Title |
Microscopy-BIDS: An Extension to the Brain Imaging Data Structure for Microscopy Data
|
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Published in |
Frontiers in Neuroscience, April 2022
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DOI | 10.3389/fnins.2022.871228 |
Pubmed ID | |
Authors |
Marie-Hélène Bourget, Lee Kamentsky, Satrajit S. Ghosh, Giacomo Mazzamuto, Alberto Lazari, Christopher J. Markiewicz, Robert Oostenveld, Guiomar Niso, Yaroslav O. Halchenko, Ilona Lipp, Sylvain Takerkart, Paule-Joanne Toussaint, Ali R. Khan, Gustav Nilsonne, Filippo Maria Castelli, The BIDS Maintainers, Julien Cohen-Adad, Stefan Appelhoff, Ross Blair, Eric Earl, Franklin Feingold, Anthony Galassi, Rémi Gau, Christopher J. Markiewicz, Taylor Salo |
Abstract |
The Brain Imaging Data Structure (BIDS) is a specification for organizing, sharing, and archiving neuroimaging data and metadata in a reusable way. First developed for magnetic resonance imaging (MRI) datasets, the community-led specification evolved rapidly to include other modalities such as magnetoencephalography, positron emission tomography, and quantitative MRI (qMRI). In this work, we present an extension to BIDS for microscopy imaging data, along with example datasets. Microscopy-BIDS supports common imaging methods, including 2D/3D, ex/in vivo, micro-CT, and optical and electron microscopy. Microscopy-BIDS also includes comprehensible metadata definitions for hardware, image acquisition, and sample properties. This extension will facilitate future harmonization efforts in the context of multi-modal, multi-scale imaging such as the characterization of tissue microstructure with qMRI. |
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Professor | 1 | 7% |
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