Table 1 Algorithm for recursive splitting of synapse clumps
From: Learning-guided automatic three dimensional synapse quantification for drosophila neurons
STEP 1 | Perform maximum intensity projection of the detected 3D synapse object. |
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STEP 2 | Obtain the contour points of the synapse cluster. |
STEP 3 | Calculate the concavity score of the contour points based on Eq. (2). |
STEP 4 | Choose a detected marker (denoted M1) from the markers pool P, whose sum distance from the rest of the markers is maximum. |
STEP 5 | Split M1 from the rest of the markers. Start from the highest concavity point, A, look for a point B so that segment AB splits marker M1 from the rest N-1 markers. If no such segment was found, move to the contour point with next highest concavity and repeat until a good split is found. When multiple segments AB were found, the optimal pair that maximizes Eq. (1) us used. |
STEP 6 | Assign new identity to voxels of the newly split synapse for quantification statistics. |
STEP 7 | REPEAT STEP 4, until P only has one marker left. |