Microscopy Image Browser 2 (MIB2)
MIB2 is an update package for segmentation of multi-dimensional (2D-4D) microscopy datasets
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Citation pour cette source
Ilya Belevich (2026). Microscopy Image Browser 2 (MIB2) (https://github.com/Ajaxels/MIB2), GitHub. Extrait(e) le .
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.
Remerciements
Inspiré par : 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, xlwrite: Generate XLS(X) files without Excel on Mac/Linux/Win, drifty_shifty_deluxe.m, regionprops3
Informations générales
- Version (91,5 Mo)
-
Afficher la licence sur GitHub
Compatibilité avec les versions de MATLAB
- Compatible avec les versions R2014b et ultérieures
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 2.9100.0 | tons of changes: https://mib.helsinki.fi/downloads.html |
