About this resource

    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
    Cluster
    Transparency and Reproducibility in Computation and Analysis
    Last updated
    12 January 2025
    Reading

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

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

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    Level College / Upper Division (Undergraduates), Graduate / Professional · For Student, Teacher · Language English

    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/.

    Keywords GelBox · Gels · Immunoblots · Reproducibility