Faculty Advisor

Albrecht, Dirk

Faculty Advisor

Duffy, Joseph B.

Faculty Advisor

Ward, Matthew Oliver

Abstract

In the field of behavioral neuroscience, a need exists for an automated method of tracking neuronal activity in model organisms with rapid high-throughput screening. Current imaging methods are designed to only examine a single animal at a time, limiting the understanding of the range and variability of response to stimuli. Examining multiple animals can eliminate this problem. However, the bottleneck now shifts from the experiment to the data analysis as neural experiments become accelerated by 100 fold. The current software used for data analysis requires intense user supervision as moving neurons exhibit brief patterns of ambiguity. We present NeuroTracker 2.0, an improved software used to automatically track neuronal activity in C. elegans.

Publisher

Worcester Polytechnic Institute

Date Accepted

May 2014

Major

Biology and Biotechnology

Major

Biomedical Engineering

Major

Bioinformatics and Computational Biology

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Biomedical Engineering

Advisor Department

Biology and Biotechnology

Advisor Department

Computer Science

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