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Li SS, Xue CD, Li YJ, Chen XM, Zhao Y, Qin KR. Microfluidic characterization of single-cell biophysical properties and the applications in cancer diagnosis. Electrophoresis 2024; 45:1212-1232. [PMID: 37909658 DOI: 10.1002/elps.202300177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 09/25/2023] [Accepted: 10/16/2023] [Indexed: 11/03/2023]
Abstract
Single-cell biophysical properties play a crucial role in regulating cellular physiological states and functions, demonstrating significant potential in the fields of life sciences and clinical diagnostics. Therefore, over the last few decades, researchers have developed various detection tools to explore the relationship between the biophysical changes of biological cells and human diseases. With the rapid advancement of modern microfabrication technology, microfluidic devices have quickly emerged as a promising platform for single-cell analysis offering advantages including high-throughput, exceptional precision, and ease of manipulation. Consequently, this paper provides an overview of the recent advances in microfluidic analysis and detection systems for single-cell biophysical properties and their applications in the field of cancer. The working principles and latest research progress of single-cell biophysical property detection are first analyzed, highlighting the significance of electrical and mechanical properties. The development of data acquisition and processing methods for real-time, high-throughput, and practical applications are then discussed. Furthermore, the differences in biophysical properties between tumor and normal cells are outlined, illustrating the potential for utilizing single-cell biophysical properties for tumor cell identification, classification, and drug response assessment. Lastly, we summarize the limitations of existing microfluidic analysis and detection systems in single-cell biophysical properties, while also pointing out the prospects and future directions of their applications in cancer diagnosis and treatment.
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Affiliation(s)
- Shan-Shan Li
- School of Mechanical Engineering, Dalian University of Technology, Dalian, Liaoning, P. R. China
| | - Chun-Dong Xue
- School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, Liaoning, P. R. China
| | - Yong-Jiang Li
- School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, Liaoning, P. R. China
| | - Xiao-Ming Chen
- School of Optoelectronic Engineering and Instrumentation Science, Dalian University of Technology, Dalian, Liaoning, P. R. China
| | - Yan Zhao
- Department of Stomach Surgery, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning, P. R. China
| | - Kai-Rong Qin
- School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, Liaoning, P. R. China
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2
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Borenstein JT, Cummins G, Dutta A, Hamad E, Hughes MP, Jiang X, Lee HH, Lei KF, Tang XS, Zheng Y, Chen J. Bionanotechnology and bioMEMS (BNM): state-of-the-art applications, opportunities, and challenges. LAB ON A CHIP 2023; 23:4928-4949. [PMID: 37916434 DOI: 10.1039/d3lc00296a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2023]
Abstract
The development of micro- and nanotechnology for biomedical applications has defined the cutting edge of medical technology for over three decades, as advancements in fabrication technology developed originally in the semiconductor industry have been applied to solving ever-more complex problems in medicine and biology. These technologies are ideally suited to interfacing with life sciences, since they are on the scale lengths as cells (microns) and biomacromolecules (nanometers). In this paper, we review the state of the art in bionanotechnology and bioMEMS (collectively BNM), including developments and challenges in the areas of BNM, such as microfluidic organ-on-chip devices, oral drug delivery, emerging technologies for managing infectious diseases, 3D printed microfluidic devices, AC electrokinetics, flexible MEMS devices, implantable microdevices, paper-based microfluidic platforms for cellular analysis, and wearable sensors for point-of-care testing.
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Affiliation(s)
| | - Gerard Cummins
- School of Engineering, University of Birmingham, Edgbaston, B15 2TT, UK.
| | - Abhishek Dutta
- Department of Electrical & Computer Engineering, University of Connecticut, USA.
| | - Eyad Hamad
- Biomedical Engineering Department, School of Applied Medical Sciences, German Jordanian University, Amman, Jordan.
| | - Michael Pycraft Hughes
- Department of Biomedical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates.
| | - Xingyu Jiang
- Department of Biomedical Engineering, Southern University of Science and Technology, China.
| | - Hyowon Hugh Lee
- Weldon School of Biomedical Engineering, Center for Implantable Devices, Purdue University, West Lafayette, IN, USA.
| | | | | | | | - Jie Chen
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.
