Plant Image Analysis Plant Image Analysis

img2net

David Breuer and Zoran Nikoloski
Download Developer
Scientific article
img2net: Automated network-based analysis of imaged phenotypes.
D. Breuer, Z. Nikoloski,
2014 , Bioinformatics , 0(0), 0
View at publisher | Download PDF


Description

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.

Gallery
Share your experience
blog comments powered by Disqus
Submit your own rating
Overview
Operating system
mac, windows, linux,

Licence
open-source, freeware,

Measured variables
network structure,

Automation level
automated,

Plant requirements
any,

Image requirements
jpg, tiff, png,

Export formats
txt, svg,

Other information
applicable to 2D and 3D image data of arbitrary networks

Additional information

The software is available as open source under GPL3, as binaries (Linux), and as executable (Windows).

Similar software