With MIB2 you can analyse, segment and visualize various multidimensional datasets from both light and electron microscopy. MIB2 is completely rewritten to follow MVC architecture and brings additional stability among many new features.
See more further details and tutorials on MIB website: http://mib.helsinki.fi
I would like to acknowledge Matlab File Exchange user community and especially the authors whose functions were utilized during development of the program:
The MIB version 1 is available from here http://se.mathworks.com/matlabcentral/fileexchange/56481-microscopy-image-browser--mib- and recommended for Matlab version: R2011a - 2014a
Ilya Belevich (2020). Microscopy Image Browser 2 (MIB2) (https://github.com/Ajaxels/MIB2), GitHub. Retrieved .
Belevich, Ilya, et al. “Microscopy Image Browser: A Platform for Segmentation and Analysis of Multidimensional Datasets.” PLOS Biology, vol. 14, no. 1, Public Library of Science (PLoS), Jan. 2016, p. e1002340, doi:10.1371/journal.pbio.1002340.
Belevich, Ilya, and Eija Jokitalo. DeepMIB: User-Friendly and Open-Source Software for Training of Deep Learning Network for Biological Image Segmentation. Cold Spring Harbor Laboratory, July 2020, doi:10.1101/2020.07.13.200105.
Inspired by: view3d.m, IMAGEVIEWER, findjobj - find java handles of Matlab graphic objects, 3D Euclidean Distance Transform for Variable Data Aspect Ratio, Region Adjacency Graph (RAG), stlwrite - write ASCII or Binary STL files, maxflow, Viewer3D, export_fig, Hessian based Frangi Vesselness filter, Accurate Fast Marching, Fast/Robust Template Matching, imgaussian, Highly portable JSON-input parser, Jann5s/measuretool, Render RGB text over RGB or Grayscale Image, improved xlswrite.m, xml2struct, struct2xml, Hardware accelerated 3D viewer for MATLAB, mdrohmann/mtocpp, NRRD Format File Reader, xlwrite: Generate XLS(X) files without Excel on Mac/Linux/Win, drifty_shifty_deluxe.m, regionprops3
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