To download MIB please select the distribution and press the corresponding button on the right:

• Matlab version - this is recommended option for those who have a Matlab license
• Standalone for Windows - MIB compiled for Matlab R2019b
• Standalone for Windows, recent Matlab - MIB compiled for the recent release of Matlab
• Standalone for MacOS - MIB compiled for Matlab R2019b for Mac OS
• GitHub - MIB source code on GitHub, virtually identical to the Matlab version above

Please look here for installation details.

Version 2.70 (18.05.2020)
• The standalone version of MIB comes with R2019b
• Added DeepMIB for training and prediction of datasets using deep convolutional networks (Menu->Tools->Deep learning segmentation)
• Added 2D Elastic Distortion filter (Menu->Image->Image Filters)
• Added resizing of the Image Arithmetics window
• Added selection of a seed for random generator for Rename and Shuffle tool
• Fixed issues with importing of chopped cropped datasets

Click to access archive with previous versions of MIB2

Version 1.305 23.12.2016
• Improved and simplified the Segmentation panel
• Added list of recent directories
• Added "Mask_" prefix to filename when saving masks
• Added "FirstAxisLength" and "SecondAxisLength" properties to the Get Statistics dialog for calculation of exact lengths of the objects (ver 1.302)
• Added default state of the link channels checkbox to selected in the Display adjustment dialog (ver 1.302)
• The contrast normalization over selected areas in Z does not require selection of all slices
• Fix of substructures in Dataset Info dialog
• Fix of fine-tune checkbox for the freehand mode of the measure tool
• Improved performance of black-and-white thresholding
• Fix of add matarial bug (ver 1.303)
• Fix of export annotations to a file for MacOS (ver 1.303)
• Fix startup crashes for compiled MIB on some windows configurations (ver 1.304)
• Update of font size for buttons and popup menus (ver 1.305)
• Fix of a bug in the masked-based image alignment tool (ver 1.305)