Extracting information from imaging cytometry: a review

被引:1
|
作者
Gokhale, P. J. [1 ]
机构
[1] Univ Sheffield, Dept Biomed Sci, Western Bank, Sheffield S10 2TN, S Yorkshire, England
关键词
cytometry; high-content analysis; high-content imaging; microscopy; review;
D O I
10.1080/10520295.2016.1247987
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
The extraction of statistically meaningful quantitative information from microscopy images is increasingly important for modern biological research. Obtaining accurate, quantitative information from biological specimens, however, is a complex process that requires optimization of several parameters. One must consider the number of probes, fluorescent channels required, type of plate to be used, number of fields to be acquired and optimal resolution for image acquisition. The extraction of information from images is dependent on and can be aided greatly by careful consideration of the factors involved in the image acquisition process. I summarize here the general principles behind the imaging and software technology that is used to quantify images and highlight particular issues of concern for critically applying image quantitation techniques for research.
引用
收藏
页码:540 / 548
页数:9
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