File	Date	Author	Commit
SampleCells	2016-04-18	Paulo de Castro Aguiar	[700ca1] Initial commit
doc	2016-04-18	Paulo de Castro Aguiar	[700ca1] Initial commit
.gitattributes	2016-04-18	Paulo de Castro Aguiar	[69d4b1] :circus_tent: Added .gitattributes & .gitignore...
.gitignore	2016-04-18	Paulo de Castro Aguiar	[69d4b1] :circus_tent: Added .gitattributes & .gitignore...
DataContainers.py	2016-04-18	Paulo de Castro Aguiar	[700ca1] Initial commit
DrawingFun.py	2016-04-18	Paulo de Castro Aguiar	[700ca1] Initial commit
DrawingXtras.py	2016-04-18	Paulo de Castro Aguiar	[700ca1] Initial commit
GUI.py	2016-04-18	Paulo de Castro Aguiar	[700ca1] Initial commit
InterpolateFun.py	2016-04-18	Paulo de Castro Aguiar	[700ca1] Initial commit
N3DFix.py	2016-04-18	Paulo de Castro Aguiar	[700ca1] Initial commit
NeuroLucidaXMLParser.py	2016-04-18	Paulo de Castro Aguiar	[700ca1] Initial commit
README.txt	2016-04-18	Paulo de Castro Aguiar	[700ca1] Initial commit
Read_Write_SWC.py	2016-04-18	Paulo de Castro Aguiar	[700ca1] Initial commit
myconfig.py	2016-04-18	Paulo de Castro Aguiar	[700ca1] Initial commit
mytools.py	2016-04-18	Paulo de Castro Aguiar	[700ca1] Initial commit
optimization.py	2016-04-18	Paulo de Castro Aguiar	[700ca1] Initial commit
py3DN.py	2016-04-18	Paulo de Castro Aguiar	[700ca1] Initial commit

Read Me

Welcome!
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Py3DN, is an open-source solution providing innovative tools to analyze 3D data collected with the widely used commercial system Neurolucida (MBF). It allows the construction of mathematical representations of neuronal topology, visualization and a variety of morphometric analysis on the neuronal structures. Above all, it provides a flexible environment where new types of analyses can be easily set up allowing total freedom to test new hypotheses. The application was developed in Python and uses Blender (an open source program) to produce detailed 3D representations of raw and processed data.

Py3DN is described in the paper:
Aguiar P et al, "Versatile morphometric analysis and visualization of the three-dimensional structure of neurons", Neuroinformatics, 2013, 11(4):393-403
doi: 10.1007/s12021-013-9188-z


VIDEO TUTORIALS
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It is important that you check the video tutorials in the py3DN\doc folder!


If you have problems installing or using py3DN, don't by shy - send me an email:

Paulo Aguiar
pauloaguiar@ineb.up.pt