GelBox: open-source software to improve rigor and reproducibility when analyzing gels and immunoblots

Utku Gulbulak, Austin G. Wellette-Hunsucker, Thomas Kampourakis, Kenneth S. Campbell

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

GelBox is open-source software that was developed with the goal of enhancing rigor, reproducibility, and transparency when analyzing gels and immunoblots. It combines image adjustments (cropping, rotation, brightness, and contrast), background correction, and band-fitting in a single application. Users can also associate each lane in an image with metadata (for example, sample type). GelBox data files integrate the raw data, supplied metadata, image adjustments, and band-level analyses in a single file to improve traceability. GelBox has a user-friendly interface and was developed using MATLAB. The software, installation instructions, and tutorials, are available at https://campbell-muscle-lab.github.io/GelBox/. NEW & NOTEWORTHY GelBox is open-source software that was developed to enhance rigor, reproducibility, and transparency when analyzing gels and immunoblots. It combines image adjustments (cropping, rotation, brightness, and contrast), background correction, and band-fitting in a single application. Users can also associate each lane in an image with metadata (for example, sample type).

Original languageEnglish
Pages (from-to)H715-H721
JournalAmerican Journal of Physiology - Heart and Circulatory Physiology
Volume327
Issue number3
DOIs
StatePublished - Sep 2024

Bibliographical note

Publisher Copyright:
© 2024 the American Physiological Society.

ASJC Scopus subject areas

  • Physiology
  • Cardiology and Cardiovascular Medicine
  • Physiology (medical)

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