GelBox

GelBox combines image adjustments, background correction, band-fitting, and metadata association in a single application to improve rigor, reproducibility, and transparency in gel and immunoblot analysis.

Key Features:

• Image Adjustments: Performs cropping, rotation, brightness, and contrast adjustments on gel and immunoblot images.
• Background Correction: Corrects background signals to improve quantification accuracy.
• Band-Fitting: Fits bands for quantitative analysis of gel and immunoblot data.
• Metadata Association: Associates each lane in an image with metadata such as sample type.
• Integrated Data Files: Combines raw data, supplied metadata, image adjustments, and band-level analyses in a single file to improve traceability.

Scientific Applications:

• Gel Analysis: Quantitative analysis of protein or nucleic acid gels with improved rigor and reproducibility.
• Immunoblot Analysis: Western blot and other immunoblot quantification with transparent, traceable workflows.

Methodology:

Developed using MATLAB.