Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-24T14:36:53.371Z Has data issue: false hasContentIssue false
  • English
  • Français

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
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

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Abstract
Information
Microscopy and Microanalysis , Volume 22 , Supplement S3: Proceedings of Microscopy & Microanalysis 2016 , July 2016 , pp. 2064 - 2065
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