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2016 SRE Project

Using Statistical Filters to Follow Fast Organelle Movements in Plant Cells

Mentors:
Dr. Vasileios Maroulas, Mathematics, UTK
Dr. Andreas Nebenfuhr, Biochemistry & Cellular and Molecular Biology (BCMB), UTK

Participants: Alanna Gary (Univ. of Chicago), Vera Liu (Rice Univ.), and Penny Wu (Houghton College)

photo. Plant cells display some of the fastest intracellular movements of all eukaryotic organisms. While easy to observe, we still know very little about the mechanisms that drive these movement or their biological function. To gain a better understanding, it is necessary to obtain a detailed description of the movement patterns in a cell. This description is complicated by the enormous complexity of these movements where many particles show highly variable speeds and directions. This project will utilize a novel approach based on statistical particle filtering to obtain more reliable track descriptions for quantitative analysis.

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photo.
Project group (from L): Penny Wu, Alanna Gary, Vera Liu

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NSF logo. NIMBioS is sponsored by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
 
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