Machine learning implementation strategy in imaging and impedance flow cytometry.

IF 2.6 4区 工程技术 Q2 BIOCHEMICAL RESEARCH METHODS Biomicrofluidics Pub Date : 2023-10-27 eCollection Date: 2023-09-01 DOI:10.1063/5.0166595
Trisna Julian, Tao Tang, Yoichiroh Hosokawa, Yaxiaer Yalikun
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Abstract

Imaging and impedance flow cytometry is a label-free technique that has shown promise as a potential replacement for standard flow cytometry. This is due to its ability to provide rich information and archive high-throughput analysis. Recently, significant efforts have been made to leverage machine learning for processing the abundant data generated by those techniques, enabling rapid and accurate analysis. Harnessing the power of machine learning, imaging and impedance flow cytometry has demonstrated its capability to address various complex phenotyping scenarios. Herein, we present a comprehensive overview of the detailed strategies for implementing machine learning in imaging and impedance flow cytometry. We initiate the discussion by outlining the commonly employed setup to acquire the data (i.e., image or signal) from the cell. Subsequently, we delve into the necessary processes for extracting features from the acquired image or signal data. Finally, we discuss how these features can be utilized for cell phenotyping through the application of machine learning algorithms. Furthermore, we discuss the existing challenges and provide insights for future perspectives of intelligent imaging and impedance flow cytometry.

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成像和阻抗流式细胞术中的机器学习实现策略。
成像和阻抗流式细胞术是一种无标记技术,有望取代标准流式细胞仪。这是由于它能够提供丰富的信息并归档高通量分析。最近,人们做出了重大努力,利用机器学习来处理这些技术产生的丰富数据,从而实现快速准确的分析。利用机器学习、成像和阻抗流式细胞术的力量,已经证明了其解决各种复杂表型场景的能力。在此,我们全面概述了在成像和阻抗流式细胞术中实现机器学习的详细策略。我们通过概述从细胞中获取数据(即图像或信号)的常用设置来启动讨论。随后,我们深入研究了从采集的图像或信号数据中提取特征的必要过程。最后,我们讨论了如何通过应用机器学习算法将这些特征用于细胞表型。此外,我们讨论了现有的挑战,并为智能成像和阻抗流式细胞术的未来前景提供了见解。
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来源期刊
Biomicrofluidics
Biomicrofluidics 生物-纳米科技
CiteScore
5.80
自引率
3.10%
发文量
68
审稿时长
1.3 months
期刊介绍: Biomicrofluidics (BMF) is an online-only journal published by AIP Publishing to rapidly disseminate research in fundamental physicochemical mechanisms associated with microfluidic and nanofluidic phenomena. BMF also publishes research in unique microfluidic and nanofluidic techniques for diagnostic, medical, biological, pharmaceutical, environmental, and chemical applications. BMF offers quick publication, multimedia capability, and worldwide circulation among academic, national, and industrial laboratories. With a primary focus on high-quality original research articles, BMF also organizes special sections that help explain and define specific challenges unique to the interdisciplinary field of biomicrofluidics. Microfluidic and nanofluidic actuation (electrokinetics, acoustofluidics, optofluidics, capillary) Liquid Biopsy (microRNA profiling, circulating tumor cell isolation, exosome isolation, circulating tumor DNA quantification) Cell sorting, manipulation, and transfection (di/electrophoresis, magnetic beads, optical traps, electroporation) Molecular Separation and Concentration (isotachophoresis, concentration polarization, di/electrophoresis, magnetic beads, nanoparticles) Cell culture and analysis(single cell assays, stimuli response, stem cell transfection) Genomic and proteomic analysis (rapid gene sequencing, DNA/protein/carbohydrate arrays) Biosensors (immuno-assay, nucleic acid fluorescent assay, colorimetric assay, enzyme amplification, plasmonic and Raman nano-reporter, molecular beacon, FRET, aptamer, nanopore, optical fibers) Biophysical transport and characterization (DNA, single protein, ion channel and membrane dynamics, cell motility and communication mechanisms, electrophysiology, patch clamping). Etc...
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