单元阵列观测高通量自动图像处理系统

D. Tominaga, Fukumi Iguchi, K. Horimoto, Yutaka Akiyama
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引用次数: 0

摘要

在许多生物观察中,如细胞阵列、DNA微阵列或组织显微镜,主要数据是通过照片获得的。每种类型的照片都需要专门的处理方法,因为它们种类繁多,而且现代高通量观测通常需要自动化系统。我们开发了细胞阵列全自动图像处理系统,活细胞高通量时间序列观察系统,以评估每个细胞的基因表达水平和表型随时间的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-throughput Automated Image Processing System for Cell Array Observations
In many cases of biological observations such as cell array, DNA micro-array or tissue microscopy, primary data are obtained as photographs. Specialized processing methods are needed for each kind of photographs because they have very wide variety, and often needed automated systems for modern high-throughput observations. We developed a fully-automated image processing system for cell array, high-throughput time series observation system for living cells, to evaluate gene expression levels and phenotype changes in time of each cell.
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