Light-sheet dual-modality imaging flow cytometry with a single detector for label-free particle analysis

Zhi Li; Kexin Deng; Xuantao Su

doi:10.1117/12.2692164

24 November 2023 Light-sheet dual-modality imaging flow cytometry with a single detector for label-free particle analysis

Zhi Li, Kexin Deng, Xuantao Su

Author Affiliations +

Proceedings Volume 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023); 1293504 (2023) https://doi.org/10.1117/12.2692164
Event: Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 2023, Xi’an, China

Abstract

There is a growing interest in the development of imaging flow cytometry techniques that can simultaneously capture dual-modality images of single cells on a single detector. In this study, we developed a label-free light-sheet dualmodality imaging flow cytometer that is capable of simultaneously capturing bright-field and two-dimensional (2D) light scattering images of individual particles on a single detector. The system uses the principle of hydrodynamic focusing to make the microspheres flow in a single file. The laser and metal halide lamp beams are combined as light sources, which are directed onto the microspheres, providing 2D light scattering patterns and bright-field images of single particles. The two optical channels to collect the scattering patterns and bright-field images are collected by a single CMOS detector. By employing this dual-modality imaging flow cytometry, we demonstrated the obtaining and analysis of the label-free bright-field and light-scattering images of individual micrometer-sized particles. The label-free light-sheet dual-modality imaging flow cytometry is promising for applications in single-cell clinical analysis.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhi Li, Kexin Deng, and Xuantao Su "Light-sheet dual-modality imaging flow cytometry with a single detector for label-free particle analysis", Proc. SPIE 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 1293504 (24 November 2023); https://doi.org/10.1117/12.2692164

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