title: Extracting information from imaging cytometry: a review.
abstract: 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.
authors.affiliation: a Department of Biomedical Science , University of Sheffield , Western Bank, Sheffield , United Kingdom.
authors.forename: P J
authors.initials: PJ
authors.lastname: Gokhale
mesh_terms: D000818:Animals; D006801:Humans; D019044:Image Cytometry; D007091:Image Processing, Computer-Assisted; D008027:Light; D008853:Microscopy; D012984:Software; D013223:Statistics as Topic
keywords: cytometry; high-content analysis; high-content imaging; microscopy; review