Conway Catherine, Dobson Lynne, O'Grady Anthony, Kay Elaine, Costello Sean, O'Shea Daniel
SlidePath, Dublin, Ireland.
Histochem Cell Biol. 2008 Sep;130(3):447-63. doi: 10.1007/s00418-008-0480-1. Epub 2008 Aug 5.
Tissue Microarrays facilitate high-throughput immuohistochemistry; however, there are key bottlenecks apparent in their analysis, particularly when conducting microscope-based manual reviews. Traditionally Tissue Microarray assessments were performed using a microscope where results were either transcribed or dictated and subsequently entered into flat-file spreadsheets. This process is labour intensive, prone to error and negates the advantages of the high-throughput Tissue Microarray format. In addition, human interpretations of staining intensity parameters are highly subjective and therefore prone to inter- and intra-observer variability. The advent of Virtual Slides has permitted the review of tissue slides across the Internet. In addition, this new technology enables the creation of software solutions to assist in the manual and automated review of Tissue Microarrays, through the use of computer aided image analysis. There are numerous academically developed and commercially available applications which assist in Tissue Microarray reviews; functionality of these systems range in complexity and application domains. The review which follows describes these systems and outlines technical considerations to be assessed when deciding on a Tissue Microarray workflow solution.
组织微阵列有助于进行高通量免疫组织化学；然而，在其分析过程中存在明显的关键瓶颈，尤其是在进行基于显微镜的人工评估时。传统上，组织微阵列评估是在显微镜下进行的，结果要么被转录要么被口述，随后输入到平面文件电子表格中。这个过程劳动强度大，容易出错，并且抵消了高通量组织微阵列形式的优势。此外，对染色强度参数的人为解读具有高度主观性，因此容易出现观察者间和观察者内的差异。虚拟切片的出现使得能够通过互联网查看组织切片。此外，这项新技术能够创建软件解决方案，通过使用计算机辅助图像分析来协助对组织微阵列进行人工和自动评估。有许多学术开发的和商业可用的应用程序可协助进行组织微阵列评估；这些系统的功能在复杂性和应用领域方面各不相同。以下综述描述了这些系统，并概述了在决定组织微阵列工作流程解决方案时需要评估的技术考量。
