Computer image analysis of combinatorial multi-fluor FISH

Michael R Speicher, Stephen Gwyn Ballard, David C Ward
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引用次数: 27

Abstract

Epifluorescence filter sets and computer software for the detection and discrimination of up to 27 different DNA probes using multiplex-fluorescence in situ hybridization (M-FISH) have been developed recently. This paper focuses on a more detailed description of the specific software developed for the analysis of M-FISH experiments. Crucial steps in the evaluation process such as standardization of image acquisition, chromosome segmentation, fluorescence background estimation, accurate measurement of fluorescence intensities and definition of thresholds will be described. The application of M-FISH and comparative genomic hybridization (CGH) for the detection of chromosomal abnormalities in squamous cell cancer of the head and neck is also reported. Finally, we try to define an acceptable ‘standard’ for a fully automated multicolor imaging system.

组合荧光FISH的计算机图像分析
最近开发了使用多重荧光原位杂交(M-FISH)检测和区分多达27种不同DNA探针的表观荧光滤光片组和计算机软件。本文重点更详细地描述了为分析M-FISH实验而开发的特定软件。将描述评估过程中的关键步骤,如图像采集的标准化、染色体分割、荧光背景估计、荧光强度的精确测量和阈值的定义。还报道了M-FISH和比较基因组杂交(CGH)在检测头颈部鳞状细胞癌症染色体异常中的应用。最后,我们试图为全自动多色成像系统定义一个可接受的“标准”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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