img2netDavid Breuer and Zoran Nikoloski
Automated analysis of imaged phenotypes enables fast and reproducible quantification of biologically relevant features. Despite recent developments, recordings of complex, networked structures, such as: leaf venation patterns, cytoskeletal structures, or traffic networks, remain challenging to analyze. Here we illustrate the applicability of img2net to automatedly analyze such structures by reconstructing the underlying network, computing relevant network properties, and statistically comparing networks of different types or under different conditions. The software can be readily used for analyzing image data of arbitrary 2D and 3D network-like structures.
Share your experience
Submit your own rating
Operating systemmac, windows, linux,
Measured variablesnetwork structure,
Image requirementsjpg, tiff, png,
Export formatstxt, svg,
Other informationapplicable to 2D and 3D image data of arbitrary networks
The software is available as open source under GPL3, as binaries (Linux), and as executable (Windows).
Other tools for the analysis of general: