Fourier-domain-compressed optical time-stretch quantitative phase imaging flow cytometry
作者机构：Institute of Technological SciencesWuhan University School of Power and Mechanical EngineeringWuhan University Department of Thoracic SurgeryRenmin HospitalWuhan University Department of HematologyZhongnan HospitalWuhan University Department of Thyroid and Breast SurgeryZhongnan HospitalWuhan University Department of Radiation and Medical OncologyZhongnan HospitalWuhan University School of Computer ScienceHubei University of Technology Reproductive Medical CenterRenmin HospitalWuhan University Suzhou Institute of Wuhan University Shenzhen Institute of Wuhan University
出 版 物：《Photonics Research》 (光子学研究)
年 卷 期：2024年第12卷第8期
页 面：1627-1639页
核心收录：
学科分类：0710[理学-生物学] 07[理学] 08[工学] 071009[理学-细胞生物学] 09[农学] 080203[工学-机械设计及理论] 0901[农学-作物学] 0802[工学-机械工程] 090102[农学-作物遗传育种]
基 金：National Key Research and Development Program of China (2023YFF0723300) Fundamental Research Funds for the Central Universities (2042023kf0105, 2042024kf0003,2042024kf1010) Science Fund for Distinguished Young Scholars of Hubei Province (2021CFA042) Natural Science Foundation of Hubei Province (2023AFB133) National Natural Science Foundation of China (12374295, 62075200) Interdisciplinary Innovative Talents Foundation from Renmin Hospital of Wuhan University (JCRCYR-2022-006) Jiangsu Science and Technology Program (BK20221257) Shenzhen Science and Technology Program (JCYJ20220530140601003,JCYJ20230807090207014) Translational Medicine and Multidisciplinary Research Project of Zhongnan Hospital of Wuhan University (ZNJC202217)
主 题：Image sensors Imaging systems Imaging techniques Phase imaging Refractive index Spatial resolution
摘 要：Optical time-stretch (OTS) imaging flow cytometry offers a promising solution for high-throughput and highprecision cell analysis due to its capabilities of high-speed, high-quality, and continuous imaging. Compressed sensing (CS) makes it practically applicable by significantly reducing the data volume while maintaining its highspeed and high-quality imaging properties. To enrich the information of the images acquired with CS-equipped OTS imaging flow cytometry, in this work we propose and experimentally demonstrate Fourier-domaincompressed OTS quantitative phase imaging flow cytometry. It is capable of acquiring intensity and quantitative phase images of cells simultaneously from the compressed data. To evaluate the performance of our method, static microparticles and a corn root cross section are experimentally measured under various compression ***, to show how our method can be applied in practice, we utilize it in the drug response analysis of breast cancer cells. Experimental results show that our method can acquire high-quality intensity and quantitative phase images of flowing cells at a flowing speed of 1 m/s and a compression ratio of 30%. Combined with machine-learning-based image analysis, it can distinguish drug-treated and drug-untreated cells with an accuracy of over 95%. We believe our method can facilitate cell analysis in both scientific research and clinical settings where both high-throughput and high-content cell analysis is required.
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