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首页> 外文会议>Biomedical vibrational spectroscopy 2016: Advances in research and industry >Raman-based Identification of Circulating Tumor Cells for Cancer Diagnosis
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Raman-based Identification of Circulating Tumor Cells for Cancer Diagnosis

机译：基于拉曼的循环肿瘤细胞识别用于癌症诊断

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摘要

Circulating tumor cells (CTCs) that can be extracted from body fluids offer new prospects in cancer diagnostics. An overview about our recent achievements is presented to use Raman-based methodologies to distinguish cancer cells from normal blood cells. In a first approach, a microfluidic chip was developed to collect Raman spectra from optically trapped cells. Whereas sensitivities and specificities were promising, the throughput was not compatible with the expected low number of CTCs per million white blood cells. A second strategy immobilized up to 200,000 cells onto a microhole array made of silicon nitride. Rapid microscopic screening can be applied to pre-select a subset of cells from which Raman spectra are collected for specific CTC identification. As this approach is compatible with living cells and Raman spectroscopy with 785 nm excitation is non-destructive, a robotic arm can select positively identified CTCs for in-depth biochemical assessment. Finally, an in vivo approach directly collects CTCs from the blood stream. This way reduces the cell number to a manageable size that is subjected to Raman spectroscopy for cell typing and enumeration. An integrated acquisition mode was introduced to further increase the throughput and robustness of single cell classification.
机译：可以从体液中提取的循环肿瘤细胞（CTC）为癌症诊断提供了新的前景。概述了我们最近的成就，以使用基于拉曼的方法将癌细胞与正常血细胞区分开。在第一种方法中，开发了一种微流控芯片来从光学捕获的细胞中收集拉曼光谱。尽管敏感性和特异性令人鼓舞，但通量与预期的每百万白细胞低数量的四氯化碳不相容。第二种策略将多达200,000个细胞固定在由氮化硅制成的微孔阵列上。快速显微镜筛选可用于预选从中收集拉曼光谱的细胞子集，以进行特定的CTC鉴定。由于该方法与活细胞兼容，并且785 nm激发的拉曼光谱无损，因此机械臂可以选择阳性鉴定的CTC进行深入的生化评估。最后，体内方法直接从血流中收集四氯化碳。这种方法将细胞数量减少到可管理的大小，然后进行拉曼光谱分析以进行细胞分型和计数。引入了集成采集模式，以进一步提高单细胞分类的吞吐量和鲁棒性。

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