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A novel universal algorithm for filament network tracing and cytoskeleton analysis

  • The rapid development of advanced microscopy techniques over recent decades has significantly increased the quality of imaging and our understanding of subcellular structures, such as the organization of the filaments of the cytoskeleton using fluorescence and electron microscopy. However, these recent improvements in imaging techniques have not been matched by similar development of techniques for computational analysis of the images of filament networks that can now be obtained. Hence, for a wide range of applications, reliable computational analysis of such two-dimensional methods remains challenging. Here, we present a new algorithm for tracing of filament networks. This software can extract many important parameters from grayscale images of filament networks, including the mesh hole size, and filament length and connectivity (also known as Coordination Number). In addition, the method allows sub-networks to be distinguished in two-dimensional images using intensity thresholding. We show that the algorithm can be used to analyze images of cytoskeleton networks obtained using different advanced microscopy methods. We have thus developed a new improved method for computational analysis of two-dimensional images of filamentous networks that has wide applications for existing imaging techniques. The algorithm is available as open-source software.

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Document Type:Article
Author:Daniel A. FlormannORCiD, Moritz Schu, Emmanuel TerriacORCiD, Divyendu G. ThallaORCiD, Lucina Kainka, Marcus Koch, Annica K.B. GadORCiD, Franziska LautenschlägerORCiD
Parent Title (English):The FASEB Journal
First Page:e21582
Year of first Publication:2021
Release Date:2022/08/18
Tag:actin; cytoskeleton; image analysis; intermediate filaments; microtubules
Impact:05.834 (2021)
Funding Information:Leibniz Institute for New Materials (INM); Saarland University; DFG. Grant Number: CRC 1027; Fundação para a Ciência e a Tecnologia (FCT); Portuguese Government. Grant Number: PEst-OE/QUI/UI0674/2013; Agência Regional para o Desenvolvimento da Investigaçaõ Tecnologia e Inovação (ARDITI); Centro de Química da Madeira. Grant Number: M1420-01-0145-FEDER-000005
Groups:Physikalische Analytik
DDC classes:500 Naturwissenschaften und Mathematik / 570 Biowissenschaften, Biologie
Open Access:Open Access
Signature:INM 2021/048
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International