University of Tubingen
|Operating system||windows, mac, linux|
ACA is based on grouping of each pixel of a picture depending on its position in the hue saturation value (HSV) colour-space. Leaves were individually separated in single images using a semi-automatically ImageJ macro. Each pixel inside a leaf was then clustered into one of the following categories: green, green-yellow, yellow, brown, purple or unknown, using a R-script. ACA can be used in a non-invasive manner at the whole-rosette level, or in detached leaves. Non-invasive application on whole-rosettes also allows pre-screening of many plant lines before starting with detailed phenotyping of selected lines, or even the use of automated phenotyping platforms.