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Morphological Object Localization: A Novel Image Analysis Pipeline for Quantitative Spatial Localization of Biomolecule Signal from Fluorescence Microscopy Data

Published online by Cambridge University Press:  30 July 2021

Andrew Soltisz ,
Rengasayee Veeraraghavan ,
Vladimir Bogdanov  and
Sandor Gyorke
Andrew Soltisz
Affiliation:
The Ohio State University, Columbus, Ohio, United States
Rengasayee Veeraraghavan
Affiliation:
The Ohio State University, Ohio, United States
Vladimir Bogdanov
Affiliation:
The Ohio State University, United States
Sandor Gyorke
Affiliation:
The Ohio State University, Columbus, Ohio, 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. 2584 - 2586
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

Bolte, S. & Cordelières, F. P. A guided tour into subcellular colocalization analysis in light microscopy. J. Microsc. 224, 213–232 (2006).CrossRefGoogle ScholarPubMed