Applications/NeuronAnalyzer2D: Difference between revisions

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'''Example images'''<br/>
'''Example images'''<br/>
[ Neuron example images]
[ Neuron example images]
=== Updates ===
'''Since MiToBo version [[Downloads | 1.3]]'''
* Bugfix in neurite skeleton graph
* SWC files for single neurites are now generated and stored

Revision as of 13:49, 3 February 2014

Neuron Analyzer 2D

The Neuron Analyzer 2D is available since release version 1.1 of MiToBo.


Published in:
D. Misiak, S. Posch, .M. Lederer, C. Reinke, S. Hüttelmaier and B. Möller,
"Extraction of protein profiles from primary neurons using active contour models and wavelets".
Journal of Neuroscience Methods, Volume 225, Pages 1-12, 30 March 2014.

Name of Plugin/Operator:
NeuronAnalyzer2D (since MiToBo version 1.1)

Main features:

  • Neuron boundary detection based on active contours
  • Identification of structural neuron parts, like soma, neurites and growth cones
  • Morphology analysis, e.g., neurite length, average neurite width, number of branch and end points, growth cone size and shape roundness, etc.
  • Extraction of molecular profiles from fluorescently labeld molecules
  • Detection of molecular particles, for example FISH data


The R software environment ( must be installed to use the Neuron Analyzer 2D.
If R is installed on the system, two environment variables must be set. Perform the following steps on the commandline to set the variables:

  1. export R_HOME="/usr/lib/R" # path to your R installation
  2. export R_SCRIPTS="/path/to/ImageJ/share/scripts/R" # path to the R scripts, shipped with MiToBo zip file
  3. must be in the LD_LIBRARY_PATH

To save these variables permanently, copy the commands above to your local .bashrc file.

Note: The application is currently only available on Linux OS.
Current version of Neuron Analyzer 2D uses R version 3.0.2 (2013-09-25) with rJava_0.9-5 (jri_0.5-5)

Example images
Neuron example images


Since MiToBo version 1.3

  • Bugfix in neurite skeleton graph
  • SWC files for single neurites are now generated and stored