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Learning the missing channel

delete2022-07-20
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PRE
AI
F
Florian Heigwer *
DOI:10.1038/s42256-022-00514-3delete
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Abstract

Abstract

En 中文
Microscopy-based drug screens with fluorescent markers can shed light on how drugs affect biological processes. Without adding markers and imaging channels, which is cumbersome and costly, a new generative deep-learning method extracts new fluorescence channels from images, potentially improving the drug-discovery pipeline.

Journal

Nature Machine Intelligence cover
Nature Machine Intelligence
IF:
23.9
Papers:
1.3K
Citations:
1.5W

Organization

H
Helmholtz Association
Scholars:
13.2W
Papers: 10.7W
Citations: 145
Cited Papers

Cited Papers

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errWong, Daniel R.; Conrad, Jay; Johnson, Noah R.; Ayers, Jacob; Laeremans, Annelies; Lee, Joanne C.; Lee, Jisoo; Prusiner, Stanley B.; Bandyopadhyay, Sourav; Butte, Atul J.; Paras, Nick A.; Keiser, Michael J.
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Both total and phosphorylated tau are increased in Alzheimer's disease
err2001-05-01
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errSjögren, M; Davidsson, P; Tullberg, M; Minthon, L; Wallin, A; Wikkelso, C; Granerus, AK; Vanderstichele, H; Vanmechelen, E; Blennow, K
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Image-based profiling for drug discovery: due for a machine-learning upgrade?
err2020-12-22
err193
errOAAI
errChandrasekaran, Srinivas Niranj; Ceulemans, Hugo; Boyd, Justin D.; Carpenter, Anne E.
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Content-aware image restoration: pushing the limits of fluorescence microscopy
err2018-11-26
err698
errOAAI
errWeigert, Martin; Schmidt, Uwe; Boothe, Tobias; Mueller, Andreas; Dibrov, Alexandr; Jain, Akanksha; Wilhelm, Benjamin; Schmidt, Deborah; Broaddus, Coleman; Culley, Sian; Rocha-Martins, Mauricio; Segovia-Miranda, Fabian; Norden, Caren; Henriques, Ricardo; Zerial, Marino; Solimena, Michele; Rink, Jochen; Tomancak, Pavel; Royer, Loic; Jug, Florian; Myers, Eugene W.
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