z-logo
open-access-imgOpen Access
Seeing More: A Future of Augmented Microscopy
Author(s) -
Devin P. Sullivan,
Emma Lundberg
Publication year - 2018
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2018.04.003
Subject(s) - biology , microscopy , organelle , fluorescence microscope , proteome , sted microscopy , fluorescence , electron microscope , computational biology , superresolution , microbiology and biotechnology , nanotechnology , artificial intelligence , computer science , bioinformatics , physics , image (mathematics) , optics , materials science
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom