Seeing More: A Future of Augmented Microscopy.

Cell

Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, 171 21, Sweden. Electronic address:

Published: April 2018

Microscope images are information rich. In this issue of Cell, Christiansen et al. show that label-free images of cells can be used to predict fluorescent labels representing cell type, state, and organelle distribution using a deep-learning framework. This paves the way for computationally multiplexed assays derived from inexpensive label-free microscopy.

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http://dx.doi.org/10.1016/j.cell.2018.04.003DOI Listing

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