img2net


David Breuer and Zoran Nikoloski

Overview

Measured variables network structure
Operating system mac, windows, linux
Licence open-source, freeware
Automation level automated
Plant requirements any
Export formats txt, svg
Other information applicable to 2D and 3D image data of arbitrary networks

Scientific article(s)

img2net: automated network-based analysis of imaged phenotypes
D. Breuer, Z. Nikoloski
Bioinformatics, 2017 View paper

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.

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