IA-Lab: A MATLAB framework for efficient microscopy image analysis development, applied to quantifying intracellular transport of internalized peptide-drug conjugate

Adam M Corrigan, Johan Karlsson, Jan Wildenhain, Laurent Knerr, Maria Ölwegård-Halvarsson, Maria Karlsson, Svenja Lünse and Yinhai Wang

PLOS ONE, 2019, vol. 14, issue 8, 1-11

Abstract: This work presents a MATLAB-based software package for high-throughput microscopy image analysis development, making such development more accessible for a large user community. The toolbox provides a GUI and a number of analysis workflows, and can serve as a general framework designed to allow for easy extension. For a new application, only a minor part of the object-oriented code needs to be replaced by new components, making development efficient. This makes it possible to quickly develop solutions for analysis not available in existing tools. We show its use in making a tool for quantifying intracellular transport of internalized peptide-drug conjugates.The code is freely available as open source on GitHub (https://github.com/amcorrigan/ia-lab)

Date: 2019
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0220627 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 20627&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0220627

DOI: 10.1371/journal.pone.0220627

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().