Antigen-independent single-cell phenotyping using biolaser

Weishu Wu; Sherman Fan; Sunitha Nagrath; Yu Zhang; Xiaotian Tan

doi:10.1117/12.3001199

13 March 2024 Antigen-independent single-cell phenotyping using biolaser

Weishu Wu, Sherman Fan, Sunitha Nagrath, Yu Zhang, Xiaotian Tan

Proceedings Volume PC12846, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXII; PC1284602 (2024) https://doi.org/10.1117/12.3001199
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

We introduce a novel, antigen-independent biolaser method to generate distinctive cellular signatures. Suspension of nucleic acid-stained cells is deposited into a Fabry-Perot cavity. The cells are excited by a pump laser at various power densities and the lasing signatures of these cells are collected. A neural network based on ResNet 34 is trained to detect and differentiate lasing patterns of CTCs from WBCs using the collected lasing signatures. This neural network structure is designed to be robust against inter-cavity discrepancies in laser cavities. We tested our system on detecting circulating pancreatic cancer cells from cell lines of T cells (Jurkat) and later spiked patient samples (filtered WBCs), from lasing cavities with uncharacterized Q factors. In both cases, we were able to differentiate the CTCs with an accuracy higher than 90%.

Conference Presentation

Citation Download Citation

Weishu Wu, Sherman Fan, Sunitha Nagrath, Yu Zhang, and Xiaotian Tan "Antigen-independent single-cell phenotyping using biolaser", Proc. SPIE PC12846, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXII, PC1284602 (13 March 2024); https://doi.org/10.1117/12.3001199

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