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Performing Quantitative Imaging Acquisition, Analysis and Visualization Using the Best of Open Source and Commercial Software Solutions

Published online by Cambridge University Press:  25 July 2016

Shailesh M. Shenoy*
Affiliation:
Department of Anatomy & Structural Biology, Gruss Lipper Biophotonics Center, and Integrated Imaging Program, Albert Einstein College of Medicine, Bronx NY 10461, USA

Abstract

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Type
Abstract
Copyright
© Microscopy Society of America 2016 

References

References:

[1] “Build Software Better, Together.” GitHub. (2016) <https://github.com/>..>Google Scholar
[2] “Micro-Manager Open Source Microscopy Software.” Micro-Manager. (2016) <https://www.micro-manager.org/>..>Google Scholar
[3] “ImageJ.” ImageJ. (2016) <http://rsb.info.nih.gov/ij/>..>Google Scholar
[4] “LabVIEW System Design Software.” - National Instruments. (2016) <http://www.ni.com/labview/>..>Google Scholar
[5] “MATLAB.” - The Language of Technical Computing. (2016) <http://www.mathworks.com/products/matlab/>..>Google Scholar
[6] The author acknowledges funding from the National Institutes of Health for project EB021236 awarded to RH Singer and project CA100324 awarded to J Condeelis and generous support of the Integrated Imaging Program by the EGL Charitable Foundation.Google Scholar