PT  - JOURNAL ARTICLE
AU  - Hanchuan Peng
AU  - Zhi Zhou
AU  - Erik Meijering
AU  - Ting Zhao
AU  - Giorgio A. Ascoli
AU  - Michael Hawrylycz
TI  - Automatic Tracing of Ultra-Volume of Neuronal Images
AID  - 10.1101/087726
DP  - 2016 Jan 01
TA  - bioRxiv
PG  - 087726
4099  - http://biorxiv.org/content/early/2016/11/14/087726.short
4100  - http://biorxiv.org/content/early/2016/11/14/087726.full
AB  - Despite substantial advancement in the automatic tracing of neurons' morphology in recent years, it is challenging to apply the existing algorithms to very large image datasets containing billions or more voxels. We introduce UltraTracer, a solution designed to extend any base neuron-tracing algorithm to be able to trace virtually unlimited data volumes. We applied this approach to neuron-tracing algorithms with completely different design principles and tested on challenging human and mouse neuron datasets that have hundreds of billions of voxels. Results indicate that UltraTracer is scalable, accurate, and about 3 to 6 times more efficient compared to other state-of-the-art approaches.