,32,33,34]. The ability to produce, manipulate and process soft objects in a high-throughput manner is an important feature of microfluidic systems, and their utility in applications such as digital PCR [35,36] drug delivery systems [37], single cell analysis [38,39], nanomaterial synthesis [40,41], and the generation of artificial tissues [42,43] is well documented. To demonstrate the feasibility of using ABFs to manipulate soft materials in the context of wide range of chemical and biological applications, we herein explore the three highly relevant scenarios incorporating soft microdroplets and cells. Specifically, we assess the ability of ABFs to perform a range of unit operations on soft objects within microfluidic environments and evaluate the operational challenges associated with their use.

2. Experiment, Results and Discussion

2.1. Operation inside Microfluidic Droplet

To begin, we encapsulated ABFs within water-in-oil droplets generated using a microfluidic flow-focusing geometry and assayed the capacity for ABFs to swim within an isolated nL-volume compartment. Droplets (or segmented flows) produced within microfluidics offer significant advantages when performing high-throughput biological and chemical experimentation [44,45,46]. Briefly, fL-nL volume droplets can be generated at kilohertz frequencies, where each droplet acts as an isolated assay volume. Since droplet volumes are extremely small, a wide range of assays can be performed using reagent volumes 6–9 orders of magnitude less than typically used in macroscale platforms. Additionally, the use of an immiscible continuous phase to encapsulate each droplet ensures minimal reagent interaction with channel walls and the removal of residence time distributions.
Various types of small samples (down to the single molecule or cell level) can be encapsulated or dosed into microdroplets for a range of applications [47,48]. Interestingly, Brouzes et al. recently encapsulated micron-sized super-paramagnetic beads to extract desired molecules from droplets in a segmented flow [49]. Although the motion of such magnetic beads can somewhat be controlled, locomotion at small scales (cf. the scallop theorem) cannot easily be achieved with these systems [50]. This shortcoming can however be readily overcome through the use of robotic ABFs.
For the current experiments, ABFs (16 μm in length and 5 μm in diameter) were fabricated by 2PP-based 3D laser lithography. The surface of the formed ABFs was then coated with a 50 nm Ni film and a 5 nm Ti film. The Ni layer provides the ABF with its magnetic properties and the Ti layer (autoxidized to titanium dioxide) increases biocompatibility [51]. Figure 1b presents an SEM image of a printed ABF array on a glass substrate. ABFs were harvested by ultrasonic detachment from the substrate and prepared as a suspension for subsequent use. A polydimethylsiloxane (PDMS) chip incorporating a flow focusing droplet generator was used to encapsulate single ABFs inside aqueous droplets (single-digit nL). Figure 1c illustrates the fluid connections and generic chip structure used to form aqueous droplets and encapsulate ABFs. Specifically, regions A and B define the oil (FC-40) and water inlets, respectively, and region C contains a storage chamber for droplet incubation and observation. To ensure that ABF losses within the connecting tubing (via adhesion of ABFs onto the plastic surfaces) are minimized, a chip-to-world connector [52] is used in region B allow direct injection of a small but defined volume of the ABF suspension. After encapsulation, ABFs were controlled using an in-house electromagnetic control system that generates a rotational magnetic field, which can be monitored and varied in real-time. Detailed information regarding the fabrication, materials, sample preparation and operational protocols can be found in Appendix 1, Appendix 2 and Appendix 3.
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Figure 1. (a) Illustration of a helical ABF propelled by a rotating weak magnetic field B; (b) SEM image of a printed (and uncoated) MS array on a glass substrate (scale bar is 10 μm); (c) Schematic of the PDMS microdevice that contains a flow focusing structure for encapsulating ABFs in droplets. Port A serves as the oil inlet and port B is coupled to a chip-to-world connector, from which the aqueous suspension of ABFs is introduced.
Figure 1. (a) Illustration of a helical ABF propelled by a rotating weak magnetic field B; (b) SEM image of a printed (and uncoated) MS array on a glass substrate (scale bar is 10 μm); (c) Schematic of the PDMS microdevice that contains a flow focusing structure for encapsulating ABFs in droplets. Port A serves as the oil inlet and port B is coupled to a chip-to-world connector, from which the aqueous suspension of ABFs is introduced.
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Figure 2a illustrates the encapsulation of an ABF inside an aqueous droplet at a microfluidic flow focusing geometry. Without additional modification of the droplet generation process, ABFs could be loaded into droplets in a high-speed and in a direct manner [53,54], with droplet occupancies following a Poisson distribution [36,55]. After formation, droplets were motivated to the storage chamber, where ABF swimming performance could be evaluated. Figure 2b and Video S1 show a pair of ABFs (in a “chain configuration” [56]) swimming within the confines of a 5 nL droplet in response to a dynamically varying electromagnetic field. An analysis of both the position and speed of the swimmer is presented in Figure 2c. It is observed that the swimmer can be steered in any desired direction through variation of the applied electromagnetic field, and moreover remains within the confines of the droplet, even when forced to swim against the droplet boundary (for example at 17.5 s). In this regard, the interfacial tension associated with the curved droplet boundary generates a pressure difference between the inside and the outside of the droplet (the so-called Laplace pressure) [57,58], which is given by:
Δ P = γ ( 1 R 1 + 1 R 2 )
where, γ is the surface tension and R1 and R2 are two principal radii of curvature. Since droplets are squeezed between bottom and top chip layers, R1 and R2 can be considered to be half the channel height and the radius of a droplet can be extracted from the brightfield image. Using the surface tension values for FC-40 with 3% (w/w) PFPE-PEG surfactant and a typical pushing pressure of 200 pN [17,59,60], we can estimate the equivalent radius for the push effect by an ABF to be larger than 1000 μm. Accordingly, for the current system (where the average droplet radius is 100 μm) the increased proportion of localized curvature will be less than 1/10, and, thus, droplet deformation by an ABF can be considered negligible. Indeed, as long as an ABF has no wetting affinity for the droplet/continuous phase boundary, it will remain inside the droplet under all conditions. Accordingly, we expect that the integration of ABFs with such droplets offers new opportunities for the direct manipulation of droplet contents, such as cells, nanomaterials, bacteria and other microorganisms [61].
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Figure 2. (a) Image showing the formation of an ABF-containing droplet. The ABF is shown within the white dotted circle; (b) A time-lapse image showing controlled locomotion of an ABF within a droplet. The magnetic field is 90 Hz and 9 mT; (c) Variation of ABF position and speed for experiment shown in (b). The upper plot illustrates the x, y position as a function of time and the lower plot shows the variation of velocity in the x direction. It is noted that when the ABF reaches the droplet boundary (at 17.5 s), the net displacement and average speed in x are both zero. Scale bars correspond to 100 μm.
Figure 2. (a) Image showing the formation of an ABF-containing droplet. The ABF is shown within the white dotted circle; (b) A time-lapse image showing controlled locomotion of an ABF within a droplet. The magnetic field is 90 Hz and 9 mT; (c) Variation of ABF position and speed for experiment shown in (b). The upper plot illustrates the x, y position as a function of time and the lower plot shows the variation of velocity in the x direction. It is noted that when the ABF reaches the droplet boundary (at 17.5 s), the net displacement and average speed in x are both zero. Scale bars correspond to 100 μm.
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2.2. Manipulation of Microdroplets

