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A Software to Automatically Track Cell Protrusions
Tazegul, Tutku E; Prahl, Louis; Odde, Dave; Chan, Clarence; Bangasser, Ben; Tuzel, Erkan; Opoku, Kwaku; Castle, Michael; Klank, Rebecca (2017)
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https://hdl.handle.net/11299/190804
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Title
A Software to Automatically Track Cell Protrusions
Authors
Issue Date
2017
Type
Presentation
Abstract
This software was designed to automatically track U251 glioma cell protrusions in an effort to extract certain biophysical parameters from a population of cells. It is a modified form of a previous software used to track cell migration patterns (Bangasser et. al. Nat. Com. 2017).
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UMTC Undergraduate Research Presentations and Papers (UROP) [1742]
Description
Method to automatically track cell protrusions of U251 glioma cells.
Funding information
This research was supported by the Undergraduate Research Scholarship (URS).
Suggested Citation
Tazegul, Tutku E; Prahl, Louis; Odde, Dave; Chan, Clarence; Bangasser, Ben; Tuzel, Erkan; Opoku, Kwaku; Castle, Michael; Klank, Rebecca. (2017). A Software to Automatically Track Cell Protrusions. Retrieved from the University of Minnesota Digital Conservancy, https://hdl.handle.net/11299/190804.
Content distributed via the University of Minnesota's Digital Conservancy may be subject to additional license and use restrictions applied by the depositor.