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Figure 1. Logical scheme of image improvement and analysis for biometric criteria quantification. Morphological observation results in binary information such as spinal cord or organs integrity, while objects detection and segmentation provides quantitative biometrical description of each tadpole.
Figure 2. Biometric analysis of 4 different tadpoles. NT corresponds to non-treated animal while A-C are tadpoles grown in contaminated environment. White arrows illustrate some of the morphological defects enlightened by the image improvement step. D corresponds to biometrical quantification from A-C normalized on measurements performed on NT, with: i) length and perimeter; ii) eyes, corresponding to the distance between the both animal’s eyes centroids in ventral position; iii) suction cup corresponding to the distance between the isobarycenter of both eyes and the suction cup. N/l stands for the parameters also normalized on the length of the concerned animal. Doted orange line corresponds to NT. Scale bar 1 mm.
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