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'''What is MiToBo?'''<br> | '''What is MiToBo?'''<br> | ||
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'''Latest News'''<br> | '''Latest News'''<br> | ||
* 06/2015: Version 1.5 of MiToBo has been released<br/> This release ships with the new [[Applications/MTBCellCounter | MTB Cell Counter]] plugin for semi-automatic segmentation and annotation of cell images. Details about the plugin (derived from the [http://fiji.sc/Cell_Counter CellCounter plugin] written by Kurt de Vos) can be found on the [[Applications/MTBCellCounter | MTB Cell Counter wikipage]] and in the corresponding paper of Franke et al., "''The 'MTB Cell Counter' a versatile tool for the semi-automated quantification of sub-cellular phenotypes in fluorescence microscopy images. A case study on plastids, nuclei and peroxisomes''.", which just appeared in the Journal of Endocytobiosis and Cell Research, (26) 31-42, 2015, to be found [http://zs.thulb.uni-jena.de/receive/jportal_jparticle_00342296 here]. | * 06/2015: Version 1.5 of MiToBo has been released<br/> This release ships with the new [[Applications/MTBCellCounter | MTB Cell Counter]] plugin for semi-automatic segmentation and annotation of cell images. Details about the plugin (derived from the [http://fiji.sc/Cell_Counter CellCounter plugin] written by Kurt de Vos) can be found on the [[Applications/MTBCellCounter | MTB Cell Counter wikipage]] and in the corresponding paper of Franke et al., "''The 'MTB Cell Counter' a versatile tool for the semi-automated quantification of sub-cellular phenotypes in fluorescence microscopy images. A case study on plastids, nuclei and peroxisomes''.", which just appeared in the Journal of Endocytobiosis and Cell Research, (26) 31-42, 2015, to be found [http://zs.thulb.uni-jena.de/receive/jportal_jparticle_00342296 here]. | ||
The news archive can be found [[News Archive | here]]. | The news archive can be found [[News Archive | here]]. |
Revision as of 10:14, 18 June 2015
MiToBo - A microscope image analysis toolbox
What is MiToBo?
Furthermore, MiToBo offers a user- and programmer friendly framework for developing algorithms that have properties not available in ImageJ,
MiToBo completely separates the implementation of image processing algorithms from potential user interfaces.
MiToBo takes full advantage of Alida's features, hence, provides a framework for implementing image analysis algorithms allowing for automatic documentation and automatic user interface generation, and includes the graphical programming editor Grappa for user-friendly design of more complex processing pipelines. |
Latest News
The news archive can be found here.
Licensing information
Bug reports & Feature requests |