University of Tubingen


Measured variables color
Operating system windows, mac, linux
Licence freeware
Automation level semi-automated
Plant requirements rosette
Export formats excell
Other information

Scientific article(s)

A guideline for leaf senescence analyses: from quantification to physiological and molecular investigations
Justine Bresson, Stefan Bieker, Lena Riester, Jasmin Doll, Ulrike Zentgraf
Journal of Experimental Botany, 2017 View paper


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.

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