Suppr超能文献

使用激光镊子拉曼光谱对单细胞进行自动化分析。

Automated analysis of single cells using Laser Tweezers Raman Spectroscopy.

作者信息

Casabella S, Scully P, Goddard N, Gardner P

机构信息

Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, M1 7DN, UK.

The Photon Science Institute, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK.

出版信息

Analyst. 2016 Jan 21;141(2):689-96. doi: 10.1039/c5an01851j.

Abstract

In recent years, significant progress has been made into the label-free detection and discrimination of individual cancer cells using Laser Tweezers Raman Spectroscopy (LTRS). However, the majority of examples reported have involved manual trapping of cells, which is time consuming and may lead to different cell lines being analysed in discrete batches. A simple, low-cost microfluidic flow chamber is introduced which allows single cells to be optically trapped and analysed in an automated fashion, greatly reducing the level of operator input required. Two implementations of the flow chamber are discussed here; a basic single-channel device in which the fluid velocity is controlled manually, and a dual-channel device which permits the automated capture and analysis of multiple cell lines with no operator input. Results are presented for the discrimination of live epithelial prostate cells and lymphocytes, together with a consideration of the consequences of traditional 'batch analysis' typically used for LTRS of live cells.

摘要

近年来,利用激光镊子拉曼光谱(LTRS)对单个癌细胞进行无标记检测和鉴别取得了重大进展。然而,报道的大多数实例都涉及手动捕获细胞,这既耗时,又可能导致不同细胞系分批次进行分析。本文介绍了一种简单、低成本的微流控流动腔,它能够以自动化方式对单个细胞进行光学捕获和分析,极大地减少了所需的操作员干预程度。这里讨论了流动腔的两种实现方式;一种是基本的单通道装置,其流体速度由手动控制,另一种是双通道装置,它允许在无需操作员干预的情况下对多个细胞系进行自动捕获和分析。文中给出了鉴别活的上皮前列腺细胞和淋巴细胞的结果,并考虑了通常用于活细胞LTRS的传统“批次分析”的影响。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验