Automated Segmentation of Complex Patterns in Biological Tissues: Lessons from Stingray Tessellated Cartilage
This is the supplementary research software source code for the publication
David Knoetel, Ronald Seidel, Steffen Prohaska, Mason N. Dean, Daniel Baum.
Automated Segmentation of Complex Patterns in Biological Tissues: Lessons
from Stingray Tessellated Cartilage.
PLOS ONE (in review)
It was developed at Zuse Institute Berlin (ZIB) and Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) and is provided under an MIT-style license (see LICENSE-tesserae-segmentation.txt).
This source code implements an extension package to the commercial visualization software Amira. The package can be compiled against Amira 6.3 using the XPand extension.
An archive with supplementary data is available for download from Dryad at doi:10.5061/dryad.f53s5. It includes instructions how use the software.