Democratising deep learning for microscopy with ZeroCostDL4Mic
Deep learning methods show great promise for the analysis of microscopy images but there is currently an accessibility barrier to many users. Here the authors report a convenient entry-level deep learning platform that can be used at no cost: ZeroCostDL4Mic.
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Nature Portfolio
2021
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oai:doaj.org-article:71c9afaf6b9849e787693c838589c3122021-12-02T14:25:16ZDemocratising deep learning for microscopy with ZeroCostDL4Mic10.1038/s41467-021-22518-02041-1723https://doaj.org/article/71c9afaf6b9849e787693c838589c3122021-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22518-0https://doaj.org/toc/2041-1723Deep learning methods show great promise for the analysis of microscopy images but there is currently an accessibility barrier to many users. Here the authors report a convenient entry-level deep learning platform that can be used at no cost: ZeroCostDL4Mic.Lucas von ChamierRomain F. LaineJohanna JukkalaChristoph SpahnDaniel KrentzelElias NehmeMartina LercheSara Hernández-PérezPieta K. MattilaEleni KarinouSéamus HoldenAhmet Can SolakAlexander KrullTim-Oliver BuchholzMartin L. JonesLoïc A. RoyerChristophe LeterrierYoav ShechtmanFlorian JugMike HeilemannGuillaume JacquemetRicardo HenriquesNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-18 (2021) |
| institution |
DOAJ |
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DOAJ |
| language |
EN |
| topic |
Science Q |
| spellingShingle |
Science Q Lucas von Chamier Romain F. Laine Johanna Jukkala Christoph Spahn Daniel Krentzel Elias Nehme Martina Lerche Sara Hernández-Pérez Pieta K. Mattila Eleni Karinou Séamus Holden Ahmet Can Solak Alexander Krull Tim-Oliver Buchholz Martin L. Jones Loïc A. Royer Christophe Leterrier Yoav Shechtman Florian Jug Mike Heilemann Guillaume Jacquemet Ricardo Henriques Democratising deep learning for microscopy with ZeroCostDL4Mic |
| description |
Deep learning methods show great promise for the analysis of microscopy images but there is currently an accessibility barrier to many users. Here the authors report a convenient entry-level deep learning platform that can be used at no cost: ZeroCostDL4Mic. |
| format |
article |
| author |
Lucas von Chamier Romain F. Laine Johanna Jukkala Christoph Spahn Daniel Krentzel Elias Nehme Martina Lerche Sara Hernández-Pérez Pieta K. Mattila Eleni Karinou Séamus Holden Ahmet Can Solak Alexander Krull Tim-Oliver Buchholz Martin L. Jones Loïc A. Royer Christophe Leterrier Yoav Shechtman Florian Jug Mike Heilemann Guillaume Jacquemet Ricardo Henriques |
| author_facet |
Lucas von Chamier Romain F. Laine Johanna Jukkala Christoph Spahn Daniel Krentzel Elias Nehme Martina Lerche Sara Hernández-Pérez Pieta K. Mattila Eleni Karinou Séamus Holden Ahmet Can Solak Alexander Krull Tim-Oliver Buchholz Martin L. Jones Loïc A. Royer Christophe Leterrier Yoav Shechtman Florian Jug Mike Heilemann Guillaume Jacquemet Ricardo Henriques |
| author_sort |
Lucas von Chamier |
| title |
Democratising deep learning for microscopy with ZeroCostDL4Mic |
| title_short |
Democratising deep learning for microscopy with ZeroCostDL4Mic |
| title_full |
Democratising deep learning for microscopy with ZeroCostDL4Mic |
| title_fullStr |
Democratising deep learning for microscopy with ZeroCostDL4Mic |
| title_full_unstemmed |
Democratising deep learning for microscopy with ZeroCostDL4Mic |
| title_sort |
democratising deep learning for microscopy with zerocostdl4mic |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/71c9afaf6b9849e787693c838589c312 |
| work_keys_str_mv |
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| _version_ |
1718391375216508928 |