download the current TREES toolbox for more recent Matlab versions:
Note: TREES 2.0 is coming soon; this is an interim version with the most recent features but is not entirely backward compatible, and does not yet contain the new features of TREES 2.0. Note also that recent Matlab versions are incompatible with version 1.15 and require the changes made in this package
[TREES - Github repository]
download stable versions of the TREES toolbox for Matlab:
[download current version from Github]
[download zipped TREES interim, corrected for T2N use]
[download zipped TREES interim]
[download zipped TREES 1.15]
requirements Tested most thoroughly on the more recent Matlab versions
(Matlab 2018a, 2017b, 2015b for v.1.15 and 2010a for first version)
under Windows, Mac and Linux.
Some functions for the reconstruction of neuronal trees from image stacks
require the "image processing toolbox" of Matlab.
For semi-automated reconstruction we recommend following minimal hardware:
- a lot of RAM, e.g. 8 Gbytes
- 64 bit
- a mouse wheel
The original version of TREES toolbox was developed on a DELL precision T5400 with 8 cores (2 x Xeon X5450 3 Ghz 4 cores), 8 Gbytes of RAM and a NVIDIA Quadro FX 4600 graphic card, running 64-bit Microsoft Windows 7.
getting started Simply download TREES.zip (v1.15), unzip it in your favourite directory and open Matlab. Enter the TREES directory and type in:
for more details have a look at the manual.
license the TREES toolbox is published under the GNU General Public License Version 3 (GPLv3)
disclaimer Please note that this is a beta version and that we are aware that many bugs will be uncovered after making the TREES toolbox public. Unfortunately we do not possess the capacities to respond to all requests and questions sent to us. Please note also that subsequent releases will not be backward compatible.
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License
last updated on 7 April 2019, Hermann Cuntz