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首页> 外文会议>Biomedical vibrational spectroscopy VI: Advances in research and industry >Cell Identification using Raman Spectroscopy in Combination with Optical Trapping and Microfluidics
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Cell Identification using Raman Spectroscopy in Combination with Optical Trapping and Microfluidics

机译：拉曼光谱结合光学阱和微流控技术进行细胞鉴定

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Cell identification by Raman spectroscopy has evolved to be an attractive complement to established optical techniques. Raman activated cell sorting (RACS) offers prospects to complement the widely applied fluorescence activated cell sorting. RACS can be realized by combination with optical traps and microfluidic devices. The progress of RACS is reported for a cellular model system that can be found in peripheral blood of tumor patients. Lymphocytes and erythrocytes were extracted from blood samples. Breast carcinoma derived tumor cells (MCF-7, BT-20) and acute myeloid leukemia cells (OCI-AML3) were grown in cell cultures. First, Raman images were collected from dried cells on calcium fluoride slides. Support vector machines (SVM) classified 99.7% of the spectra to the correct cell type. Second, a 785 nm laser was used for optical trapping of single cells in aqueous buffer and for excitation of the Raman spectrum. SVM distinguished 1210 spectra of tumor and normal cells with a sensitivity of ＞99.7% and a specificity of ＞99.5%. Third, a microfluidic glass chip was designed to inject single cells, modify the flow speed, accommodate fibers of an optical trap and sort single cells after Raman based identification with 514 nm for excitation. Forth, the microfluidic chip was fabricated by quartz which improved cell identification results with 785 nm excitation. Here, partial least squares discriminant analysis gave classification rates of 98%. Finally, a Raman-on-chip approach was developed that integrates fibers for trapping, Raman excitation and signal detection in a single compact unit.
机译：通过拉曼光谱法鉴定细胞已发展成为已建立的光学技术的有吸引力的补充。拉曼活化细胞分选（RACS）为补充广泛应用的荧光活化细胞分选提供了前景。 RACS可以通过与光阱和微流体装置结合来实现。据报道，在肿瘤患者外周血中发现了一种细胞模型系统，RACS的进展。从血样中提取淋巴细胞和红细胞。乳腺癌衍生的肿瘤细胞（MCF-7，BT-20）和急性髓性白血病细胞（OCI-AML3）在细胞培养物中生长。首先，从氟化钙片上的干细胞中收集拉曼图像。支持向量机（SVM）将99.7％的光谱分类为正确的细胞类型。其次，使用785 nm激光对水缓冲液中的单个细胞进行光捕获和激发拉曼光谱。 SVM区分出肿瘤和正常细胞的1210个光谱，灵敏度＞ 99.7％，特异性＞ 99.5％。第三，设计微流体玻璃芯片以注入单个细胞，改变流速，容纳光阱的纤维，并在基于514 nm的拉曼光谱鉴定激发后对单个细胞进行分选。第四，微流控芯片由石英制成，通过785 nm激发提高了细胞鉴定结果。在这里，偏最小二乘判别分析得出的分类率为98％。最终，开发了一种拉曼片上方法，该方法在单个紧凑单元中集成了用于捕获，拉曼激发和信号检测的光纤。

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