Recent advances in deformation-assisted microfluidic cell sorting technologies

Jingjing Sun, Xiwei Huang, Jin Chen, Rikui Xiang, Xiang Ke, Siru Lin, Weipeng Xuan, Shan Liu, Zhen Cao and Lingling Sun

Analyst, 2023, 148, 4922
DOI: 10.1039/D3AN01150J

Real-time fluorescence imaging flow cytometry enabled by motion deblurring and deep learning algorithms

Yiming Wang, Ziwei Huang, Xiaojie Wang, Fengrui Yang, Xuebiao Yao, Tingrui Pan, Baoqing Li and Jiaru Chu

Lab Chip, 2023, 23, 3615
DOI: 10.1039/D3LC00194F

Inertial microfluidics for high-throughput cell analysis and detection: a review

Zheng Zhou, Yao Chen, Shu Zhu, Linbo Liu, Zhonghua Ni and Nan Xiang

Analyst, 2021, 146, 6064
DOI: 10.1039/D1AN00983D

Optofluidic imaging meets deep learning: from merging to emerging

Dickson M. D. Siu, Kelvin C. M. Lee, Bob M. F. Chung, Justin S. J. Wong, Guoan Zheng and Kevin K. Tsia

Lab Chip, 2023, 23, 1011
DOI: 10.1039/D2LC00813K

Sensing morphogenesis of bone cells under microfluidic shear stress by holographic microscopy and automatic aberration compensation with deep learning

Wen Xiao, Lu Xin, Runyu Cao, Xintong Wu, Ran Tian, Leiping Che, Lianwen Sun, Pietro Ferraro and Feng Pan

Lab Chip, 2021, 21, 1385
DOI: 10.1039/D0LC01113D

Microfluidic flow cytometry for blood-based biomarker analysis

Yuxin Zhang, Ying Zhao, Tim Cole, Jiahao Zheng, Bayinqiaoge, Jinhong Guo and Shi-Yang Tang

Analyst, 2022, 147, 2895
DOI: 10.1039/D2AN00283C

Typing of acute leukemia by intelligent optical time-stretch imaging flow cytometry on a chip

Yueyun Weng, Hui Shen, Liye Mei, Li Liu, Yifan Yao, Rubing Li, Shubin Wei, Ruopeng Yan, Xiaolan Ruan, Du Wang, Yongchang Wei, Yunjie Deng, Yuqi Zhou, Tinghui Xiao, Keisuke Goda, Sheng Liu, Fuling Zhou and Cheng Lei

Lab Chip, 2023, 23, 1703
DOI: 10.1039/D2LC01048H

Label-free microfluidic cell sorting and detection for rapid blood analysis

Nan Lu, Hui Min Tay, Chayakorn Petchakup, Linwei He, Lingyan Gong, Kay Khine Maw, Sheng Yuan Leong, Wan Wei Lok, Hong Boon Ong, Ruya Guo, King Ho Holden Li and Han Wei Hou

Lab Chip, 2023, 23, 1226
DOI: 10.1039/D2LC00904H

High-throughput multimodal optofluidic biophysical imaging cytometry

Thiel Lee, Evelyn H. Y. Cheung, Kelvin C. M. Lee, Dickson M. D. Siu, Michelle C. K. Lo, Edmund Y. Lam, Ruchi Goswami, Salvatore Girardo, Kyoohyun Kim, Felix Reichel, Marketa Kubankova, Martin Kräter, Jochen Guck and Kevin K. Tsia

Lab Chip, 2025, 25, 5329
DOI: 10.1039/D5LC00381D

Deciphering impedance cytometry signals with neural networks

Federica Caselli, Riccardo Reale, Adele De Ninno, Daniel Spencer, Hywel Morgan and Paolo Bisegna

Lab Chip, 2022, 22, 1714
DOI: 10.1039/D2LC00028H

Review: tomographic imaging flow cytometry

Andreas Kleiber, Daniel Kraus, Thomas Henkel and Wolfgang Fritzsche

Lab Chip, 2021, 21, 3655
DOI: 10.1039/D1LC00533B

Dispersion-free inertial focusing (DIF) for high-yield polydisperse micro-particle filtration and analysis

Kelvin C. M. Lee, Bob M. F. Chung, Dickson M. D. Siu, Sam C. K. Ho, Daniel K. H. Ng and Kevin K. Tsia

Lab Chip, 2024, 24, 4182
DOI: 10.1039/D4LC00275J

Multiple Parallel Fusion Network for Predicting Protein Subcellular Localization from Stimulated Raman Scattering (SRS) Microscopy Images in Living Cells

