Paper
12 July 2011 Extracting the ridge set as a graph for quantification of actin filament images obtained by confocal laser scanning microscopy
Harald Birkholz
Author Affiliations +
Proceedings Volume 8000, Tenth International Conference on Quality Control by Artificial Vision; 800006 (2011) https://doi.org/10.1117/12.895269
Event: 10th International Conference on Quality Control by Artificial Vision, 2011, Saint-Etienne, France
Abstract
The progress in image acquisition technique provides life sciences with an abundance of data. Image analysis facilitates the assessment. The actin cytoskeleton plays a crucial role in understanding the behavior of osteoblastic cells on biomaterials. It can be visualized by confocal laser scanning microscopy. In these images it appears as a dense network of bright ridges which is so far only qualitatively assessed. For quantification there is a need for ridge detection techniques which provide a geometrical description of this graph-like feature. The state of the art methods do not cope with the systematical degradation of the brightness information. This paper presents the key part of a ridge tracking technique, which makes more efficient use of context information. Two random models confirm the accuracy and highlight the area for further improvement of the method.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Harald Birkholz "Extracting the ridge set as a graph for quantification of actin filament images obtained by confocal laser scanning microscopy", Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 800006 (12 July 2011); https://doi.org/10.1117/12.895269
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Cited by 2 scholarly publications.
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KEYWORDS
Error analysis

Confocal laser scanning microscopy

Ridge detection

Detection and tracking algorithms

Data modeling

Superposition

Image analysis

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