{"title":"Dual-View Transport of Intensity Phase Imaging-Based Flow Cytometry for Label-Free Cell Analysis and Classification.","authors":"Wei Yu, Yaxi Li, Aihui Sun, Shouyu Wang","doi":"10.1002/jbio.202500286","DOIUrl":null,"url":null,"abstract":"<p><p>We introduce a quantitative phase imaging-based flow cytometer that integrates dual-view transport of intensity phase imaging with microfluidics into a commercial microscope, enabling label-free cell analysis and classification. By capturing under-focus and over-focus images simultaneously, the phase distributions of flowing cells are reconstructed to extract morphological parameters for subsequent classification. This system achieves high-accuracy phase imaging, as demonstrated by tests on a standard phase plate sample, and successfully recognizes and classifies cells, validated using mixtures of RAW264.7 cells and MC3T3-E1 cells in varying proportions. Given its simple configuration, precise phase retrieval, and robust classification capabilities, we believe this quantitative phase imaging-based flow cytometer holds great promise as an efficient tool for cell analysis in microfluidics, with potential applications in both fundamental research and clinical studies.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":" ","pages":"e202500286"},"PeriodicalIF":2.3000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of biophotonics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/jbio.202500286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We introduce a quantitative phase imaging-based flow cytometer that integrates dual-view transport of intensity phase imaging with microfluidics into a commercial microscope, enabling label-free cell analysis and classification. By capturing under-focus and over-focus images simultaneously, the phase distributions of flowing cells are reconstructed to extract morphological parameters for subsequent classification. This system achieves high-accuracy phase imaging, as demonstrated by tests on a standard phase plate sample, and successfully recognizes and classifies cells, validated using mixtures of RAW264.7 cells and MC3T3-E1 cells in varying proportions. Given its simple configuration, precise phase retrieval, and robust classification capabilities, we believe this quantitative phase imaging-based flow cytometer holds great promise as an efficient tool for cell analysis in microfluidics, with potential applications in both fundamental research and clinical studies.