ラマン・蛍光イメージングフローサイトメトリーとセルソーティング

本项目的目标是建立基于拉曼-荧光细胞同时分选的成像流式细胞术。这需要在三个领域进行联合开发：非线性光谱学、微流体学以及实时数据处理和决策。在撰写本报告时，我已经实现了基于宽带分析的细胞分选，指纹区域拉曼光谱的吞吐量高达~50个/S，纯度高达93%。这项工作需要构建细胞分选器，使用来自聚合物微珠的拉曼信号进行概念分选，并根据细胞的多糖和类胡萝卜素含量的拉曼信号对细胞进行分选。目前正在审查一份基于调查结果的手稿。

The goal of this project was to establish simultaneous Raman & fluorescence cell sorting based & imaging flow cytometry. This required combined development in three fields: nonlinear spectroscopy, microfluidics, and real-time data processing and decision making. At the time of this report, I have achieved cell sorting based on analysis of broadband, fingerprint region Raman spectra at throughputs of up to ~50 cells/s and purities up to 93%. This work required constructing the cell sorter, a proof of concept sorting using the Raman signal from polymer microbeads, and sorting cells based on the Raman signal from their polysaccharide and carotenoid content. A manuscript based on the results is currently under review.