Abstract-Electron microscopy is an important modality for the analysis of neuronal structures in neurobiology. We address the problem of tracking axons across large distances in volumes acquired by Serial Block-Face Scanning Electron Microscopy (SBFSEM). This is a challenging problem due to the small crosssectional size of axons and the low signal-to-noise ratio in SBF-SEM images. A carefully engineered algorithm using Kalmansnakes and optic flow computation, which takes advantage of the two-and-a-half dimensional nature of the data, is presented. Validation results indicate that this algorithm can significantly speed up the task of axon tracking.
Jurrus et al. REF used Kalman-snakes and optical flow computation to track axons across large distances in volumes acquired by serial blockface scanning EM.
Axon Tracking in Serial Block-Face Scanning Electron Microscopy
ICIP (3)
Computer Science Medicine