Microfluidic sample preparation for diagnostic cytopathology.

Microfluidic sample preparation for diagnostic cytopathology.
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DOI:
10.1039/c2lc41104k
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发表时间:
2013-03-21
期刊:
影响因子:
6.1
通讯作者:
Di Carlo D
Di Carlo D
中科院分区:
工程技术1区
文献类型:
--
作者:
Mach AJ;Adeyiga OB;Di Carlo D

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体液的细胞成分是常规分析,以确定疾病和治疗方法。虽然重点放在开发细胞分析技术上,但自动化制备细胞标本的工具更为有限,特别是用于血液以外的体液。制备步骤包括分离、浓缩和将细胞暴露于试剂中。样品制备继续由技术人员常规地在芯片外进行,这妨碍了基于细胞的即时诊断,增加了测试成本,并降低了多个手动执行步骤后最终分析的一致性。在这里,我们回顾了生物液体的分类,其中悬浮细胞的分析,以及他们的特点和诊断价值。我们提出了细胞学诊断的常规样品制备过程的概述。最后,我们讨论了开发微流体装置以实现这些过程自动化或小型化的挑战和机遇,特别强调了制备大体积或小体积样品,处理高细胞度样品,自动化多步骤过程以及获得高纯度细胞亚群。我们希望传达的重要性,并帮助确定新的研究方向,解决广泛的生物学和临床应用,准备和分析现有的生物液体阵列。成功地解决本文中描述的挑战可以带来廉价的系统,以提高诊断准确性,同时降低整体系统医疗保健成本。
The cellular components of body fluids are routinely analyzed to identify disease and treatment approaches. While significant focus has been placed on developing cell analysis technologies, tools to automate the preparation of cellular specimens have been more limited, especially for body fluids beyond blood. Preparation steps include separating, concentrating, and exposing cells to reagents. Sample preparation continues to be routinely performed off-chip by technicians, preventing cell-based point-of-care diagnostics, increasing the cost of tests, and reducing the consistency of the final analysis following multiple manually-performed steps. Here, we review the assortment of biofluids for which suspended cells are analyzed, along with their characteristics and diagnostic value. We present an overview of the conventional sample preparation processes for cytological diagnosis. We finally discuss the challenges and opportunities in developing microfluidic devices for the purpose of automating or miniaturizing these processes, with particular emphases on preparing large or small volume samples, working with samples of high cellularity, automating multi-step processes, and obtaining high purity subpopulations of cells. We hope to convey the importance of and help identify new research directions addressing the vast biological and clinical applications in preparing and analyzing the array of available biological fluids. Successfully addressing the challenges described in this review can lead to inexpensive systems to improve diagnostic accuracy while simultaneously reducing overall systemic healthcare costs.
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