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

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-musclelab.github.io/GelBox/.

Link to resource: https://doi.org/10.1152/ajpheart.00144.2024

Type of resources: Reading

Education level(s): College / Upper Division (Undergraduates), Graduate / Professional

Primary user(s): Student, Teacher

Subject area(s): Life Science, Physical Science

Language(s): English