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  FilamentSensor 2.0: An open-source modular toolbox for 2D/3D cytoskeletal filament tracking

Hauke, L., Primeßnig, A., Eltzner, B., Radwitz, J., Huckemann, S. F., & Rehfeldt, F. (2023). FilamentSensor 2.0: An open-source modular toolbox for 2D/3D cytoskeletal filament tracking. PLoS One, 18(2): e0279336. doi:10.1371/journal.pone.0279336.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-AAD1-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-AAD2-7
Genre: Journal Article

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 Creators:
Hauke, Lara, Author
Primeßnig, Andreas, Author
Eltzner, Benjamin1, Author
Radwitz, Jennifer, Author
Huckemann, Stefan F., Author
Rehfeldt, Florian, Author
Affiliations:
1Research Group of Computational Biomolecular Dynamics, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society, Göttingen, DE, ou_3350134              

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 Abstract: Cytoskeletal pattern formation and structural dynamics are key to a variety of biological functions and a detailed and quantitative analysis yields insight into finely tuned and well-balanced homeostasis and potential pathological alterations. High content life cell imaging of fluorescently labeled cytoskeletal elements under physiological conditions is nowadays state-of-the-art and can record time lapse data for detailed experimental studies. However, systematic quantification of structures and in particular the dynamics (i.e. frame-to-frame tracking) are essential. Here, an unbiased, quantitative, and robust analysis workflow that can be highly automatized is needed. For this purpose we upgraded and expanded our fiber detection algorithm FilamentSensor (FS) to the FilamentSensor 2.0 (FS2.0) toolbox, allowing for automatic detection and segmentation of fibrous structures and the extraction of relevant data (center of mass, length, width, orientation, curvature) in real-time as well as tracking of these objects over time and cell event monitoring.

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Language(s): eng - English
 Dates: 2023-02-06
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1371/journal.pone.0279336
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Title: PLoS One
  Abbreviation : PLoS One
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 18 (2) Sequence Number: e0279336 Start / End Page: - Identifier: ISSN: 1932-6203
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000277850