Zhihao Wei, Wu Liu, Weiyong Yu, Xi Liu, Ruiqing Yan, Qiang Liu and Qianjin Guo

IJMS, 2022, 23, 10827
DOI: 10.3390/ijms231810827

High-throughput single-cell analysis of nanoparticle-cell interactions

Majood Haddad, Alex N. Frickenstein and Stefan Wilhelm

TrAC Trends in Analytical Chemistry, 2023, 166, 117172
DOI: 10.1016/j.trac.2023.117172

Automated Classification of Breast Cancer Cells Using High-Throughput Holographic Cytometry

Cindy X. Chen, Han Sang Park, Hillel Price and Adam Wax

Front. Phys., 2021, 9
DOI: 10.3389/fphy.2021.759142

High-content image analysis to study phenotypic heterogeneity in endothelial cell monolayers

Francois Chesnais, Jonas Hue, Errin Roy, Marco Branco, Ruby Stokes, Aize Pellon, Juliette Le Caillec, Eyad Elbahtety, Matteo Battilocchi, Davide Danovi and Lorenzo Veschini

Journal of Cell Science, 2022, 135
DOI: 10.1242/jcs.259104

Optofluidic time‐stretch imaging flow cytometry with a real‐time storage rate beyond 5.9 GB/s

Dan Hou, Jiehua Zhou, Ruidong Xiao, Kaining Yang, Yan Ding, Du Wang, Guoqiang Wu and Cheng Lei

Cytometry Pt A, 2024, 105, 713
DOI: 10.1002/cyto.a.24854

Label-free active single-cell encapsulation enabled by microvalve-based on-demand droplet generation and real-time image processing

Yiming Wang, Yousu Wang, Xiaojie Wang, Wei Sun, Fengrui Yang, Xuebiao Yao, Tingrui Pan, Baoqing Li and Jiaru Chu

Talanta, 2024, 276, 126299
DOI: 10.1016/j.talanta.2024.126299

Touchable cell biophysics property recognition platforms enable multifunctional blood smart health care

Longfei Chen, Yantong Liu, Hongshan Xu, Linlu Ma, Yifan Wang, Le Yu, Fang Wang, Jiaomeng Zhu, Xuejia Hu, Kezhen Yi, Yi Yang, Hui Shen, Fuling Zhou, Xiaoqi Gao, Yanxiang Cheng, Long Bai, Yongwei Duan, Fubing Wang and Yimin Zhu

Microsyst Nanoeng, 2021, 7
DOI: 10.1038/s41378-021-00329-z

PROPOSAL OF RATIOMETRIC INDEX FOR THE DIFFERENTIATION OF CELL PAINTED SUBORGANELLES USING DEEP CNN-BASED SEMANTIC SEGMENTATION

SREELEKSHMI PALLIYIL SREEKUMAR, ROHINI PALANISAMY and RAMAKRISHNAN SWAMINATHAN

J. Mech. Med. Biol., 2023, 23
DOI: 10.1142/S0219519423400365

Multimodal FACED imaging for large-scale single-cell morphological profiling

Gwinky G. K. Yip, Michelle C. K. Lo, Wenwei Yan, Kelvin C. M. Lee, Queenie T. K. Lai, Kenneth K. Y. Wong and Kevin K. Tsia

APL Photonics, 2021, 6
DOI: 10.1063/5.0054714

High-speed laser-scanning biological microscopy using FACED

Queenie T. K. Lai, Gwinky G. K. Yip, Jianglai Wu, Justin S. J. Wong, Michelle C. K. Lo, Kelvin C. M. Lee, Tony T. H. D. Le, Hayden K. H. So, Na Ji and Kevin K. Tsia

Nat Protoc, 2021, 16, 4227
DOI: 10.1038/s41596-021-00576-4

Morphological profiling by high-throughput single-cell biophysical fractometry

Ziqi Zhang, Kelvin C. M. Lee, Dickson M. D. Siu, Michelle C. K. Lo, Queenie T. K. Lai, Edmund Y. Lam and Kevin K. Tsia

Commun Biol, 2023, 6
DOI: 10.1038/s42003-023-04839-6

Advancing Healthcare: Synergizing Biosensors and Machine Learning for Early Cancer Diagnosis

Mahtab Kokabi, Muhammad Nabeel Tahir, Darshan Singh and Mehdi Javanmard

Biosensors, 2023, 13, 884
DOI: 10.3390/bios13090884

Applications and Techniques for Fast Machine Learning in Science

Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belina von Krosigk, Shen Wang and Thomas K. Warburton

Front. Big Data, 2022, 5
DOI: 10.3389/fdata.2022.787421

Information‐Distilled Generative Label‐Free Morphological Profiling Encodes Cellular Heterogeneity

Michelle C. K. Lo, Dickson M. D. Siu, Kelvin C. M. Lee, Justin S. J. Wong, Maximus C. F. Yeung, Michael K. Y. Hsin, James C. M. Ho and Kevin K. Tsia

Advanced Science, 2024, 11
DOI: 10.1002/advs.202307591

Impedance flow cytometry empowered by ConvNet algorithm to differentiate bladder cancer cells based on electro-mechanical characteristics

Shuaihua Zhang, Zhiwen Zheng, Yongqi Chen, Zhihong Zhang and Ziyu Han

Nanotechnology and Precision Engineering, 2025, 8
DOI: 10.1063/10.0034711

Microfluidic methods for cell separation and subsequent analysis

Tianyou Chen, Chunxia Huang, Yanran Wang and Jing Wu

Chinese Chemical Letters, 2022, 33, 1180
DOI: 10.1016/j.cclet.2021.07.067

Microfluidics with Machine Learning for Biophysical Characterization of Cells

Hyungkook Jeon and Jongyoon Han

Annual Review of Analytical Chemistry, 2025, 18, 447
DOI: 10.1146/annurev-anchem-061622-025021

Machine learning for image-based cell classification, detection, and segmentation in microfluidic biosensors: A computer vision perspective

Kuo Chen, Jingyuan Tang, Ling Wen, Zhulin Ma, Shan Liu and Diangeng Li

Microchemical Journal, 2025, 215, 114357
DOI: 10.1016/j.microc.2025.114357

Artificial intelligence and biosensors: Transforming cancer diagnostics

Maryam Althobiti, Trinh Thi Trang Nhung, Swati Verma, Raef R. Albugami and Rajender Kumar

Medicine in Novel Technology and Devices, 2025, 27, 100378
DOI: 10.1016/j.medntd.2025.100378

Molecular determinants of intrinsic cellular stiffness in health and disease

Zezhuo Su, Zhenlin Chen, Kun Ma, Huaying Chen and Joshua W. K. Ho

Biophys Rev, 2022, 14, 1197
DOI: 10.1007/s12551-022-00997-9

高速光流控成像研究进展（特邀）

肖廷辉 Xiao Tinghui, 彭静 Peng Jing, 李柘黄 Li Zhehuang, 罗素霞 Luo Suxia and 陈述 Chen Shu

Laser Optoelectron. Prog., 2024, 61, 0211015
DOI: 10.3788/LOP232322

Non‐Invasive and Minute‐Frequency 3D Tomographic Imaging Enabling Long‐Term Spatiotemporal Observation of Single Cell Fate

Fei Liang, Junwen Zhu, Huichao Chai, Yongxiang Feng, Peng Zhao, Shaofeng Liu, Yuanmu Yang, Linhan Lin, Liangcai Cao and Wenhui Wang

Small Methods, 2023, 7
DOI: 10.1002/smtd.202201492

Spatial microfluidic holographic integrated platform for label-free and high-dimensional analysis of cancer heterogeneity

Jiayi Shi, Huijing Teng, Ziyi Zhang, Yanping Liu, Dan Gao, Jianglei Di, Zijian Yang, Ping Su, Ying Tan and Jianshe Ma

Nat Commun, 2025, 16
DOI: 10.1038/s41467-025-60897-w

Pixel-level multimodal fusion deep networks for predicting subcellular organelle localization from label-free live-cell imaging

Zhihao Wei, Xi Liu, Ruiqing Yan, Guocheng Sun, Weiyong Yu, Qiang Liu and Qianjin Guo

Front. Genet., 2022, 13
DOI: 10.3389/fgene.2022.1002327

Generalized and scalable trajectory inference in single-cell omics data with VIA

Shobana V. Stassen, Gwinky G. K. Yip, Kenneth K. Y. Wong, Joshua W. K. Ho and Kevin K. Tsia

Nat Commun, 2021, 12
DOI: 10.1038/s41467-021-25773-3

A Unified Framework for Photonic Time‐Stretch Systems

Yiming Zhou, Jacky C. K. Chan and Bahram Jalali

Laser & Photonics Reviews, 2022, 16
DOI: 10.1002/lpor.202100524

Trends and Potential of Machine Learning and Deep Learning in Drug Study at Single-Cell Level

Ren Qi and Quan Zou

Research, 2023, 6
DOI: 10.34133/research.0050

Toward Deep Biophysical Cytometry: Prospects and Challenges

Kelvin C.M. Lee, Jochen Guck, Keisuke Goda and Kevin K. Tsia

Trends in Biotechnology, 2021, 39, 1249
DOI: 10.1016/j.tibtech.2021.03.006

Deepometry, a framework for applying supervised and weakly supervised deep learning to imaging cytometry

Minh Doan, Claire Barnes, Claire McQuin, Juan C. Caicedo, Allen Goodman, Anne E. Carpenter and Paul Rees

Nat Protoc, 2021, 16, 3572
DOI: 10.1038/s41596-021-00549-7