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

Abstract

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Type
From Images to Insights: Working with Large Multi-modal Data in Cell Biological Imaging
Information
Microscopy and Microanalysis , Volume 27 , Supplement S1 , August 2021 , pp. 2588 - 2589
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Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

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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