Difference between revisions of "MaMuT"

Line 21: Line 21:
* {{Publication | MaMuT}}
* {{Publication | MaMuT}}
== Presentation. ==
== Presentation. ==

Revision as of 09:09, 22 March 2017

MaMuT logo-256x256.png
MaMuT (Fiji)
Author Jean-Yves Tinevez, Tobias Pietzsch
Maintainer Jean-Yves Tinevez
Source on GitHub
Initial release 06/01/2015
Development status v0.27.0, active
Category Segmentation, Tracking, Category:Plugins

A Fiji plugin for the annotation of massive, multi-view data.

Enable the MaMuT update site to get it.



MaMuT is an end user plugin that combines the BigDataViewer and TrackMate to provide an application that allow browsing, annotating and curating annotations for large image data.

MaMuT presentation.png

The main window resembles the display panel of TrackMate. It controls how the annotations are displayed. Using the MaMuT Viewer button, several views of the data can be launched. They will all be in sync. Each of them is an instance of the BigDataViewer.

MaMuT WindowsInSync.png

We privileged annotations that are like lineages, or object followed over time (which is what TrackMate does). MaMuT ships TrackScheme, the lineage browser taken from TrackMate.

MaMuT WithTrackScheme.png

However, MaMuT itself does not ship any fully-automated or tracking algorithm. It is meant for manual or semi-automatic annotation. Still, we made the GUI comfortable enough so that you can quickly generate rather large annotations. A semi-automated segmentation can help you generating quickly lineage branches from single cells.

MaMuT LargeAnnotationsQuickly.png

User documentation.

The following pages are tutorials that will guide you through MaMuT and walk you though its features.

  • Getting started with MaMuT is an introduction tutorial. It will show you how to prepare a dataset for MaMuT and make your first annotations with it.

Developer documentation.