David Breuer and Zoran Nikoloski
|Measured variables||network structure|
|Operating system||mac, windows, linux|
|Export formats||txt, svg|
|Other information||applicable to 2D and 3D image data of arbitrary networks|
img2net: automated network-based analysis of imaged phenotypesD. Breuer, Z. NikoloskiBioinformatics, 2017 View paper
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.