Published January 1, 2017
| Version v1
Journal article
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Dendritic spine classification using shape and appearance features based on two-photon microscopy
Creators
- 1. Sabanci Univ, Fac Engn & Nat Sci, Signal Proc & Informat Syst Lab, Istanbul, Turkey
- 2. Univ Utah, Elect & Comp Engn Dept, Salt Lake City, UT USA
- 3. Champalimaud Ctr Unknown, Champalimaud Neurosci Programme, Lisbon, Portugal
- 4. Izmir Univ Econ, Dept Biomed Engn, Fac Engn, Izmir, Turkey
Description
Background: Neuronal morphology and function are highly coupled. In particular, dendritic spine morphology is strongly governed by the incoming neuronal activity. The first step towards understanding the structure-function relationships is to classify spine shapes into the main spine types suggested in the literature. Due to the lack of reliable automated analysis tools, classification is mostly performed manually, which is a time-intensive task and prone to subjectivity.
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