Dual‐View Transport of Intensity Phase Imaging‐Based Flow Cytometry for Label‐Free Cell Analysis and Classification

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.

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Publication Details

Journal
Journal of Biophotonics
Published
2025-09-15
DOI
https://doi.org/10.1002/jbio.202500286
Primary Topic
Microfluidic and Bio-sensing Technologies
Type
article
Field-Weighted Citation Impact
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article

Dual‐View Transport of Intensity Phase Imaging‐Based Flow Cytometry for Label‐Free Cell Analysis and Classification

Yaxi Li, Shouyu Wang, Aihui Sun, Wei Yu
Journal of Biophotonics
Microfluidic and Bio-sensing Technologies
article

Dual‐View Transport of Intensity Phase Imaging‐Based Flow Cytometry for Label‐Free Cell Analysis and Classification

Yaxi Li, Shouyu Wang, Aihui Sun, Wei Yu
article en

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.

Journal of BiophotonicsVol. 19(1)
Jiangnan University (CN), National Supercomputing Center in Wuxi (CN)
Openalex Percentile: Top 77%
Microfluidic and Bio-sensing Technologies
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Dual‐View Transport of Intensity Phase Imaging‐Based Flow Cytometry for Label‐Free Cell Analysis and Classification — Yaxi Li, Shouyu Wang, et al. · Journal of Biophotonics (2025) | TGRS Research Map | TGRS