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3
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Zhu J, Feng Y, Chai H, Liang F, Cheng Z, Wang W. Performance-enhanced clogging-free viscous sheath constriction impedance flow cytometry. LAB ON A CHIP 2023; 23:2531-2539. [PMID: 37082895 DOI: 10.1039/d3lc00178d] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
As a label-free and high-throughput single cell analysis platform, impedance flow cytometry (IFC) suffers from clogging caused by a narrow microchannel as mechanical constriction (MC). Current sheath constriction (SC) solutions lack systematic evaluation of the performance and proper guidelines for the sheath fluid. Herein, we hypothesize that the viscosity of the non-conductive liquid is the key to the performance of SC, and propose to employ non-conductive viscous sheath flow in SC to unlock the tradeoff between sensitivity and throughput, while ensuring measurement accuracy. By placing MC and SC in series in the same microfluidic chip, we established an evaluation platform to prove the hypothesis. Through modeling analysis and experiments, we confirmed the accuracy (error < 1.60% ± 4.71%) of SC w.r.t. MC, and demonstrated that viscous non-conductive PEG solution achieved an improved sensitivity (7.92×) and signal-to-noise ratio (1.42×) in impedance measurement, with the accuracy maintained and free of clogging. Viscous SC IFC also shows satisfactory ability to distinguish different types of cancer cells and different subtypes of human breast cancer cells. It is envisioned that viscous SC IFC paves the way for IFC to be really usable in practice with clogging-free, accurate, and sensitive performance.
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Affiliation(s)
- Junwen Zhu
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, P. R. China.
| | - Yongxiang Feng
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, P. R. China.
| | - Huichao Chai
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, P. R. China.
| | - Fei Liang
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, P. R. China.
| | - Zhen Cheng
- Department of Automation, Tsinghua University, Beijing, P. R. China
| | - Wenhui Wang
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, P. R. China.
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4
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Liu X, Tang T, Yi PW, Yuan Y, Lei C, Li M, Tanaka Y, Hosokawa Y, Yalikun Y. Identification of Single Yeast Budding Using Impedance Cytometry with a Narrow Electrode Span. SENSORS (BASEL, SWITZERLAND) 2022; 22:s22207743. [PMID: 36298094 PMCID: PMC9609181 DOI: 10.3390/s22207743] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/10/2022] [Accepted: 10/11/2022] [Indexed: 06/10/2023]
Abstract
Impedance cytometry is wildly used in single-cell detection, and its sensitivity is essential for determining the status of single cells. In this work, we focus on the effect of electrode gap on detection sensitivity. Through comparing the electrode span of 1 µm and 5 µm, our work shows that narrowing the electrode span could greatly improve detection sensitivity. The mechanism underlying the sensitivity improvement was analyzed via numerical simulation. The small electrode gap (1 µm) allows the electric field to concentrate near the detection area, resulting in a high sensitivity for tiny particles. This finding is also verified with the mixture suspension of 1 µm and 3 µm polystyrene beads. As a result, the electrodes with 1 µm gap can detect more 1 µm beads in the suspension than electrodes with 5 µm gap. Additionally, for single yeast cells analysis, it is found that impedance cytometry with 1 µm electrodes gap can easily distinguish budding yeast cells, which cannot be realized by the impedance cytometry with 5 µm electrodes gap. All experimental results support that narrowing the electrode gap is necessary for tiny particle detection, which is an important step in the development of submicron and nanoscale impedance cytometry.
