Methods and systems for tracking movement of microscopic worms and worm-like organisms, and software therefor

Methods and systems for tracking one or more worms or worm-like organisms over a sequence of video frames in virtual real time. The methods and systems can include a robust organism model that accounts for shape changes that occur from one frame to another, such as peristaltic progression, longitudinal deformation, lateral deformation, and bending action. Other features disclosed include: features that allow a user to correct tracking errors, such as splitting a single organism track into two tracks, joining two organism tracks into a single track, switching locations of physical features (such as heads and tails of worms), deleting undesired tracked organisms, and manually tracing organism outlines for model fitting; features that allow a user to set tracking parameters by selecting one or more organisms having desired characteristics; features for automatedly resolving interactions between/among multiple organisms; and features for handling multiple tracking hypotheses, among others.

Supported by VT EPSCoR SBIR Phase (0) award "Automated tracking and analysis of freely behaving C. elegans populations" (2007).