Article

Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting

2018-08-20

Abstract excerpt

Cellular microscopy images contain rich insights about biology. To extract this information, researchers use features, or measurements of the patterns of interest in the images. Here, we introduce a convolutional neural network (CNN) to automatically design features for fluorescence microscopy. We use a self-supervised method to learn feature representations of single cells in microscopy images without labelled tr...

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Literature Corpus work: b44b9806-50d8-590f-81c2-e12c3999710b
DOI: 10.1101/395954

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