OME-Zarr: a cloud-optimized bioimaging file format with international community support
Abstract A growing community is constructing a next-generation file format (NGFF) for bioimaging to overcome problems of scalability and heterogeneity. Organized by the Open Microscopy Environment (OME), individuals and institutes across diverse modalities facing these problems have des...
Main Authors: | Moore, Josh, Basurto-Lozada, Daniela, Besson, Sébastien, Bogovic, John, Bragantini, Jordão, Brown, Eva M., Burel, Jean-Marie, Casas Moreno, Xavier, de Medeiros, Gustavo, Diel, Erin E., Gault, David, Ghosh, Satrajit S., Gold, Ilan, Halchenko, Yaroslav O. |
---|---|
Other Authors: | McGovern Institute for Brain Research at MIT |
Format: | Article |
Language: | English |
Published: |
Springer Berlin Heidelberg
2023
|
Online Access: | https://hdl.handle.net/1721.1/151126 |
Similar Items
-
OME-Zarr: a cloud-optimized bioimaging file format with international community support
by: Moore, Josh, et al.
Published: (2023) -
Fractal: An open-source framework for reproducible bioimage analysis at scale using OME-Zarrs
by: Lüthi Joel
Published: (2024-01-01) -
Reading and writing omes
by: George M Church
Published: (2013-01-01) -
Online Machine Engineering (OME)
by: Tan, Kok Hui.
Published: (2008) -
The Biological Observation Matrix (BIOM) format or: how I learned to stop worrying and love the ome-ome
by: McDonald Daniel, et al.
Published: (2012-07-01)