Elias Nehme, Daniel Freedman, Racheli Gordon, Boris Ferdman, Lucien Weiss
, Onit Alalouf, Tal Naor, Reut Orange, Tomer Michaeli and Yoav Shechtman
Article (2020)
Document published while its authors were not affiliated with Polytechnique Montréal
An external link is available for this item
| PolyPublie URL: | https://publications.polymtl.ca/49597/ |
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| Journal Title: | Nature Methods (vol. 17, no. 7) |
| Publisher: | Nature Publishing Group |
| DOI: | 10.1038/s41592-020-0853-5 |
| Official URL: | https://doi.org/10.1038/s41592-020-0853-5 |
| Date Deposited: | 18 Apr 2023 15:01 |
| Last Modified: | 25 Sep 2024 16:39 |
| Cite in APA 7: | Nehme, E., Freedman, D., Gordon, R., Ferdman, B., Weiss, L., Alalouf, O., Naor, T., Orange, R., Michaeli, T., & Shechtman, Y. (2020). DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning. Nature Methods, 17(7), 734-740. https://doi.org/10.1038/s41592-020-0853-5 |
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