Sharper signals: how machine learning is cleaning up microscopy images

Amber Dance

Nature, 2021, vol. 589, issue 7841, 318-319

Abstract: Computers trained to reduce the noise in micrographs can now tackle fresh data by themselves.

Keywords: Microscopy; Cell biology; Computer science; Software (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/d41586-021-00023-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:589:y:2021:i:7841:d:10.1038_d41586-021-00023-0

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/d41586-021-00023-0

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().