Learning the missing channel
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...
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| Main Author: | |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
20 July 2022
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| In: |
Nature machine intelligence
Year: 2022, Volume: 4, Issue: 7, Pages: 616-617 |
| ISSN: | 2522-5839 |
| DOI: | 10.1038/s42256-022-00514-3 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1038/s42256-022-00514-3 Verlag, lizenzpflichtig, Volltext: https://www.nature.com/articles/s42256-022-00514-3 
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| Author Notes: | Florian Heigwer |
| Summary: | 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. |
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| Item Description: | Gesehen am 09.11.2022 |
| Physical Description: | Online Resource |
| ISSN: | 2522-5839 |
| DOI: | 10.1038/s42256-022-00514-3 |