The ability to controllably propel and manipulate individual droplets is an additional and potentially important unit operation [62,63,64,65]. Indeed, such operations have been used to fabricate artificial tissues [43] and are indispensable in digital microfluidic applications [66]. However, it is noted that, to date, digital microfluidic platforms have been unsuccessful in robustly manipulating sub-nL droplets [67]. Accordingly, we assessed the ability of ABFs to individually transport picoliter-sized droplets. Water droplets of a size comparable to our ABFs were generated using a 5 μm wide flow-focusing geometry and transferred to a reservoir containing ABFs.
Data presented in Figure 3 demonstrate that ABFs are competent in transporting aqueous microdroplets. In addition to factors such as rotation frequency of the magnetic field, fluid viscosity [13] and payload size, propelling performance (i.e., speed) is largely controlled by the friction between the droplet and the reservoir walls. Indeed, three main situations could be identified. First, when operating within “open” reservoirs (e.g., a plastic tank, 2 cm long, 1 cm wide and 0.5 cm deep), both droplets and ABFs could freely float on the fluorinated continuous phase (of higher density) and droplet transport was facile. For example, Video S2 shows a droplet being propelled by an ABF less than half its size, even against the direction of a residual convective flow. Second, in a fully enclosed (PDMS or PMMA (polymethyl methacrylate)) chambers, droplets that were large enough to be squeezed between the top and bottom walls, or droplets that displayed some degree of affinity for the chamber walls, could not be maneuvered (see Video S3). Finally, droplets with diameters less than the chamber height and no apparent affinity for the channel walls could also be smoothly transported within enclosed chambers. In this regard, Figure 3a shows a sequence of images of a small droplet being transported along a PDMS chamber 25-μm deep (also in Video S4). In addition, Figure 3b describes the relative position of a reference droplet over time. Droplet size (a proxy of payload) was also observed to affect the delivery rate. Figure 4a illustrates the propulsion of a larger droplet within an identical PDMS chamber and using the same operational field parameters (70 Hz and 7 mT). It was observed that the larger droplet could be maneuvered at a speed of 7.5 μm/s, which is approximately 4 times slower than the achievable velocity of the droplet described in Figure 3 (30.3 μm/s). This indicates that the payload (in this case volume) of the sample to be transported is an important factor in defining ABF-mediated delivery. It should also be noted that ABF swimming performance within the FC-40 fluorinated oil (dynamic viscosity = 4.1 cP) closely mirrored that within aqueous environments (e.g., deionized water; dynamic viscosity, 0.89 cP), although with reduced swimmer velocities [16,21]. The characterization of ABF swimming capabilities in FC-40 is shown in Figure 5a,b.
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Figure 3. (a) Time lapse images of an ABF transporting a microdroplet within a 25 μm deep PDMS chamber, under the application of a 70 Hz, 7 mT magnetic field. The scale bar corresponds to 50 μm. (i–vi) Time lapse images at 0.5 s intervals. (b) Assessment of the relative distance between the transported droplet and a reference droplet as a function of time.
Figure 3. (a) Time lapse images of an ABF transporting a microdroplet within a 25 μm deep PDMS chamber, under the application of a 70 Hz, 7 mT magnetic field. The scale bar corresponds to 50 μm. (i–vi) Time lapse images at 0.5 s intervals. (b) Assessment of the relative distance between the transported droplet and a reference droplet as a function of time.
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Figure 4. (a) A time-lapse image showing the transportation of a large droplet by an ABF across a 25 μm deep PDMS chamber, under the application of a 70 Hz, 7 mT magnetic field. Note the “swinging” behavior observed in region A. (b) A time-lapse image showing two large droplets being simultaneously transported along a 100 μm deep PDMS chamber. (c) Schematic explanation of the “soft” adhesion observed between surfactant coated droplets and the tip of an ABF. The scale bar corresponds to 20 μm and the straight black line defines the chamber wall.
Figure 4. (a) A time-lapse image showing the transportation of a large droplet by an ABF across a 25 μm deep PDMS chamber, under the application of a 70 Hz, 7 mT magnetic field. Note the “swinging” behavior observed in region A. (b) A time-lapse image showing two large droplets being simultaneously transported along a 100 μm deep PDMS chamber. (c) Schematic explanation of the “soft” adhesion observed between surfactant coated droplets and the tip of an ABF. The scale bar corresponds to 20 μm and the straight black line defines the chamber wall.
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Figure 5. Swimming characterization in FC-40 oil (containing 3% w/w PFPE-PEG-PFPE tri-block surfactant) along a 100 μm deep PDMS chamber. (a) Forward swimming speed of ABFs as a function of magnetic field strength and rotation frequency. (b) Evaluation of the steadiness of swimming. Here, higher values represent reduced “steadiness”. “Wobbling” and “shifting” are two deleterious factors used to assay the swimming performance of ABFs (the assay methodology is provided in Appendix 4). The combination of these data provides the range of operational parameters that deliver stable swimming performance.
Figure 5. Swimming characterization in FC-40 oil (containing 3% w/w PFPE-PEG-PFPE tri-block surfactant) along a 100 μm deep PDMS chamber. (a) Forward swimming speed of ABFs as a function of magnetic field strength and rotation frequency. (b) Evaluation of the steadiness of swimming. Here, higher values represent reduced “steadiness”. “Wobbling” and “shifting” are two deleterious factors used to assay the swimming performance of ABFs (the assay methodology is provided in Appendix 4). The combination of these data provides the range of operational parameters that deliver stable swimming performance.
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An interesting observation was the presence of “soft” adhesion forces between the TiO2-ABFs and the surface of both, droplets and cells. This unexpected interaction is instrumental in aiding reliable manipulation of soft particles. Figure 4a (area A) and Video S5 clearly illustrate the effect, where a droplet is successfully delivered to a larger one despite the ABF undergoing a brief period of destabilization. Adhesion also makes it possible for an ABF to transport two droplets simultaneously (Figure 4c and Video S6). We suspect that this phenomenon is caused by the adsorption and entanglement of the perfluoropolyether surfactant tails on the TiO2 surface (Figure 4c), a mechanism similar to that reported and characterized by Walczak et al. [68]. In principle, such adhesion effects could be used to more closely associate ABFs with droplets (or cells), to create biosynthetic, propulsion assemblies, mimicking naturally swimming microorganisms, such as E.coli and spermatozoa.

2.3. Motorized Cell

Single cell manipulation via magnetic microrobotics has previously been realized through the use of a U-shaped microtransporter [69]. It is noted however, that this tool is limited to transport on surfaces since it lacks the 3D locomotion capabilities of ABFs. To this end, we assessed the feasibility of assembling ABFs on individual cells for propulsion purposes. Human B lymphocytes (that identify pathogens when surface antibodies bind to a foreign antigen) are key components within the human immune system, and thus interesting candidates for “motorization”.
We successfully assembled and disassembled B cells onto ABFs (a description of the treatment of B cells in these experiments can be found in the Appendix 5). Figure 6a and Video S7 show such a process. Here, it can be seen that an ABF is steered toward a Human B lymphocyte cell at a velocity of 8.7 μm/s (accelerated from standing). On contact, the cell/ABF assembly continues towards the target cell at a velocity of 2.9 μm/s. After the ABF has delivered the cell to the desired location, it then disassembles and retreats at a velocity of 18.1 μm/s. Compared to data associated with droplet transport, assembly and motivation of Human B lymphocyte cells is associated with a stronger entanglement effect with the ABFs, which is likely to be due to the richness and complexity of the biological cell membrane (which will contain a wide variety of cell receptors and adhesion proteins). In some cases, this interaction was so strong that cells could be dragged by the ABF (Figure 6b and Video S8) to form tandem cluster configurations, such as those shown in Figure 6c (and Video S9). Observation of such motorized cells over a period of 1 h of operation revealed no observable changes in morphology. Moreover, viability assays of cells actuated by ABFs indicated no change in cell mortality when compared to control samples (details are provided in the Appendix 6).
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Figure 6. (a) The process by which a motorized cell is assembled and disassembled. In (i) and (ii) an ABF approaches the desired cell, contacts it and assembles. The B-cell-ABF assembly then moves forward following the direction of the applied rotating magnetic field (iii and iv). To disassemble, the rotating direction of magnetic field is simply reversed, allowing the ABF to move back and detach from the cell. (b) A time-lapse image of a cell being dragged. (c) A time-lapse image of the process of forming an ABF-cell-ABF configuration. The scale bar corresponds to 20 μm.
Figure 6. (a) The process by which a motorized cell is assembled and disassembled. In (i) and (ii) an ABF approaches the desired cell, contacts it and assembles. The B-cell-ABF assembly then moves forward following the direction of the applied rotating magnetic field (iii and iv). To disassemble, the rotating direction of magnetic field is simply reversed, allowing the ABF to move back and detach from the cell. (b) A time-lapse image of a cell being dragged. (c) A time-lapse image of the process of forming an ABF-cell-ABF configuration. The scale bar corresponds to 20 μm.
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3. Conclusions

In conclusion, we have explored and validated for the first time the manipulation of soft materials by magnetically actuated, helical microswimmers. Such swimmers were shown to exhibit uniform swimming performance in a variety of fluid environments (including deionized water, cell growth media and fluorinated oils). Significantly, precise and controlled ABF locomotion was demonstrated for the first time within confined fluid volumes (such as water-in-oil droplets). Furthermore, the intimate interaction between ABFs and both microdroplets and Human B lymphocyte cells was leveraged to allow controlled assembly and disassembly of objects with complex configurations. We recognize that such droplet/cell-ABF assemblies could be used to mimic biological microorganisms, while “motorized” B cells have the potential to enable targeted immunotherapies in vivo. Accordingly, we believe that ABFs represent a promising engineering tool for microfluidic droplet and cell-based experimentation at the single unit level.

