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Small, May 21 2024, | https://doi.org/10.1002/smll.202400019 Computational Hyperspectral Microflow Cytometry

Hyo Geun Yun ¹, Yoel Alonso Cadierno ², Tae Won Kim ¹, Arrate Muñoz-Barrutia ², Daniel Garica-Gonzalez ³, Sungyoung Choi ^1,4,5

¹Department of Electronic Engineering, Hanyang University, Seoul, 04763, Republic of Korea.

²Bioengineering Department, Universidad Carlos III De Madrid, Avda. de la Universidad 30, Leganés, Madrid, 28911, Spain.

³Department of Continuum Mechanics and Structural Analysis, Universidad Carlos III De Madrid, Avda. de la Universidad 30, Leganés, Madrid, 28911, Spain.

⁴Department of Biomedical Engineering, Hanyang University, Seoul, 04763, Republic of Korea.

⁵Hanyang Institute of Bioscience and Biotechnology, Hanyang University, Seoul, 04763, Republic of Korea.

CORRESPONDING AUTHOR : Sungyoung Choi

Abstract

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 ≈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.

논문정보

형식Research article
게재일2024년 05월 (BRIC 등록일 2024-05-22)
연구진국내(교신)+국외 연구진
분야 바이오·의료융합 > 바이오센싱 및 나노바이오물질

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