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MoBIE: A free and open-source platform for integration and cloud-based sharing of multi-modal correlative big image data

Published online by Cambridge University Press:  30 July 2021

Christian Tischer
Affiliation:
EMBL Heidelberg, United States
Constantin Pape
Affiliation:
EMBL Heidelberg, United States
Kimberly Meechan
Affiliation:
EMBL Heidelberg, United States
Valentyna Zinchenko
Affiliation:
EMBL Heidelberg, United States
Martin Schorb
Affiliation:
EMBL Heidelberg, United States
Hernando Vergara
Affiliation:
Sainsbury Wellcome Centre, United States
Detlev Arendt
Affiliation:
EMBL Heidelberg, United States
Anna Kreshuk
Affiliation:
EMBL Heidelberg, United States
Yannick Schwab
Affiliation:
EMBL Heidelberg, United States
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Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
From Images to Insights: Working with Large Multi-modal Data in Cell Biological Imaging
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

Vergara, et al. , “Whole-body integration of gene expression and single-cell morphology”, bioRxiv, https://doi.org/10.1101/2020.02.26.961037, 2020CrossRefGoogle Scholar
Schindelin, et al. , “Fiji: an open-source platform for biological-image analysis”, 2012, Nat. Methods 9, 676682.CrossRefGoogle ScholarPubMed
Pietzsch, et al. , “BigDataViewer: visualization and processing for large image data sets”, 2015, Nat. Methods 12, 481483.CrossRefGoogle ScholarPubMed
Schmid, et al. , “A high-level 3D visualization API for Java and ImageJ”, 2010, BMC Bioinformatics, 11(1): 1CrossRefGoogle ScholarPubMed
Cortese, et al. , “Integrative Imaging Reveals SARS-CoV-2-Induced Reshaping of Subcellular Morphologies”, Cell Host & Microbe, 2020, 28, 853-866.e5CrossRefGoogle ScholarPubMed
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MoBIE: A free and open-source platform for integration and cloud-based sharing of multi-modal correlative big image data
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MoBIE: A free and open-source platform for integration and cloud-based sharing of multi-modal correlative big image data
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