Fig. 9From: High-throughput method for detection and quantification of lesions on leaf scale based on trypan blue staining and digital image analysisLeaf morphometric parameters for different levels of standardised artificial damage (0–5) inflicted on spinach leaves. Results shown are average values for negative (N = 25) images and each damage level for positive (N = 5) images. The morphometric parameters A leaf area, B number of lesions, C lesion area and D leaf damage (%) were compared. Area was measured in pixels (px) and leaf damage was calculated as \(Damage = \left( {\frac{lesion area}{leaf area}} \right) \times 100\). Dashed horizontal line represents the overall mean across damage levels. A nonparametric Kruskal–Wallis test was used, followed by Dunn′s post hoc test. Significant differences (p ≤ 0.05) identified in the post hoc test are indicated by different lower-case letters (a, b) (Additional file 7). E Results of linear regression analysis between number of lesions and lesion sizeBack to article page