首页> 外文会议>SPIE Conference on Biomedical Vibrational SpectroscopyConference >Raman-based Identification of Circulating Tumor Cells for Cancer Diagnosis
【24h】

Raman-based Identification of Circulating Tumor Cells for Cancer Diagnosis

机译:基于拉曼的循环肿瘤细胞癌症诊断的鉴定

获取原文

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,以利用基于拉曼的方法来区分癌细胞与正常血细胞。在第一方法中,开发了微流体芯片以从光学捕获的细胞收集拉曼光谱。虽然敏感性和特异性很有前景,但吞吐量与预期的百万百万白细胞的CTC数量不兼容。第二种策略将高达200,000个细胞固定在由氮化硅制成的微孔阵列上。可以应用快速的显微镜筛选来预选择来自该细胞的子集,用于针对特定的CTC识别收集拉曼光谱。随着这种方法与具有785nm激发的活细胞和拉曼光谱相容是非破坏性的,机器人臂可以选择积极鉴定的CTC用于深入生化评估。最后,体内方法直接从血液中收集CTC。这种方式将单元数减少到可管理的大小,该尺寸经受用于细胞键入和枚举的拉曼光谱。介绍了集成采集模式,以进一步提高单细胞分类的吞吐量和稳健性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号