Toward the virtual cell: automated approaches to building models of subcellular organization "learned" from microscopy images.

Abstract

We review state-of-the-art computational methods for constructing, from image data, generative statistical models of cellular and nuclear shapes and the arrangement of subcellular structures and proteins within them. These automated approaches allow consistent analysis of images of cells for the purposes of learning the range of possible phenotypes… (More)
DOI: 10.1002/bies.201200032

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