Automated segmentation and quantification of actin stress fibres undergoing experimentally induced changes

Summary The actin cytoskeleton is a main component of cells and it is crucially involved in many physiological processes, e.g. cell motility. Changes in the actin organization can be effected by diseases or vice versa. Due to the nonuniform pattern, it is difficult to quantify reasonable features of...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of microscopy (Oxford) 2017-11, Vol.268 (2), p.129-140
Hauptverfasser: ROGGE, H., ARTELT, N., ENDLICH, N., ENDLICH, K.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Summary The actin cytoskeleton is a main component of cells and it is crucially involved in many physiological processes, e.g. cell motility. Changes in the actin organization can be effected by diseases or vice versa. Due to the nonuniform pattern, it is difficult to quantify reasonable features of the actin cytoskeleton for a significantly high cell number. Here, we present an approach capable to fully segment and analyse the actin cytoskeleton of 2D fluorescence microscopic images with a special focus on stress fibres. The extracted feature data include length, width, orientation and intensity distributions of all traced stress fibres. Our approach combines morphological image processing techniques and a trace algorithm in an iterative manner, classifying the segmentation result with respect to the width of the stress fibres and in nonfibre‐like actin. This approach enables us to capture experimentally induced processes like the condensation or the collapse of the actin cytoskeleton. We successfully applied the algorithm to F‐actin images of cells that were treated with the actin polymerization inhibitor latrunculin A. Furthermore, we verified the robustness of our algorithm by a sensitivity analysis of the parameters, and we benchmarked our algorithm against established methods. In summary, we present a new approach to segment actin stress fibres over time to monitor condensation or collapse processes. Lay description Almost all cells in the human body do have “muscles”. These “muscles”, called stress fibers, allow them to contract or to crawl. They consist of actin and myosin. Actin and myosin are proteins, where the actin is organized in little strings (filaments) on which the myosin acts as a motor protein. The actin filaments are very small (7 nm in diameter) and therefore they cannot be investigated by a light microscope. However these actin filaments are often organized in larger structures, for example they are bundled together with myosin to stress fibers. We are using a technique called fluorescence microscopy to visualize these actin stress fibers. This gives nice colored images but they always look a little bit untidy, because the stress fibers are sometimes parallel, superimposed or may build up complex meshworks. We want to investigate whether there are relations between the functionality of the cell or their environment (cell neighbors, mechanical stress or different drugs) and the structures of these stress fibers. Because of the irregul
ISSN:0022-2720
1365-2818
DOI:10.1111/jmi.12593