Bioimaging has now entered the era of big data with faster than ever development of complex microscopy technologies leading to increasingly complex datasets. This enormous increase in data size and informational complexity within those datasets has brought with it several difficulties in terms of common and harmonized data handling, analysis and management practices, which are currently hampering the full potential of image data being realized. Here we outline a wide range of efforts and solutions currently being developed by the microscopy community to address these challenges on the path towards FAIR bioimage data. We also highlight how different actors in the microscopy ecosystem are working together, creating synergies that develop new ...
Data sharing is important in the biological sciences to prevent duplication of effort, to promote sc...
For over 15 years, the Open Microscopy Environment (OME) Data Model has provided a basis for the sto...
The rapid advancements in biological imaging and the increasing complexity of image data call for a ...
Over the past twenty years there have been great advances in light microscopy with the result that m...
Poster Nr. 1571 presented at the 2022 ASCB and EMBO Cell Biology Meeting held on December 3-7, 2022...
The National Research Data Infrastructure (NFDI) paves the way for community-driven, closely connect...
Oral presentation, 32nd MoMAN "From Molecules to Man" Seminar, Ulm, online. Monday February 6th, 202...
International audienceOpen science and FAIR principles are major topics in the field of modern micro...
A growing community is constructing a next-generation file format (NGFF) for bioimaging to overcome ...
Advances in microscopy have led to an unprecedented surge in image data production, resulting in dat...
The application of microscopy in biomedical research has come a long way since Antonie van Leeuwenho...
Image analysis is key to extracting quantitative information from scientific microscopy images, but ...
International audienceWorkflows are the keystone of bioimage analysis, and the NEUBIAS (Network of E...
Workflows are the keystone of bioimage analysis, and the NEUBIAS (Network of European BioImage Analy...
For the information content of microscopy images to be appropriately interpreted, reproduced, and me...
Data sharing is important in the biological sciences to prevent duplication of effort, to promote sc...
For over 15 years, the Open Microscopy Environment (OME) Data Model has provided a basis for the sto...
The rapid advancements in biological imaging and the increasing complexity of image data call for a ...
Over the past twenty years there have been great advances in light microscopy with the result that m...
Poster Nr. 1571 presented at the 2022 ASCB and EMBO Cell Biology Meeting held on December 3-7, 2022...
The National Research Data Infrastructure (NFDI) paves the way for community-driven, closely connect...
Oral presentation, 32nd MoMAN "From Molecules to Man" Seminar, Ulm, online. Monday February 6th, 202...
International audienceOpen science and FAIR principles are major topics in the field of modern micro...
A growing community is constructing a next-generation file format (NGFF) for bioimaging to overcome ...
Advances in microscopy have led to an unprecedented surge in image data production, resulting in dat...
The application of microscopy in biomedical research has come a long way since Antonie van Leeuwenho...
Image analysis is key to extracting quantitative information from scientific microscopy images, but ...
International audienceWorkflows are the keystone of bioimage analysis, and the NEUBIAS (Network of E...
Workflows are the keystone of bioimage analysis, and the NEUBIAS (Network of European BioImage Analy...
For the information content of microscopy images to be appropriately interpreted, reproduced, and me...
Data sharing is important in the biological sciences to prevent duplication of effort, to promote sc...
For over 15 years, the Open Microscopy Environment (OME) Data Model has provided a basis for the sto...
The rapid advancements in biological imaging and the increasing complexity of image data call for a ...