ome/ome-zarr-py:
Year: 2020
Type: software
Abstract: Experimental implementation of next-generation file format (NGFF) specifications for storing bioimaging data in the cloud.
Authors: Josh Moore, Will Moore, Sébastien Besson, Constantin Pape, jean-marie burel, toloudis, David Stansby, Giovanni Palla, Guillaume Gay, Evan Lyall, Satrajit Ghosh, Simon Li, Benjamin Rombaut, Minh Nhat Nguyen, Juan Nunez-Iglesias, aeisenbarth, Yaroslav Halchenko, Camilo Laiton, Tommaso Comparin, LucaMarconato, Dimitri Papadopoulos Orfanos, Andy Sweet, Dominik Kutra, Eric Perlman, Marc Claesen, M Bussonnier, Sean Martin, Talley Lambert, Heath Patterson
Institutions: University of Göttingen, University College London, France-BioImaging, Massachusetts Institute of Technology, Ghent University, Monash University, Dartmouth College, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, European Molecular Biology Laboratory, European Molecular Biology Laboratory, European Molecular Biology Laboratory, European Molecular Biology Laboratory, European Molecular Biology Laboratory, Quansight (United States), Harvard University
Language: German
Subfield: Biophysics
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W6931588827