Supplementary Materials

The following are available online at https://www.mdpi.com/2072-666X/7/2/25/s1. Nine video clips are combined into a single one with a title for each section. Video S1: manipulation of microswimmers within a droplet, Video S2: targeted delivery of a droplet in an uncapped tank, Video S3: a droplet that wets the surface and cannot be moved, Video S4: transportation of a droplet within a PDMS chamber, Video S5: adhesion between a droplet and a microswimmer, Video S6: simultaneous movement of two droplets, Video S7: assembling and disassembling a motorized cell, Video S8: a microswimmer dragging a cell, Video S9: formation of a microswimmer-cell-microswimmer assembly.

Acknowledgments

The authors would like to acknowledge ETH Zürich, the National Research Foundation of Korea (Global Research Laboratory Programme Grant K20904000004-10A0500-00410) and Sino-Swiss Science and Technology Cooperation (SSSTC, Grant No. IZLCZ2_138898) for partial support. Yun Ding also acknowledges the provision of a China Scholarship Council fellowship.

Author Contributions

Yun Ding conceived and designed the experiments, analyzed the data and wrote the paper; Yun Ding and Famin Qiu performed the experiments; Flora Wing Yin Chiu contributed to the cell culture and test; Xavier Casadevall i Solvas and Andrew deMello reviewed the manuscript. Andrew deMello and Bradley J. Nelson were principal investigators of the supporting grants.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix

1. ABF Fabrication and Suspension Preparation

A 3D laser lithography system (Photonic Professional, Nanoscribe GmbH, Eggenstein-Leopoldshafen, Germany) was used to print all artificial bacterial flagella used in the current work. A negative-tone photoresist (IP-L 780, Nanoscribe GmbH, Germany) optimized for two-photon polymerization was used to achieve high resolution combined with simplicity of use. Briefly, processing consisted of writing, developing and drying the photoresist, followed by deposition of two metal layers (50 nm Ni and 5 nm Ti) by physical vapour deposition (Evaporation Plassys II, PLASSYS, Marolles-en-Hurepoix, France). A detailed description of the complete process can be found elsewhere [16]. To form a fluid suspension of the microswimmers, the formed arrays were detached from a glass substrate via sonication. This involved removal of excess regions of glass substrate and insertion of the remaining substrate into a 1.5 mL centrifuge tube (Eppendorf® LoBind, Sigma-Aldrich Chemie GmbH, Buchs, Switzerland). This was followed by addition of 0.2 mL of deionized water. Sonication at 40 kHz for 15 min resulted in the detachment of more than 95% of the microswimmers. Microwimmers intended for use in fluorinated oil (Fluorinert® FC-40, Sigma Aldrich, Switzerland) were dehydrated under vacuum overnight before being suspended in FC-40 (containing surfactant).

2. PDMS Chip Fabrication and ABF Encapsulation

PDMS (Sylgard® 184, Dow Corning, Biesterfeld Spezialchemie GmbH, Hamburg, Germany) microdevices were fabricated using standard soft lithographic methods. Details of the entire procedure are provided elsewhere [70]. The top structured PDMS layer was subsequently bonded to a flat bottom PDMS layer by treatment in an oxygen plasma. Finally, the whole assembly was contacted with a glass microscope slide to provide mechanical strength.
To create water-in-oil droplets, an oil phase FC-40 containing 3% (w/w) of a PFPE-PEG surfactant (EA-Surfactant, RainDance Technologies) was combined with a deionized water stream at a standard flow focussing geometry, with hydrodynamic motivation being provided by syringe pumps (neMESYS Low Pressure Dosing Module, Cetoni, Korbußen, Germany). To encapsulate single microswimmers within such droplets, microchannels were initially filled with the oil phase to expel gas bubbles and prevent wetting of the discrete phase. 20 μL of the ABF suspension was then added through the chip-to-world connector. After delivering oil (20 μL/min) and water (10 μL/min) for a period of 90 s, a stable segmented flow of droplets (which were either empty or containing a single microswimmer) was achieved.

3. Magnetic Control System

The primary part of the magnetic control system consists of three pairs of electromagnetic coils oriented along the Cartesian coordinate systems of three-dimensional space. Operational variables include magnetic intensity (up to 10 mT), rotating frequency (up to 200 Hz), pitch angle and yaw angle. A detailed description of the complete system can be found elsewhere [7,16].

4. Method to Assess Swimming Steadiness

To quantitatively evaluate steadiness we assign relative values to two undesirable phenomena that arise during ABF operation; shifting (when the ABF trajectory deviates from the direction induced by the magnetic field) and wobbling (when the ABF wobbles but preserves its axial direction). If neither shifting nor wobbling are present, a score 0 is given for each respective parameter; conversely, a score of 3 is given for the maximum shifting or wobbling angles observed. A final score quantifying steadiness for any ABF is calculated using the relationship shown in Figure A1.
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Figure A1. Calculation of the steadiness variable. The left image describes the shifting phenomenon and the right image the wobbling phenomenon.
Figure A1. Calculation of the steadiness variable. The left image describes the shifting phenomenon and the right image the wobbling phenomenon.
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5. Treatment of Biological Cells

Human B lymphocyte cells were handled and processed according to the following protocol. Prior to experimentation, cells were cultured in RPMI 1640 growth medium (Life Technologies Europe B.V., Zug, Switzerland) supplemented with 10% (v/v) heat-inactivated fetal bovine serum (Invitrogen, UK), 2 mM L-glutamine (Invitrogen, UK), 50 U/mL penicillin and 50 µg/mL streptomycin (Invitrogen, UK). For experiments, cells were washed once in calcium- and magnesium-free phosphate-buffered saline (Invitrogen, UK) and counted with a haemocytometer. Cells were then re-suspended in calcium- and magnesium-free phosphate-buffered saline with 2% (v/v) heat-inactivated fetal bovine serum in the desired concentration and volume.
To ensure that microswimmers did not stick to exposed microchannel surfaces, a thin layer of PDMS (100 μm in height) was deposited on a microscope glass slide (76 × 26 × 1 mm; Menzel-Glaser, Braunschweig, Germany) via spin-coating and followed by the curing at 70 °C in oven for 1 h. Subsequently a sheet of SA8S-0.5-SecureSeal (Grace Bio-Labs, Bend, OR, USA) was placed over the PDMS layer to form 8 chambers (7 mm wide, 7 mm long and 0.5 mm deep).

