DL4MicEverywhere: deep learning for microscopy made flexible, shareable and reproducible.

Journal: Nature methods
Published Date:

Abstract

No abstract available for this article.

Authors

  • Iván Hidalgo-Cenalmor
    Optical Cell Biology Group, Instituto Gulbenkian de Ciência, Oeiras, Portugal.
  • Joanna W Pylvänäinen
    Faculty of Science and Engineering, Cell Biology, Åbo Akademi, University, 20520 Turku, Finland.
  • Mariana G Ferreira
    Optical Cell Biology Group, Instituto Gulbenkian de Ciência, Oeiras, Portugal.
  • Craig T Russell
    European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, UK.
  • Alon Saguy
    Department of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel.
  • Ignacio Arganda-Carreras
    Ikerbasque, Basque Foundation for Science, Bilbao 48013, Spain.
  • Yoav Shechtman
    Department of Biomedical Engineering; Lorry I. Lokey Interdisciplinary Center for Life Sciences and Engineering. Electronic address: yoavsh@bm.technion.ac.il.
  • Guillaume Jacquemet
    Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland. guillaume.jacquemet@abo.fi.
  • Ricardo Henriques
    MRC-Laboratory for Molecular Cell Biology, University College London, London, U.K. r.laine@ucl.ac.uk r.henriques@ucl.ac.uk.
  • Estibaliz Gómez-de-Mariscal
    Bioengineering and Aerospace Engineering Department, Universidad Carlos III de Madrid and Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.