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Abstract:
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Over the past few years, there is a surge of applications of light microscopy in bio-imaging, which allows molecule-specific (DNA, RNA, proteins) measurements to be made with remarkable sensitivity. High-Content Screening (HCS) platform analyzes images and provides measurements of the intracellular fluorescence intensity for multiple parameters on a cell-by-cell basis. Of frequent research interest is finger-printing different physiological state of the cell, which is generally represented by the detection of certain protein. This research investigates the statistical methods for identifying the responder cells among a mixture cell population with cells in and not in the physiological state. In particular, a novel method, maximum selected test statistics, is proposed and shown to work well.
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