Unknown

Dataset Information

0

Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy.


ABSTRACT: Understanding cells as integrated systems is central to modern biology. Although fluorescence microscopy can resolve subcellular structure in living cells, it is expensive, is slow, and can damage cells. We present a label-free method for predicting three-dimensional fluorescence directly from transmitted-light images and demonstrate that it can be used to generate multi-structure, integrated images. The method can also predict immunofluorescence (IF) from electron micrograph (EM) inputs, extending the potential applications.

SUBMITTER: Ounkomol C 

PROVIDER: S-EPMC6212323 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications

Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy.

Ounkomol Chawin C   Seshamani Sharmishtaa S   Maleckar Mary M MM   Collman Forrest F   Johnson Gregory R GR  

Nature methods 20180917 11


Understanding cells as integrated systems is central to modern biology. Although fluorescence microscopy can resolve subcellular structure in living cells, it is expensive, is slow, and can damage cells. We present a label-free method for predicting three-dimensional fluorescence directly from transmitted-light images and demonstrate that it can be used to generate multi-structure, integrated images. The method can also predict immunofluorescence (IF) from electron micrograph (EM) inputs, extend  ...[more]

Similar Datasets

| S-EPMC3957272 | biostudies-literature
| S-EPMC6528968 | biostudies-literature
| S-EPMC5570909 | biostudies-other
| S-EPMC5519216 | biostudies-literature
| S-EPMC5680318 | biostudies-literature
| S-EPMC4277858 | biostudies-other