Your browser doesn't support javascript.
loading
Providing open imaging data at scale: An EMBL-EBI perspective.
Hartley, Matthew; Iudin, Andrii; Padwardhan, Ardan; Sarkans, Ugis; Yoldas, Aybüke Küpcü; Kleywegt, Gerard J.
Afiliación
  • Hartley M; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK. matthewh@ebi.ac.uk.
  • Iudin A; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK.
  • Padwardhan A; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK.
  • Sarkans U; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK.
  • Yoldas AK; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK.
  • Kleywegt GJ; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK.
Histochem Cell Biol ; 160(3): 211-221, 2023 Sep.
Article en En | MEDLINE | ID: mdl-37537341
Biological imaging is one of the primary tools by which we understand living systems across scales from atoms to organisms. Rapid advances in imaging technology have increased both the spatial and temporal resolutions at which we examine those systems, as well as enabling visualisation of larger tissue volumes. These advances have huge potential but also generate ever increasing amounts of imaging data that must be stored and analysed. Public image repositories provide a critical scientific service through open data provision, supporting reproducibility of scientific results, access to reference imaging datasets and reuse of data for new scientific discovery and acceleration of image analysis methods development. The scale and scope of imaging data provides both challenges and opportunities for open sharing of image data. In this article, we provide a perspective influenced by decades of provision of open data resources for biological information, suggesting areas to focus on and a path towards global interoperability.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador Idioma: En Revista: Histochem Cell Biol Asunto de la revista: CITOLOGIA / HISTOCITOQUIMICA Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador Idioma: En Revista: Histochem Cell Biol Asunto de la revista: CITOLOGIA / HISTOCITOQUIMICA Año: 2023 Tipo del documento: Article