Democratising deep learning for microscopy with ZeroCostDL4Mic
Democratising deep learning for microscopy with ZeroCostDL4Mic
About this item
Full title
Author / Creator
von Chamier, Lucas , Laine, Romain F. , Jukkala, Johanna , Spahn, Christoph , Krentzel, Daniel , Nehme, Elias , Lerche, Martina , Hernández-Pérez, Sara , Mattila, Pieta K. , Karinou, Eleni , Holden, Séamus , Solak, Ahmet Can , Krull, Alexander , Buchholz, Tim-Oliver , Jones, Martin L. , Royer, Loïc A. , Leterrier, Christophe , Shechtman, Yoav , Jug, Florian , Heilemann, Mike , Jacquemet, Guillaume and Henriques, Ricardo
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Deep Learning (DL) methods are powerful analytical tools for microscopy and can outperform conventional image processing pipelines. Despite the enthusiasm and innovations fuelled by DL technology, the need to access powerful and compatible resources to train DL networks leads to an accessibility barrier that novice users often find difficult to ove...
Alternative Titles
Full title
Democratising deep learning for microscopy with ZeroCostDL4Mic
Authors, Artists and Contributors
Author / Creator
Laine, Romain F.
Jukkala, Johanna
Spahn, Christoph
Krentzel, Daniel
Nehme, Elias
Lerche, Martina
Hernández-Pérez, Sara
Mattila, Pieta K.
Karinou, Eleni
Holden, Séamus
Solak, Ahmet Can
Krull, Alexander
Buchholz, Tim-Oliver
Jones, Martin L.
Royer, Loïc A.
Leterrier, Christophe
Shechtman, Yoav
Jug, Florian
Heilemann, Mike
Jacquemet, Guillaume
Henriques, Ricardo
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_71c9afaf6b9849e787693c838589c312
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_71c9afaf6b9849e787693c838589c312
Other Identifiers
ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-021-22518-0