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Affiliation(s)
- Xun Liu
- Division of Materials Science, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma 630-0192, Nara, Japan
| | - Tao Tang
- Division of Materials Science, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma 630-0192, Nara, Japan
| | - Po-Wei Yi
- Division of Materials Science, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma 630-0192, Nara, Japan
- Department of Applied Chemistry, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan
| | - Yapeng Yuan
- Center for Biosystems Dynamics Research (BDR), RIKEN, 1-3 Yamadaoka, Suita 565-0871, Osaka, Japan
| | - Cheng Lei
- The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China
| | - Ming Li
- School of Engineering, Macquarie University, Sydney 2109, Australia
| | - Yo Tanaka
- Center for Biosystems Dynamics Research (BDR), RIKEN, 1-3 Yamadaoka, Suita 565-0871, Osaka, Japan
| | - Yoichiroh Hosokawa
- Division of Materials Science, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma 630-0192, Nara, Japan
| | - Yaxiaer Yalikun
- Division of Materials Science, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma 630-0192, Nara, Japan
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5
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Novel bioorthogonal reaction-mediated particle counting sensing platform using phage for rapid detection of Salmonella. Anal Chim Acta 2022; 1236:340564. [DOI: 10.1016/j.aca.2022.340564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 10/18/2022] [Accepted: 10/27/2022] [Indexed: 11/21/2022]
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6
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Nami M, Han P, Hanlon D, Tatsuno K, Wei B, Sobolev O, Pitruzzello M, Vassall A, Yosinski S, Edelson R, Reed M. Rapid Screen for Antiviral T-Cell Immunity with Nanowire Electrochemical Biosensors. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2109661. [PMID: 35165959 DOI: 10.1002/adma.202109661] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Revised: 02/08/2022] [Indexed: 06/14/2023]
Abstract
The ability to rapidly assess and monitor patient immune responses is critical for clinical diagnostics, vaccine design, and fundamental investigations into the presence or generation of protective immunity against infectious diseases. Recently, findings on the limits of antibody-based protection provided by B-cells have highlighted the importance of engaging pathogen-specific T-cells for long-lasting and broad protection against viruses and their emergent variants such as in SARS-CoV-2. However, low-cost and point-of-care tools for detecting engagement of T-cell immunity in patients are conspicuously lacking in ongoing efforts to assess and control population-wide disease risk. Currently available tools for human T-cell analysis are time and resource-intensive. Using multichannel silicon-nanowire field-effect transistors compatible with complementary metal-oxide-semiconductor, a device designed for rapid and label-free detection of human T-cell immune responses is developed. The generalizability of this approach is demonstrated by measuring T-cell responses against melanoma antigen MART1, common and seasonal viruses CMV, EBV, flu, as well as emergent pandemic coronavirus, SARS-CoV-2. Further, this device provides a modular and translational platform for optimizing vaccine formulations and combinations, offering quick and quantitative readouts for acquisition and persistence of T-cell immunity against variant-driven pathogens such as flu and pandemic SARS-CoV-2.
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Affiliation(s)
- Mohsen Nami
- Department of Electrical Engineering, School of Engineering and Applied Sciences, Yale University, 15 Prospect Street, New Haven, CT, 06511, USA
- Department of Neurosurgery, School of Medicine, Yale University, 333 Cedar St, New Haven, CT, 06510, USA
| | - Patrick Han
- Department of Dermatology, School of Medicine, Yale University, 333 Cedar St, New Haven, CT, 06510, USA
- Department of Immunobiology, School of Medicine, Yale University, 333 Cedar St, New Haven, CT, 06510, USA
| | - Douglas Hanlon
- Department of Dermatology, School of Medicine, Yale University, 333 Cedar St, New Haven, CT, 06510, USA
| | - Kazuki Tatsuno
- Department of Dermatology, School of Medicine, Yale University, 333 Cedar St, New Haven, CT, 06510, USA
| | - Brian Wei
- Department of Dermatology, School of Medicine, Yale University, 333 Cedar St, New Haven, CT, 06510, USA
| | - Olga Sobolev
- Department of Dermatology, School of Medicine, Yale University, 333 Cedar St, New Haven, CT, 06510, USA
| | - Mary Pitruzzello
- Department of Dermatology, School of Medicine, Yale University, 333 Cedar St, New Haven, CT, 06510, USA
| | - Aaron Vassall
- Department of Dermatology, School of Medicine, Yale University, 333 Cedar St, New Haven, CT, 06510, USA
| | - Shari Yosinski
- Department of Electrical Engineering, School of Engineering and Applied Sciences, Yale University, 15 Prospect Street, New Haven, CT, 06511, USA
| | - Richard Edelson
- Department of Dermatology, School of Medicine, Yale University, 333 Cedar St, New Haven, CT, 06510, USA
| | - Mark Reed
- Department of Electrical Engineering, School of Engineering and Applied Sciences, Yale University, 15 Prospect Street, New Haven, CT, 06511, USA
- Department of Applied Physics, School of Engineering and Applied Sciences, Yale University, 15 Prospect Street, New Haven, CT, 06511, USA
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7
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Guo J, Zheng X, Qin T, Lv M, Zhang W, Song X, Qiu H, Hu L, Zhang L, Zhou D, Sun Y, Yang W. An experimental method for efficiently evaluating the size-resolved sampling efficiency of liquid-absorption aerosol samplers. Sci Rep 2022; 12:4745. [PMID: 35304534 PMCID: PMC8932469 DOI: 10.1038/s41598-022-08718-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 03/11/2022] [Indexed: 11/13/2022] Open
Abstract
