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• W2046095026 startingPage "e113083" @default.
• W2046095026 abstract "We illustrate shape mode analysis as a simple, yet powerful technique to concisely describe complex biological shapes and their dynamics. We characterize undulatory bending waves of beating flagella and reconstruct a limit cycle of flagellar oscillations, paying particular attention to the periodicity of angular data. As a second example, we analyze non-convex boundary outlines of gliding flatworms, which allows us to expose stereotypic body postures that can be related to two different locomotion mechanisms. Further, shape mode analysis based on principal component analysis allows to discriminate different flatworm species, despite large motion-associated shape variability. Thus, complex shape dynamics is characterized by a small number of shape scores that change in time. We present this method using descriptive examples, explaining abstract mathematics in a graphic way." @default.
• W2046095026 created "2016-06-24" @default.
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• W2046095026 date "2014-11-26" @default.
• W2046095026 modified "2023-09-26" @default.
• W2046095026 title "Shape Mode Analysis Exposes Movement Patterns in Biology: Flagella and Flatworms as Case Studies" @default.
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• W2046095026 doi "https://doi.org/10.1371/journal.pone.0113083" @default.
• W2046095026 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4245084" @default.
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• W2046095026 hasPublicationYear "2014" @default.
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