Figure 1

Use of LAMINA to quantify leaf characteristics in the SwAsp collection. A Screenshot of LAMINA. B Example cropped image generated by LAMINA showing dimension measurements and serration detection. C Example cropped image generated by LAMINA. Cavities (holes) in the leaf lamina are marked in green, serrations are marked in blue and the depth of each serration is marked by a yellow line. Horizontal and vertical centre lines are drawn in red with sub-divisions marked in blue. Boundary coordinates are shown as white circles along the perimeter. D Regression analysis to compare data generated from ImageJ to LAMINA for a set of 50 random images. E Principal Component Analysis loadings plot of X and Y coordinates generated for the SwAsp dataset using LAMINA (50 boundary coordinates per leaf). The leaf in the centre is the value closest to the centre of the cloud and has been oriented to match the distribution of XY values in the loadings plot. Component one appears to represent leaf width (55 % variance) and component two leaf length (27 % variance).