Plant Image Analysis Plant Image Analysis

LobeFinder

Purdue University
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Scientific article
LobeFinder: a convex hull-based method for quantitative boundary analyses of lobed plant cells.
TC. Wu, S. Belteton, J. Pack, DB. Szymanski, D. Umulis,
2016 , Plant Physiol. , 0(0), 0
View at publisher | Download PDF


Description

LobeFinder is a convex-hull based algorithm to identify lobes, quantify geometric properties, and create a useful graphical output for further analysis. The algorithm was validated against manually curated cell images of pavement cells of widely varying sizes and shapes. The ability to objectively count and detect new lobe initiation events provides an improved quantitative framework to analyze mutant phenotypes, detect symmetry-breaking events in time-lapse image data, and quantify the time-dependent correlation between cell shape change and intracellular factors that may play a role in the morphogenesis process.


Modified from Plant Physiology article

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Overview
Operating system
windows, mac, linux, matlab,

Licence
freeware,

Measured variables
shape, growth, surface,

Automation level
semi-automated,

Plant requirements
any,

Image requirements
designed for confocal images with GFP membrane tagging,

Export formats
csv,

Other information
requires MatLab

Similar software
Other tools for the analysis of cell,leaf: