Computer-Aided Laser Dissection: A Microdissection Workflow Leveraging Image Analysis Tools.
Computer-Aided Laser Dissection: A Microdissection Workflow Leveraging Image Analysis Tools.
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DOI：
10.4103/jpi.jpi_60_18
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发表时间：
2018-01-01
影响因子：
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通讯作者：
Tangrea, Michael A
中科院分区：
文献类型：
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作者：
Hipp, Jason D;Johann, Donald J;Tangrea, Michael A
简介：基于下一代测序和蛋白质组学的新的分子诊断测定的开发和应用需要改进用于从组织切片获取靶细胞的方法。激光显微切割可以成功地分离不同的细胞从组织标本的基础上视觉选择许多研究和临床应用。然而，这可能是一个艰巨的任务时，需要大量的细胞进行分子分析或当一个相当大的数量的标本需要进行evaluated.MATERIALS和方法：为了提高细胞识别过程的效率，我们描述了一个显微解剖工作流程，利用最近开发的和开源的图像分析算法，被称为计算机辅助激光解剖（CALD）。CALD允许计算机算法来识别感兴趣的细胞并驱动解剖过程。结果：我们描述了几个“用例”，展示了图像分析工具概率成对马尔可夫模型、ImageJ、空间不变矢量量化（SIVQ）和eSeg在ThermoFisher Scientific ArcturusXT和Leica LMD 7000显微解剖平台上的集成。CALD方法展示了图像分析工具与显微切割工作流程的集成，并显示了对临床和生命科学应用的潜在影响。
INTRODUCTION: The development and application of new molecular diagnostic assays based on next-generation sequencing and proteomics require improved methodologies for procurement of target cells from histological sections. Laser microdissection can successfully isolate distinct cells from tissue specimens based on visual selection for many research and clinical applications. However, this can be a daunting task when a large number of cells are required for molecular analysis or when a sizeable number of specimens need to be evaluated.MATERIALS AND METHODS: To improve the efficiency of the cellular identification process, we describe a microdissection workflow that leverages recently developed and open source image analysis algorithms referred to as computer-aided laser dissection (CALD). CALD permits a computer algorithm to identify the cells of interest and drive the dissection process.RESULTS: We describe several "use cases" that demonstrate the integration of image analytic tools probabilistic pairwise Markov model, ImageJ, spatially invariant vector quantization (SIVQ), and eSeg onto the ThermoFisher Scientific ArcturusXT and Leica LMD7000 microdissection platforms.CONCLUSIONS: The CALD methodology demonstrates the integration of image analysis tools with the microdissection workflow and shows the potential impact to clinical and life science applications.