6. Cell Viability Assessment

The cell viability assay follows the protocol described in Figure A2, with only dead cells being stained. Results shown in Table A1 indicate minimal variation in viability over a 2 h timescale.
Table
Table A1. Cell viability assay results.
Table A1. Cell viability assay results.
TimeLiving Cell Proportion (Control)Living Cell Proportion (Test)
15 min97.3%98.6%
30 min96.2%97.6%
60 min96.1%96.3%
120 min94.0%94.5%
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Figure A2. Protocol for testing cell viability.
Figure A2. Protocol for testing cell viability.
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References

  1. Nelson, B.J.; Kaliakatsos, I.K.; Abbott, J.J. Microrobots for Minimally Invasive Medicine. Annu. Rev. Biomed. Eng. 2010, 12, 55–85. [Google Scholar] [CrossRef] [PubMed]
  2. Peyer, K.E.; Zhang, L.; Nelson, B.J. Bio-inspired magnetic swimming microrobots for biomedical applications. Nanoscale 2013, 5, 1259–1272. [Google Scholar] [CrossRef] [PubMed]
  3. Stanton, M.M.; Trichet-Paredes, C.; Sánchez, S. Applications of three-dimensional (3D) printing for microswimmers and bio-hybrid robotics. Lab Chip 2015, 15, 1634–1637. [Google Scholar] [CrossRef] [PubMed]
  4. Servant, A.; Qiu, F.; Mazza, M.; Kostarelos, K.; Nelson, B.J. Controlled In Vivo Swimming of a Swarm of Bacteria-Like Microrobotic Flagella. Adv. Mater. 2015, 27, 2981–2988. [Google Scholar] [CrossRef] [PubMed]
  5. Berg, H.C.; Anderson, R.A. Bacteria Swim by Rotating their Flagellar Filaments. Nature 1973, 245, 380–382. [Google Scholar] [CrossRef] [PubMed]
  6. Dreyfus, R.; Baudry, J.; Roper, M.L.; Fermigier, M.; Stone, H.A.; Bibette, J. Microscopic artificial swimmers. Nature 2005, 437, 862–865. [Google Scholar] [CrossRef] [PubMed]
  7. Zhang, L.; Peyer, K.E.; Petit, T.; Kratochvil, B.E.; Nelson, B.J. Motion control of artificial bacterial flagella. In Proceedings of 2010 10th IEEE Conference on Nanotechnology (IEEE-NANO), Seoul, Korea, 17–20 August 2010; pp. 893–896.
  8. Gao, W.; Manesh, K.M.; Hua, J.; Sattayasamitsathit, S.; Wang, J. Hybrid Nanomotor: A Catalytically/Magnetically Powered Adaptive Nanowire Swimmer. Small 2011, 7, 2047–2051. [Google Scholar] [CrossRef] [PubMed]
  9. Gibbs, J.G.; Fischer, P. Active colloidal microdrills. Chem. Commun. 2015, 51, 4192–4195. [Google Scholar] [CrossRef] [PubMed]
  10. Den Toonder, J.; Bos, F.; Broer, D.; Filippini, L.; Gillies, M.; de Goede, J.; Mol, T.; Reijme, M.; Talen, W.; Wilderbeek, H.; Khatavkar, V.; Anderson, P. Artificial cilia for active micro-fluidic mixing. Lab Chip 2008, 8, 533–541. [Google Scholar] [CrossRef] [PubMed]
  11. Casadevall i Solvas, X.; Lambert, R.A.; Kulinsky, L.; Rangel, R.H.; Madou, M.J. Micromixing and flow manipulation with polymer microactuators. Microfluid. Nanofluid. 2011, 11, 405–416. [Google Scholar] [CrossRef]
  12. Zhang, L.; Abbott, J.J.; Dong, L.; Kratochvil, B.E.; Zhang, H.; Peyer, K.E.; Nelson, B.J. Micromanipulation using artificial bacterial flagella. In Proceedings of 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009), St. Louis, MO, USA, 10–15 October 2009; pp. 1401–1406.
  13. Zhang, L.; Abbott, J.J.; Dong, L.; Peyer, K.E.; Kratochvil, B.E.; Zhang, H.; Bergeles, C.; Nelson, B.J. Characterizing the Swimming Properties of Artificial Bacterial Flagella. Nano Lett. 2009, 9, 3663–3667. [Google Scholar] [CrossRef] [PubMed]
  14. Peyer, K.E.; Qiu, F.; Zhang, L.; Nelson, B.J. Movement of artificial bacterial flagella in heterogeneous viscous environments at the microscale. In Proceedings of 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012), Vilamoura, Portugal, 7–12 October 2012; pp. 2553–2558.
  15. Temel, F.Z.; Erman, A.G.; Yesilyurt, S. Characterization and Modeling of Biomimetic Untethered Robots Swimming in Viscous Fluids Inside Circular Channels. IEEE/ASME Trans. Mechatron. 2014, 19, 1562–1573. [Google Scholar]
  16. Tottori, S.; Zhang, L.; Qiu, F.; Krawczyk, K.K.; Franco-Obregón, A.; Nelson, B.J. Magnetic Helical Micromachines: Fabrication, Controlled Swimming, and Cargo Transport. Adv. Mater. 2012, 811–816. [Google Scholar] [CrossRef] [PubMed]
  17. Huang, T.-Y.; Qiu, F.; Tung, H.-W.; Peyer, K.E.; Shamsudhin, N.; Pokki, J.; Zhang, L.; Chen, X.-B.; Nelson, B.J.; Sakar, M.S. Cooperative manipulation and transport of microobjects using multiple helical microcarriers. RSC Adv. 2014, 4, 26771. [Google Scholar] [CrossRef]
  18. Peters, C.; Ergeneman, O.; García, P.D.W.; Müller, M.; Pané, S.; Nelson, B.J.; Hierold, C. Superparamagnetic Twist-Type Actuators with Shape-Independent Magnetic Properties and Surface Functionalization for Advanced Biomedical Applications. Adv. Funct. Mater. 2014, 24, 5269–5276. [Google Scholar] [CrossRef]
  19. Qiu, F.; Zhang, L.; Peyer, K.E.; Casarosa, M.; Franco-Obregón, A.; Choi, H.; Nelson, B.J. Noncytotoxic artificial bacterial flagella fabricated from biocompatible ORMOCOMP and iron coating. J. Mater. Chem. B 2013, 2, 357–362. [Google Scholar] [CrossRef]
  20. Suter, M.; Zhang, L.; Siringil, E.C.; Peters, C.; Luehmann, T.; Ergeneman, O.; Peyer, K.E.; Nelson, B.J.; Hierold, C. Superparamagnetic microrobots: fabrication by two-photon polymerization and biocompatibility. Biomed. Microdevices 2013, 15, 997–1003. [Google Scholar] [CrossRef] [PubMed]
