Using Statistical Filters to Follow Fast Organelle Movements in Plant Cells
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)
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.
Project group (from L):
Penny Wu, Alanna Gary, Vera Liu
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From 2008 until early 2021, NIMBioS was supported by the
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through NSF Award #DBI-1300426, with additional support from
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. 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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