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Integrated Microfluidic CMOS (imCMOS) Sensors and Actuators for Life Science Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: closed (1 June 2019) | Viewed by 14065

Special Issue Editor

Special Issue Information

Dear Colleagues,

Recent advances in Integrated Microfluidic CMOS (imCMOS) technologies have attracted the attentions of various life-science applications. Owing to the seminal advances in microfludics and microelectronics, imCMOS is moving towards massively parallel, miniaturized, and label free platforms. The state-of-the-art DNA sequencing platform featuring millions of Ion-Selective Field Effect Transistors (ISFETs) has convincingly demonstrated the advantage of using standard microelectronic technologies, such as Complementary Metal Oxide Semiconductor (CMOS) processes. Similarly, many researchers addressed the challenge of developing imCMOS systems for monitoring cellular and molecular activities on a single chip. Due to the significant advantages of CMOS-based biological sensors and actuators, such as non-invasive long-term recordings, fast response and label free process, they have been widely applied in many biological and medical fields concerning the studying of the living-cell samples such as neural cell recording and stimulation, monitoring metabolic activity, cell manipulation, and extracellular pH monitoring. This Special Issue covers the recent advances in imCMOS research, including the design and implementation of CMOS chips, microfluidic packaging and biological experiments related to cellular and molecular biology.

Topics:

We invite investigators to contribute original research articles, as well as review articles, to this Special Issue. Potential topics include, but are not limited to:

  1. CMOS circuit design, modeling, simulation and implementation, post-CMOS processing for life science applications
  2. Microfluidic packaging of CMOS sensors
  3. CMOS sensor arrays
  4. CMOS capacitive sensors for cellular and molecularapplications
  5. CMOS optical sensors
  6. CMOS impedance sensors
  7. CMOS ISFET sensors
  8. CMOS cantilever sensors
  9. CMOS magnetic sensors
  10. CMOS nuclear magnetic resonance (NMR) sensors
  11. CMOS magnetic manipulators
  12. CMOS dielectrophoretic manipulator
  13. CMOS electrophoresis manipulators
  14. High throughput CMOS screening
  15. Lab-on-CMOS
  16. CMOS sensors and actuators for In-vitro neuronal recording
  17. CMOS sensors for drug screening
  18. CMOS sensors and actuators for cellular growth monitoring
  19. CMOS sensors and actuators for cellular viability analysis
  20. CMOS sensors and actuators for DNA sequencing
  21. CMOS sensors and actuators for tracking the proliferation of cancer cells
  22. CMOS sensors and actuators for microbiological applications
  23. CMOS sensors and actuators for genetic applications
  24. CMOS sensors and actuators for cancer biology
  25. CMOS sensors and actuators for tissue engineering applications
  26. CMOS sensors and actuators for environmental applications
  27. CMOS sensors and actuators for microbiological applications
  28. CMOS sensors and actuators for chemical applications
  29. CMOS sensors and actuators for biological laboratory automation

Dr. Ebrahim Ghafar-Zadeh
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • CMOS
  • Integrated circuit
  • Sensors
  • Actuators
  • Microfluidics
  • Lab-on-Chip
  • Biology
  • Chemistry
  • Bioengineering
  • Life science
  • Cell biology
  • Molecular biology
  • Drug discovery
  • Post-CMOS processing

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Published Papers (2 papers)

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Research

29 pages, 11614 KiB  
Article
Toward High Throughput Core-CBCM CMOS Capacitive Sensors for Life Science Applications: A Novel Current-Mode for High Dynamic Range Circuitry
by Saghi Forouhi, Rasoul Dehghani and Ebrahim Ghafar-Zadeh
Sensors 2018, 18(10), 3370; https://doi.org/10.3390/s18103370 - 9 Oct 2018
Cited by 12 | Viewed by 5715
Abstract
This paper proposes a novel charge-based Complementary Metal Oxide Semiconductor (CMOS) capacitive sensor for life science applications. Charge-based capacitance measurement (CBCM) has significantly attracted the attention of researchers for the design and implementation of high-precision CMOS capacitive biosensors. A conventional core-CBCM capacitive sensor [...] Read more.
This paper proposes a novel charge-based Complementary Metal Oxide Semiconductor (CMOS) capacitive sensor for life science applications. Charge-based capacitance measurement (CBCM) has significantly attracted the attention of researchers for the design and implementation of high-precision CMOS capacitive biosensors. A conventional core-CBCM capacitive sensor consists of a capacitance-to-voltage converter (CVC), followed by a voltage-to-digital converter. In spite of their high accuracy and low complexity, their input dynamic range (IDR) limits the advantages of core-CBCM capacitive sensors for most biological applications, including cellular monitoring. In this paper, after a brief review of core-CBCM capacitive sensors, we address this challenge by proposing a new current-mode core-CBCM design. In this design, we combine CBCM and current-controlled oscillator (CCO) structures to improve the IDR of the capacitive readout circuit. Using a 0.18 μm CMOS process, we demonstrate and discuss the Cadence simulation results to demonstrate the high performance of the proposed circuitry. Based on these results, the proposed circuit offers an IDR ranging from 873 aF to 70 fF with a resolution of about 10 aF. This CMOS capacitive sensor with such a wide IDR can be employed for monitoring cellular and molecular activities that are suitable for biological research and clinical purposes. Full article
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16 pages, 3751 KiB  
Article
SNDR Limits of Oscillator-Based Sensor Readout Circuits
by Fernando Cardes, Andres Quintero, Eric Gutierrez, Cesare Buffa, Andreas Wiesbauer and Luis Hernandez
Sensors 2018, 18(2), 445; https://doi.org/10.3390/s18020445 - 3 Feb 2018
Cited by 26 | Viewed by 7698
Abstract
This paper analyzes the influence of phase noise and distortion on the performance of oscillator-based sensor data acquisition systems. Circuit noise inherent to the oscillator circuit manifests as phase noise and limits the SNR. Moreover, oscillator nonlinearity generates distortion for large input signals. [...] Read more.
This paper analyzes the influence of phase noise and distortion on the performance of oscillator-based sensor data acquisition systems. Circuit noise inherent to the oscillator circuit manifests as phase noise and limits the SNR. Moreover, oscillator nonlinearity generates distortion for large input signals. Phase noise analysis of oscillators is well known in the literature, but the relationship between phase noise and the SNR of an oscillator-based sensor is not straightforward. This paper proposes a model to estimate the influence of phase noise in the performance of an oscillator-based system by reflecting the phase noise to the oscillator input. The proposed model is based on periodic steady-state analysis tools to predict the SNR of the oscillator. The accuracy of this model has been validated by both simulation and experiment in a 130 nm CMOS prototype. We also propose a method to estimate the SNDR and the dynamic range of an oscillator-based readout circuit that improves by more than one order of magnitude the simulation time compared to standard time domain simulations. This speed up enables the optimization and verification of this kind of systems with iterative algorithms. Full article
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