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]

Join the lab

Ever wondering how complicated cognitive behavior is formed from interactions between neurons? Join our lab and we will help you to find out how. Please contact Chung-Chuan Lo () for more details.