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{\Large
  The Department of Computer Science and Engineering\\
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  University of Nevada, Reno
}

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{\large cordially invites you to a Master's colloquium}

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{\huge \bf Semi-Automated Analysis Software
for a Novel Biochemistry Assay

}

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A thesis submitted in partial fulfillment of the\\
requirements for the degree of Master of Science\\
with a major in Computer Science.

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by

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{\LARGE Joseph M. Vesco}

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\noindent
{\bf Abstract:}
{

Some of the work done in the Baker lab at the University of Nevada, Reno has
been directed towards the analysis of muscle tissue in a single molecule arrangement.
The process is a novel high-throughput single molecule binding assay, or SiMBA for
short. This assay is performed by placing the myosin portion of the muscle tissue on a
slide and looking at how the actin portion is attracted to these myosin. The conditions
are varied and the response of the labeled action to these changes are observed. In
order to analyze the binding times and unbound times a researcher must observe the
interacts and manually collect the data. This particular method of data collection is
tedious and time consuming thereby making this portion of the experiment the ``rate
limiting" factor for producing results in a timely manner. As this can take many
hours to analyze a one minute long movie a automated or semi-automated solution
would be beneficial to this assay. This thesis presents the design and implementation
of a semi-automated solution for identifying and tracking a variable number of objects
that exhibit a multitude of behavior, and extracting the specific behaviors of motion
and stagnation as well as the duration of these behaviors.
}
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{\Large \bf 9:30 am, Thursday, December 22, 2011}\\
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{\Large Scrugham Engineering and Mines (SEM) room 201}

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{\large
  For more information contact
  Dr. Fred Harris @ 784-6571 (Fred.Harris@cse.unr.edu)
}


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