  21. Qiu, F.; Fujita, S.; Mhanna, R.; Zhang, L.; Simona, B.R.; Nelson, B.J. Magnetic Helical Microswimmers Functionalized with Lipoplexes for Targeted Gene Delivery. Adv. Funct. Mater. 2015, 25, 1666–1671. [Google Scholar] [CrossRef]
  22. Qiu, F.; Mhanna, R.; Zhang, L.; Ding, Y.; Fujita, S.; Nelson, B.J. Artificial bacterial flagella functionalized with temperature-sensitive liposomes for controlled release. Sens. Actuators B Chem. 2014, 196, 676–681. [Google Scholar] [CrossRef]
  23. Mhanna, R.; Qiu, F.; Zhang, L.; Ding, Y.; Sugihara, K.; Zenobi-Wong, M.; Nelson, B.J. Artificial Bacterial Flagella for Remote-Controlled Targeted Single-Cell Drug Delivery. Small 2014, 10, 1953–1957. [Google Scholar] [CrossRef] [PubMed]
  24. Zhang, L.; Abbott, J.J.; Dong, L.; Kratochvil, B.E.; Bell, D.; Nelson, B.J. Artificial bacterial flagella: Fabrication and magnetic control. Appl. Phys. Lett. 2009, 94, 064107. [Google Scholar] [CrossRef]
  25. Cumpston, B.H.; Ananthavel, S.P.; Barlow, S.; Dyer, D.L.; Ehrlich, J.E.; Erskine, L.L.; Heikal, A.A.; Kuebler, S.M.; Lee, I.-Y.S.; McCord-Maughon, D.; et al. Two-photon polymerization initiators for three-dimensional optical data storage and microfabrication. Nature 1999, 398, 51–54. [Google Scholar]
  26. Wu, S.; Serbin, J.; Gu, M. Two-photon polymerisation for three-dimensional micro-fabrication. J. Photochem. Photobiol. Chem. 2006, 181, 1–11. [Google Scholar] [CrossRef]
  27. Von Freymann, G.; Ledermann, A.; Thiel, M.; Staude, I.; Essig, S.; Busch, K.; Wegener, M. Three-Dimensional Nanostructures for Photonics. Adv. Funct. Mater. 2010, 20, 1038–1052. [Google Scholar] [CrossRef]
  28. Juodkazis, S.; Mizeikis, V.; Seet, K.K.; Miwa, M.; Misawa, H. Two-photon lithography of nanorods in SU-8 photoresist. Nanotechnology 2005, 16, 846. [Google Scholar] [CrossRef]
  29. De Marco, C.; Gaidukeviciute, A.; Kiyan, R.; Eaton, S.M.; Levi, M.; Osellame, R.; Chichkov, B.N.; Turri, S. A New Perfluoropolyether-Based Hydrophobic and Chemically Resistant Photoresist Structured by Two-Photon Polymerization. Langmuir 2013, 29, 426–431. [Google Scholar] [CrossRef] [PubMed]
  30. Xing, J.-F.; Zheng, M.-L.; Duan, X.-M. Two-photon polymerization microfabrication of hydrogels: An advanced 3D printing technology for tissue engineering and drug delivery. Chem. Soc. Rev. 2015, 44, 5031–5039. [Google Scholar] [CrossRef] [PubMed]
  31. Kintses, B.; van Vliet, L.D.; Devenish, S.R.; Hollfelder, F. Microfluidic droplets: new integrated workflows for biological experiments. Curr. Opin. Chem. Biol. 2010, 14, 548–555. [Google Scholar] [CrossRef] [PubMed]
  32. Theberge, A.B.; Courtois, F.; Schaerli, Y.; Fischlechner, M.; Abell, C.; Hollfelder, F.; Huck, W.T.S. Microdroplets in Microfluidics: An Evolving Platform for Discoveries in Chemistry and Biology. Angew. Chem. Int. Ed. 2010, 49, 5846–5868. [Google Scholar] [CrossRef] [PubMed]
  33. Chung, B.G.; Lee, K.-H.; Khademhosseini, A.; Lee, S.-H. Microfluidic fabrication of microengineered hydrogels and their application in tissue engineering. Lab Chip 2011, 12, 45–59. [Google Scholar] [CrossRef] [PubMed]
  34. El-Ali, J.; Sorger, P.K.; Jensen, K.F. Cells on chips. Nature 2006, 442, 403–411. [Google Scholar] [CrossRef] [PubMed]
  35. Hindson, B.J.; Ness, K.D.; Masquelier, D.A.; Belgrader, P.; Heredia, N.J.; Makarewicz, A.J.; Bright, I.J.; Lucero, M.Y.; Hiddessen, A.L.; Legler, T.C.; et al. High-Throughput Droplet Digital PCR System for Absolute Quantitation of DNA Copy Number. Anal. Chem. 2011, 83, 8604–8610. [Google Scholar] [CrossRef] [PubMed]
  36. Hatch, A.C.; Fisher, J.S.; Tovar, A.R.; Hsieh, A.T.; Lin, R.; Pentoney, S.L.; Yang, D.L.; Lee, A.P. 1-Million droplet array with wide-field fluorescence imaging for digital PCR. Lab Chip 2011, 11, 3838–3845. [Google Scholar] [CrossRef] [PubMed]
  37. Raemdonck, K.; Demeester, J.; Smedt, S.D. Advanced nanogel engineering for drug delivery. Soft Matter 2009, 5, 707–715. [Google Scholar] [CrossRef]
  38. Braschler, T.; Johann, R.; Heule, M.; Metref, L.; Renaud, P. Gentle cell trapping and release on a microfluidic chip by in situ alginate hydrogel formation. Lab Chip 2005, 5, 553–559. [Google Scholar] [CrossRef] [PubMed]
  39. Tan, W.-H.; Takeuchi, S. Dynamic microarray system with gentle retrieval mechanism for cell-encapsulating hydrogel beads. Lab Chip 2008, 8, 259–266. [Google Scholar] [CrossRef] [PubMed]
  40. Chan, E.M.; Alivisatos, A.P.; Mathies, R.A. High-Temperature Microfluidic Synthesis of CdSe Nanocrystals in Nanoliter Droplets. J. Am. Chem. Soc. 2005, 127, 13854–13861. [Google Scholar] [CrossRef] [PubMed]
  41. Niu, G.; Ruditskiy, A.; Vara, M.; Xia, Y. Toward continuous and scalable production of colloidal nanocrystals by switching from batch to droplet reactors. Chem. Soc. Rev. 2015, 44, 5806–5820. [Google Scholar] [CrossRef] [PubMed]
  42. Villar, G.; Graham, A.D.; Bayley, H. A Tissue-Like Printed Material. Science 2013, 340, 48–52. [Google Scholar] [CrossRef] [PubMed]
  43. Wauer, T.; Gerlach, H.; Mantri, S.; Hill, J.; Bayley, H.; Sapra, K.T. Construction and Manipulation of Functional Three-Dimensional Droplet Networks. ACS Nano 2014, 8, 771–779. [Google Scholar] [CrossRef] [PubMed]
  44. Brouzes, E.; Medkova, M.; Savenelli, N.; Marran, D.; Twardowski, M.; Hutchison, J.B.; Rothberg, J.M.; Link, D.R.; Perrimon, N.; Samuels, M.L. Droplet microfluidic technology for single-cell high-throughput screening. Proc. Natl. Acad. Sci. USA 2009, 106, 14195–14200. [Google Scholar] [CrossRef] [PubMed]