Aerosol samplers are critical tools for studying indoor and outdoor aerosols. Development and evaluation of samplers is often labor-intensive and time-consuming due to the need to use monodisperse aerosols spanning a range of sizes. This study develops a rapid experimental methodology using polydisperse solid aerosols to evaluate size-resolved aerosol-to-aerosol (AtoA) and aerosol-to-hydrosol (AtoH) sampling efficiencies. Arizona Test Dust (diameter 0.5-20 µm) was generated and dispersed into an aerosol test chamber and two candidate samplers were tested. For the AtoA test, aerosols upstream and downstream of a sampler were measured using an online aerodynamic particle sizer. For the AtoH test, aerosols collected in sampling medium were mixed with a reference sample and then measured by the laser diffraction method. The experimental methodology were validated as an impressive time-saving procedure, with reasonable spatial uniformity and time stability of aerosols in the test chamber and an acceptable accuracy of absolute mass quantification of collected particles. Evaluation results showed that the AGI-30 and the BioSampler sampler had similar size-resolved sampling efficiencies and that efficiencies decreased with decreasing sampling flow rate. The combined evaluation of AtoA and AtoH efficiency provided more comprehensive performance indicators than either test alone. The experimental methodology presented here can facilitate the design and choice of aerosol sampler.
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Affiliation(s)
- Jianshu Guo
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Xinying Zheng
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Tongtong Qin
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
- Laboratory Animal Center, Academy of Military Medical Science, Beijing, China
| | - Meng Lv
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Wei Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Xiaolin Song
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Hongying Qiu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Lingfei Hu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Lili Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Dongsheng Zhou
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Yansong Sun
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China.
| | - Wenhui Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China.
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8
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Menze L, Duarte PA, Haddon L, Chu M, Chen J. Selective Single-Cell Sorting Using a Multisectorial Electroactive Nanowell Platform. ACS NANO 2022; 16:211-220. [PMID: 34559518 DOI: 10.1021/acsnano.1c05668] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Current approaches in targeted patient treatments often require the rapid isolation of specific rare target cells. Stream-based dielectrophoresis (DEP) based cell sorters have the limitation that the maximum number of sortable cell types is equivalent to the number of output channels, which makes upscaling to a higher number of different cell types technically challenging. Here, we present a microfluidic platform for selective single-cell sorting that bypasses this limitation. The platform consists of 10 000 nanoliter wells which are placed on top of interdigitated electrodes (IDEs) that facilitate dielectrophoresis-driven capture of cells. By use of a multisectorial design formed by 10 individually addressable IDE structures, our platform can capture a large number of different cell types. The sectorial approach allows for fast and straightforward modification to sort complex samples as different cell types are captured in different sectors and therefore removes the need for individual output channels per cell type. Experimental results obtained with a mixed sample of benign (MCF-10A) and malignant (MDA-MB-231) breast cells showed a target to nontarget sorting accuracy of over 95%. We envision that the high accuracy of our platform, in addition to its versatility and simplicity, will aid clinical environments where reliable sorting of varying complex samples is essential.
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Affiliation(s)
- Lukas Menze
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta T6G 1H9, Canada
| | - Pedro A Duarte
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta T6G 1H9, Canada
| | - Lacey Haddon
- Department of Oncology, University of Alberta, Edmonton, Alberta T6G 1H9, Canada
| | - Michael Chu
- Department of Oncology, University of Alberta, Edmonton, Alberta T6G 1H9, Canada
| | - Jie Chen
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta T6G 1H9, Canada
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9
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Feng Y, Cheng Z, Chai H, He W, Huang L, Wang W. Neural network-enhanced real-time impedance flow cytometry for single-cell intrinsic characterization. LAB ON A CHIP 2022; 22:240-249. [PMID: 34849522 DOI: 10.1039/d1lc00755f] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Single-cell impedance flow cytometry (IFC) is emerging as a label-free and non-invasive method for characterizing the electrical properties and revealing sample heterogeneity. At present, most IFC studies utilize phenomenological parameters (e.g., impedance amplitude, phase and opacity) to characterize single cells instead of intrinsic biophysical metrics (e.g., radius r, cytoplasm conductivity σi and specific membrane capacitance Csm). Intrinsic parameters are normally calculated off-line by time-consuming model-fitting methods. Here, we propose to employ neural network (NN)-enhanced IFC to achieve both real-time single-cell intrinsic characterization and intrinsic parameter-based cell classification at high throughput. Three intrinsic parameters (r, σi and Csm) can be obtained online and in real-time via a trained NN at 0.3 ms per single-cell event, achieving significant improvement in calculation speed. Experiments involving four cancer cells and one lymphocyte cell demonstrated 91.5% classification accuracy in the cell type for a test group of 9751 cell samples. By performing a viability assay, we provide evidence that the IFC test per se would not substantially affect the cell property. We envision that the NN-enhanced real-time IFC will provide a new platform for high-throughput, real-time and online cell intrinsic electrical characterization.
