RT Journal Article
SR Electronic
T1 Label-free prediction of three-dimensional fluorescence images from transmitted light microscopy
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 289504
DO 10.1101/289504
A1 Ounkomol, Chawin
A1 Seshamani, Sharmishtaa
A1 Maleckar, Mary M.
A1 Collman, Forrest
A1 Johnson, Gregory R.
YR 2018
UL http://biorxiv.org/content/early/2018/05/23/289504.abstract
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.