SPIN: Skeleton-based Polarity Identification for Neurons
What is SPIN
SPIN (SPIN: Skeleton-based Polarity Identification for Neurons) is a method designed to identify polarity of substructures of neurons solely based on their skeletons (tracing lines). The method has been tested on Drosophila neurons based on data available from Flycircuit database (http://www.flycircuit.tw/). Our test showed that SPIN can reach ~85%-95% accuracy at the terminal levels under various testing conditions.
How to obtain SPIN
SPIN is written in Matlab and is available for download at its developer site (https://bitbucket.org/cclo/the-spin-project) and here. SPIN is released under GPLv3.
Further information
Reference: Yi-Hsuan Lee, Yen-Nan Lin, Chao-Chun Chuang and Chung-Chuan Lo* (2014). SPIN: A Method of Skeleton-based Polarity Identification for Neurons. Neurinformatics 12:487-507.[link]