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Affiliation(s)
- Yongxiang Feng
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, China.
| | - Zhen Cheng
- Department of Automation, Tsinghua University, Beijing, China
| | - Huichao Chai
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, China.
| | - Weihua He
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, China.
| | - Liang Huang
- Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, School of Instrument Science and Optoelectronics Engineering, Hefei University of Technology, Hefei, Anhui, China
| | - Wenhui Wang
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, China.
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10
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Yan J, Wang C, Fu Y, Guo J, Guo J. 3D printed microfluidic Coulter counter for blood cell analysis. Analyst 2022; 147:3225-3233. [DOI: 10.1039/d2an00633b] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Schematic of the Coulter principle of the analysis box.
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Affiliation(s)
- Jiasheng Yan
- University of Electronic Science and Technology of China, Chengdu, China
| | - Chuang Wang
- University of Electronic Science and Technology of China, Chengdu, China
| | - Yusheng Fu
- University of Electronic Science and Technology of China, Chengdu, China
| | - Jiuchuan Guo
- University of Electronic Science and Technology of China, Chengdu, China
| | - Jinhong Guo
- University of Electronic Science and Technology of China, Chengdu, China
- School of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
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11
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Wang C, Liu M, Wang Z, Li S, Deng Y, He N. Point-of-care diagnostics for infectious diseases: From methods to devices. NANO TODAY 2021; 37:101092. [PMID: 33584847 PMCID: PMC7864790 DOI: 10.1016/j.nantod.2021.101092] [Citation(s) in RCA: 216] [Impact Index Per Article: 72.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Revised: 01/22/2021] [Accepted: 01/23/2021] [Indexed: 05/04/2023]
Abstract
The current widespread of COVID-19 all over the world, which is caused by SARS-CoV-2 virus, has again emphasized the importance of development of point-of-care (POC) diagnostics for timely prevention and control of the pandemic. Compared with labor- and time-consuming traditional diagnostic methods, POC diagnostics exhibit several advantages such as faster diagnostic speed, better sensitivity and specificity, lower cost, higher efficiency and ability of on-site detection. To achieve POC diagnostics, developing POC detection methods and correlated POC devices is the key and should be given top priority. The fast development of microfluidics, micro electro-mechanical systems (MEMS) technology, nanotechnology and materials science, have benefited the production of a series of portable, miniaturized, low cost and highly integrated POC devices for POC diagnostics of various infectious diseases. In this review, various POC detection methods for the diagnosis of infectious diseases, including electrochemical biosensors, fluorescence biosensors, surface-enhanced Raman scattering (SERS)-based biosensors, colorimetric biosensors, chemiluminiscence biosensors, surface plasmon resonance (SPR)-based biosensors, and magnetic biosensors, were first summarized. Then, recent progresses in the development of POC devices including lab-on-a-chip (LOC) devices, lab-on-a-disc (LOAD) devices, microfluidic paper-based analytical devices (μPADs), lateral flow devices, miniaturized PCR devices, and isothermal nucleic acid amplification (INAA) devices, were systematically discussed. Finally, the challenges and future perspectives for the design and development of POC detection methods and correlated devices were presented. The ultimate goal of this review is to provide new insights and directions for the future development of POC diagnostics for the management of infectious diseases and contribute to the prevention and control of infectious pandemics like COVID-19.
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Affiliation(s)
- Chao Wang
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, PR China
- Department of Biomedical Engineering, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, Jiangsu, PR China
| | - Mei Liu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, PR China
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, PR China
| | - Zhifei Wang
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, PR China
| | - Song Li
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, PR China
| | - Yan Deng
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, PR China
| | - Nongyue He
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, PR China
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, PR China
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