Deep learning enables fast and dense single-molecule localization with high accuracy
2021
Article
ei
Author(s): | Speiser*, A. and Müller*, L.-R. and Hoess, P. and Matti, U. and Obara, C. J. and Legant, W. R. and Kreshuk, A. and Macke, J. H. and Ries, J. and Turaga, S. C. |
Journal: | Nature Methods |
Volume: | 18 |
Pages: | 1082--1090 |
Year: | 2021 |
Month: | September |
Publisher: | Nature Publishing Group |
Department(s): | Empirical Inference |
Research Project(s): |
Probabilistic Algorithms
|
Bibtex Type: | Article (article) |
Address: | New York, NY |
DOI: | 10.1038/s41592-021-01236-x |
Note: | *equal contribution |
State: | Published |
URL: | https://www.nature.com/articles/s41592-021-01236-x |
Links: |
bioRxiv
|
BibTex @article{Speiseretal21, title = {Deep learning enables fast and dense single-molecule localization with high accuracy}, author = {Speiser*, A. and M{\"u}ller*, L.-R. and Hoess, P. and Matti, U. and Obara, C. J. and Legant, W. R. and Kreshuk, A. and Macke, J. H. and Ries, J. and Turaga, S. C.}, journal = {Nature Methods}, volume = {18}, pages = {1082--1090}, publisher = {Nature Publishing Group}, address = {New York, NY}, month = sep, year = {2021}, note = {*equal contribution}, doi = {10.1038/s41592-021-01236-x}, url = {https://www.nature.com/articles/s41592-021-01236-x}, month_numeric = {9} } |