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Computational Hyperspectral Microflow Cytometry
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DOI：10.1002/smll.202400019.png)
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Abstract
En 中文
Miniaturized flow cytometry has significant potential for portable applications, such as cell-based diagnostics and the monitoring of therapeutic cell manufacturing, however, the performance of current techniques is often limited by the inability to resolve spectrally-overlapping fluorescence labels. Here, the study presents a computational hyperspectral microflow cytometer (CHC) that enables accurate discrimination of spectrally-overlapping fluorophores labeling single cells. CHC employs a dispersive optical element and an optimization algorithm to detect the full fluorescence emission spectrum from flowing cells, with a high spectral resolution of approximate to 3 nm in the range from 450 to 650 nm. CHC also includes a dedicated microfluidic device that ensures in-focus imaging through viscoelastic sheathless focusing, thereby enhancing the accuracy and reliability of microflow cytometry analysis. The potential of CHC for analyzing T lymphocyte subpopulations and monitoring changes in cell composition during T cell expansion is demonstrated. Overall, CHC represents a major breakthrough in microflow cytometry and can facilitate its use for immune cell monitoring. The study presents a computational hyperspectral microflow cytometry capable of detecting the full fluorescence emission spectrum from individual flowing cells within the 450 to 650 nm spectral range, achieving a high spectral resolution of approximate to 3 nm in a compact form-factor. image
Keywords:
computational hyperspectral fluorescence analysis
microflow cytometry
spectral reconstruction
sheathless focusing
T lymphocyte analysis
Journal
IF:
12.1
Papers:
3.0W
Citations:
16.4W