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

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00007559
URN to cite this document: urn:nbn:de:bvb:703-epub-7559-5

Title data

Hauke, Lara ; Primeßnig, Andreas ; Eltzner, Benjamin ; Radwitz, Jennifer ; Huckemann, Stefan F. ; Rehfeldt, Florian:
FilamentSensor 2.0 : An open-source modular toolbox for 2D/3D cytoskeletal filament tracking.
In: PLoS One. Vol. 18 (2023) Issue 2 . - e0279336.
ISSN 1932-6203
DOI der Verlagsversion: https://doi.org/10.1371/journal.pone.0279336

	Format: PDF Name: journal.pone.0279336.pdf Version: Published Version Available under License Creative Commons BY 4.0: Attribution
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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.

Further data

Item Type:	Article in a journal
DDC Subjects:	500 Science > 530 Physics 500 Science > 570 Life sciences, biology
Institutions of the University:	Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Physics > Chair Experimental Physics I - Physics of Living Matter > Chair Experimental Physics I - Physics of Living Matter - Univ.-Prof. Dr. Matthias Weiss Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Physics Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Physics > Chair Experimental Physics I - Physics of Living Matter
Language:	English
Originates at UBT:	Yes
URN:	urn:nbn:de:bvb:703-epub-7559-5
Date Deposited:	14 Mar 2024 11:29
Last Modified:	18 Mar 2024 08:48
URI:	https://epub.uni-bayreuth.de/id/eprint/7559

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