Spalding Lab @ University of Wisconsin
|Measured variables||count, diameter|
|Operating system||mac, windows, matlab, linux|
|Automation level||semi-automated, automated|
Image analysis of anatomical traits in stalk transections of maize and other grassesSven Heckwolf, Marlies Heckwolf, Shawn M Kaeppler, Natalia de Leon, Edgar P SpaldingPlant Methods, 2017 View paper
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