  45. Stanley, C.E.; Wootton, R.C.R.; deMello, A.J. Continuous and Segmented Flow Microfluidics: Applications in High- throughput Chemistry and Biology. Chim. Int. J. Chem. 2012, 66, 88–98. [Google Scholar] [CrossRef] [PubMed]
  46. Guo, M.T.; Rotem, A.; Heyman, J.A.; Weitz, D.A. Droplet microfluidics for high-throughput biological assays. Lab Chip 2012, 12, 2146–2155. [Google Scholar] [CrossRef] [PubMed]
  47. Kang, D.-K.; Monsur Ali, M.; Zhang, K.; Pone, E.J.; Zhao, W. Droplet microfluidics for single-molecule and single-cell analysis in cancer research, diagnosis and therapy. TrAC Trends Anal. Chem. 2014, 58, 145–153. [Google Scholar] [CrossRef]
  48. Mazutis, L.; Gilbert, J.; Ung, W.L.; Weitz, D.A.; Griffiths, A.D.; Heyman, J.A. Single-cell analysis and sorting using droplet-based microfluidics. Nat. Protoc. 2013, 8, 870–891. [Google Scholar] [CrossRef] [PubMed]
  49. Brouzes, E.; Kruse, T.; Kimmerling, R.; Strey, H.H. Rapid and continuous magnetic separation in droplet microfluidic devices. Lab Chip 2015, 15, 908–919. [Google Scholar] [CrossRef] [PubMed]
  50. Lauga, E. Life around the scallop theorem. Soft Matter 2011, 7, 3060–3065. [Google Scholar] [CrossRef]
  51. Li, J. Behaviour of titanium and titania-based ceramics in vitro and in vivo. Biomaterials 1993, 14, 229–232. [Google Scholar] [CrossRef]
  52. Van Swaay, D.; Mächler, J.-P.; Stanley, C.; deMello, A. A chip-to-world connector with a built-in reservoir for simple small-volume sample injection. Lab Chip 2013, 14, 178–181. [Google Scholar] [CrossRef] [PubMed]
  53. Kemna, E.W.M.; Schoeman, R.M.; Wolbers, F.; Vermes, I.; Weitz, D.A.; van den Berg, A. High-yield cell ordering and deterministic cell-in-droplet encapsulation using Dean flow in a curved microchannel. Lab Chip 2012, 12, 2881–2887. [Google Scholar] [CrossRef] [PubMed]
  54. Abate, A.R.; Chen, C.-H.; Agresti, J.J.; Weitz, D.A. Beating Poisson encapsulation statistics using close-packed ordering. Lab Chip 2009, 9, 2628–2631. [Google Scholar] [CrossRef] [PubMed]
  55. Edd, J.F.; Carlo, D.D.; Humphry, K.J.; Köster, S.; Irimia, D.; Weitz, D.A.; Toner, M. Controlled encapsulation of single-cells into monodisperse picolitre drops. Lab Chip 2008, 8, 1262–1264. [Google Scholar] [CrossRef] [PubMed]
  56. Tottori, S.; Zhang, L.; Peyer, K.E.; Nelson, B.J. Assembly, Disassembly, and Anomalous Propulsion of Microscopic Helices. Nano Lett. 2013, 13, 4263–4268. [Google Scholar] [CrossRef] [PubMed]
  57. Garstecki, P.; Fuerstman, M.J.; Stone, H.A.; Whitesides, G.M. Formation of droplets and bubbles in a microfluidic T-junction—Scaling and mechanism of break-up. Lab Chip 2006, 6, 437–446. [Google Scholar] [CrossRef] [PubMed]
  58. Baroud, C.N.; Gallaire, F.; Dangla, R. Dynamics of microfluidic droplets. Lab Chip 2010, 10, 2032–2045. [Google Scholar] [CrossRef] [PubMed]
  59. Baret, J.-C. Surfactants in droplet-based microfluidics. Lab Chip 2012, 12, 422–433. [Google Scholar] [CrossRef] [PubMed]
  60. Holt, D.J.; Payne, R.J.; Chow, W.Y.; Abell, C. Fluorosurfactants for microdroplets: Interfacial tension analysis. J. Colloid Interface Sci. 2010, 350, 205–211. [Google Scholar] [CrossRef] [PubMed]
  61. Wen, H.; Yu, Y.; Zhu, G.; Jiang, L.; Qin, J. A droplet microchip with substance exchange capability for the developmental study of C. elegans. Lab Chip 2015, 15, 1905–1911. [Google Scholar] [CrossRef] [PubMed]
  62. Velev, O.D.; Prevo, B.G.; Bhatt, K.H. On-chip manipulation of free droplets. Nature 2003, 426, 515–516. [Google Scholar] [CrossRef] [PubMed]
  63. Jung, Y.-M.; Kang, I.S. A novel actuation method of transporting droplets by using electrical charging of droplet in a dielectric fluid. Biomicrofluidics 2009, 3, 022402. [Google Scholar] [CrossRef] [PubMed]
  64. Wixforth, A.; Strobl, C.; Gauer, C.; Toegl, A.; Scriba, J.; Guttenberg, Z.V. Acoustic manipulation of small droplets. Anal. Bioanal. Chem. 2004, 379, 982–991. [Google Scholar] [CrossRef] [PubMed]
  65. Pei, S.N.; Valley, J.K.; Neale, S.L.; Jamshidi, A.; Hsu, H.-Y.; Wu, M.C. Light-actuated digital microfluidics for large-scale, parallel manipulation of arbitrarily sized droplets. In Proceedings of 2010 IEEE 23rd International Conference on Micro Electro Mechanical Systems (MEMS 2010), Hong Kong, China, 24–28 January 2010; pp. 252–255.
  66. Cho, S.K.; Moon, H.; Kim, C.-J. Creating, transporting, cutting, and merging liquid droplets by electrowetting-based actuation for digital microfluidic circuits. J. Microelectromech. Syst. 2003, 12, 70–80. [Google Scholar]
  67. Jebrail, M.J.; Bartsch, M.S.; Patel, K.D. Digital microfluidics: a versatile tool for applications in chemistry, biology and medicine. Lab Chip 2012, 12, 2452–2463. [Google Scholar] [CrossRef] [PubMed]
  68. Walczak, M.M.; Leavitt, P.K.; Thiel, P.A. Oxygenated fluorocarbons adsorbed at metal surfaces: chemisorption bond strengths and decomposition. J. Am. Chem. Soc. 1987, 109, 5621–5627. [Google Scholar] [CrossRef]
  69. Sakar, M.S.; Steager, E.B.; Kim, D.H.; Kim, M.J.; Pappas, G.J.; Kumar, V. Single cell manipulation using ferromagnetic composite microtransporters. Appl. Phys. Lett. 2010, 96, 043705. [Google Scholar] [CrossRef]
  70. Xia, Y.; Whitesides, G.M. Soft Lithography. Angew. Chem. Int. Ed. 1998, 37, 550–575. [Google Scholar] [CrossRef]

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MDPI and ACS Style

Ding, Y.; Qiu, F.; Casadevall i Solvas, X.; Chiu, F.W.Y.; Nelson, B.J.; DeMello, A. Microfluidic-Based Droplet and Cell Manipulations Using Artificial Bacterial Flagella. Micromachines 2016, 7, 25. https://doi.org/10.3390/mi7020025

AMA Style

Ding Y, Qiu F, Casadevall i Solvas X, Chiu FWY, Nelson BJ, DeMello A. Microfluidic-Based Droplet and Cell Manipulations Using Artificial Bacterial Flagella. Micromachines. 2016; 7(2):25. https://doi.org/10.3390/mi7020025

Chicago/Turabian Style

Ding, Yun, Famin Qiu, Xavier Casadevall i Solvas, Flora Wing Yin Chiu, Bradley J. Nelson, and Andrew DeMello. 2016. "Microfluidic-Based Droplet and Cell Manipulations Using Artificial Bacterial Flagella" Micromachines 7, no. 2: 25. https://doi.org/10.3390/mi7020025

APA Style

Ding, Y., Qiu, F., Casadevall i Solvas, X., Chiu, F. W. Y., Nelson, B. J., & DeMello, A. (2016). Microfluidic-Based Droplet and Cell Manipulations Using Artificial Bacterial Flagella. Micromachines, 7(2), 25. https://doi.org/10.3390/mi7020025

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