Stalk Analyzer


Spalding Lab @ University of Wisconsin

Overview

Measured variables count, diameter
Operating system mac, windows, matlab, linux
Licence open-source, freeware
Automation level semi-automated, automated
Plant requirements monocot
Export formats txt
Other information -

Scientific article(s)

Image analysis of anatomical traits in stalk transections of maize and other grasses
Sven Heckwolf, Marlies Heckwolf, Shawn M Kaeppler, Natalia de Leon, Edgar P Spalding
Plant Methods, 2017 View paper

Description

To meet the need for large-scale measurements of stalk anatomy features, we developed custom image processing software that utilized a variety of global thresholding, local filtering, and feature detection methods to measure rind thickness, pith area, vascular bundle counts, and individual vascular bundle size from digital images of hand-cut transections of stalks collected with a flatbed document scanner. The tool determined vascular bundle number with an average accuracy of 90% across maize genotypes that varied five-fold for this trait. The method is demonstrated on maize, sorghum, and Miscanthus stalks.


Source: Plan Methods

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