The promise and peril of deep learning in microscopy
Nat Methods
.
2021 Feb;18(2):131-132.
doi: 10.1038/s41592-020-01035-w.
Authors
David P Hoffman
1
,
Isaac Slavitt
2
,
Casey A Fitzpatrick
2
Affiliations
1
10x Genomics, Pleasanton, CA, USA.
[email protected]
.
2
DrivenData Inc, Denver, CO, USA.
PMID:
33479523
DOI:
10.1038/s41592-020-01035-w
No abstract available
Publication types
Comment
MeSH terms
Deep Learning*
Microscopy*
Neural Networks, Computer