[
International Worm Meeting,
2015]
In recent years, fluorescent imaging has been used more and more to capture the state of biological systems at different moments in time. For many researchers, analysis of the fluorescent image data has become the limiting factor of this new technique. We have developed NEPIC, a semi-automated tool for finding and tracking the soma of a single neuron over an entire movie of grayscale calcium image data. When tested on calcium image movies of the AWC neuron in C. elegans under highly variant conditions, NEPIC correctly identified the neuronal soma in 95.48% of the movie frames, and successfully tracked this soma feature across 98.60% of the frame transitions. Although support for finding and tracking multiple fluorescing Regions of Interest (or fROIs) has yet to be implemented, NEPIC displays promise as a tool for assisting researchers in the bulk analysis of fluorescent imaging data.