PT  - JOURNAL ARTICLE
AU  - Ounkomol, Chawin
AU  - Seshamani, Sharmishtaa
AU  - Maleckar, Mary M.
AU  - Collman, Forrest
AU  - Johnson, Gregory R.
TI  - Label-free prediction of three-dimensional fluorescence images from transmitted light microscopy
AID  - 10.1101/289504
DP  - 2018 Jan 01
TA  - bioRxiv
PG  - 289504
4099  - http://biorxiv.org/content/early/2018/05/23/289504.short
4100  - http://biorxiv.org/content/early/2018/05/23/289504.full
AB  - Understanding cells as integrated systems is a challenge central to modern biology. While different microscopy approaches may be used to probe diverse aspects of biological organization, each method presents limitations which ultimately restrict a view into unified cellular organization. For example, while fluorescence microscopy can resolve subcellular structure in living cells, it is expensive, slow, and can damage cells. Here, we present a label-free method for predicting 3D fluorescence directly from transmitted light images and demonstrate that it can be used to generate multi-structure, integrated images. We then demonstrate that this same method can be used to predict immunofluorescence from electron micrograph inputs, extending the method to a wider range of bioimaging applications.