Rxivist logo

Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 54,982 bioRxiv papers from 253,713 authors.

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

By Chawin Ounkomol, Sharmishtaa Seshamani, Mary M Maleckar, Forrest Collman, Gregory R. Johnson

Posted 27 Mar 2018
bioRxiv DOI: 10.1101/289504 (published DOI: 10.1038/s41592-018-0111-2)

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.

Download data

  • Downloaded 4,170 times
  • Download rankings, all-time:
    • Site-wide: 474 out of 54,982
    • In cell biology: 14 out of 2,599
  • Year to date:
    • Site-wide: 1,187 out of 54,982
  • Since beginning of last month:
    • Site-wide: 1,278 out of 54,982

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide

Sign up for the Rxivist weekly newsletter! (Click here for more details.)