Gulbulak Utku, Wellette-Hunsucker Austin G, Kampourakis Thomas, Campbell Kenneth S
Division of Cardiovascular Medicine, University of Kentucky, Lexington, Kentucky, United States.
Department of Physiology, University of Kentucky, Lexington, Kentucky, United States.
Am J Physiol Heart Circ Physiol. 2024 Sep 1;327(3):H715-H721. doi: 10.1152/ajpheart.00144.2024. Epub 2024 Aug 2.
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/. 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).
GelBox是一款开源软件，其开发目的是在分析凝胶和免疫印迹时提高严谨性、可重复性和透明度。它在一个应用程序中结合了图像调整（裁剪、旋转、亮度和对比度）、背景校正和条带拟合。用户还可以将图像中的每个泳道与元数据（例如样品类型）相关联。GelBox数据文件在单个文件中集成了原始数据、提供的元数据、图像调整和条带水平分析，以提高可追溯性。GelBox具有用户友好的界面，并且是使用MATLAB开发的。该软件、安装说明和教程可在https://campbell-muscle-lab.github.io/GelBox/获取。GelBox是一款开源软件，其开发目的是在分析凝胶和免疫印迹时提高严谨性、可重复性和透明度。它在一个应用程序中结合了图像调整（裁剪、旋转、亮度和对比度）、背景校正和条带拟合。用户还可以将图像中的每个泳道与元数据（例如样品类型）相关联。
