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

PLoS One. 2019 Aug 1;14(8):e0220627. doi: 10.1371/journal.pone.0220627. eCollection 2019.

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).

MeSH terms

  • Algorithms
  • Biological Transport
  • Glucagon-Like Peptide-1 Receptor / metabolism
  • Humans
  • Image Processing, Computer-Assisted* / methods
  • Molecular Targeted Therapy* / methods
  • Peptides / metabolism*
  • Software
  • Transferrin / metabolism

Substances

  • Glucagon-Like Peptide-1 Receptor
  • Peptides
  • Transferrin

Associated data

  • Dryad/10.5061/dryad.s3v72hb

Grants and funding

All authors are or were employees of AstraZeneca. AstraZeneca provided the funding for this research and provided support in the form of salaries for all authors, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.