{Reference Type}: Journal Article
{Title}: GelBox: open-source software to improve rigor and reproducibility when analyzing gels and immunoblots.
{Author}: Gulbulak U;Wellette-Hunsucker AG;Kampourakis T;Campbell KS;
{Journal}: Am J Physiol Heart Circ Physiol
{Volume}: 327
{Issue}: 3
{Year}: 2024 Sep 1
{Factor}: 5.125
{DOI}: 10.1152/ajpheart.00144.2024
{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).