Analysis of Length and Orientation of Microtubules in Wide-Field Fluorescence Microscopy

Herberich, Gerlind; Ivanescu, Anca Maria; Gamper, Ivonne; Sechi, Antonio; Aach, Til

doi:10.1007/978-3-642-15986-2_19

Cited by 7 publications

(6 citation statements)

References 20 publications

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“…As an alternative approach to templates and active contours, ridge detection methods have been applied to analyse cytoskeletons (Birkholz et al ., ; Herberich et al ., ). Basu et al .…”

Section: Discussionmentioning

confidence: 97%

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

Rogge

Artelt

Endlich

et al. 2017

Journal of Microscopy

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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.

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“…As an alternative approach to templates and active contours, ridge detection methods have been applied to analyse cytoskeletons (Birkholz et al ., ; Herberich et al ., ). Basu et al .…”

Section: Discussionmentioning

confidence: 97%

“…As an alternative approach to templates and active contours, ridge detection methods have been applied to analyse cytoskeletons (Birkholz et al, 2010;Herberich et al, 2010). Basu et al (2015) proposed a reverse diffusion-based approach to identify the centre line of fibres with high accuracy.…”

Section: Discussionmentioning

confidence: 99%

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

Rogge

Artelt

Endlich

et al. 2017

Journal of Microscopy

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“…Recently we have proposed a method for the segmentation of microtubules [10]. The goals of the segmentation are to first detect all microtubules despite their highly varying intensity and secondly to extract their centerline.…”

Section: A 2d Segmentation Of Microtubulesmentioning

confidence: 99%

Fluorescence microscopic imaging and image analysis of the cytoskeleton

Herberich

Würflinger

Sechi

et al. 2010

2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers

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Cell stability and motility depends on a complex dynamic cytoplasmic scaffolding called the cytoskeleton. It is composed of actin filaments, intermediate filaments and microtubules, and interacts with neighbouring cells and the extracellular matrix via specialized adhesion sites -multimolecular complexes responsible for the transmission of mechanical force and regulatory signals. The dynamic behaviour of these subcellular structures in living cells can be analysed by fluorescence microscopy yielding series of 2D or 3D images. Towards a quantitative analysis, we present methods for the segmentation and motion estimation of cytoskeletal filaments as well as for the tracking of adhesion sites, allowing the quantification of cytoskeletal dynamics under different conditions.

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“…An approach to assess the influence of proteins such as GAR22 on the polymerization of microtubules is described in [27]. In [31], a registration-based method for tracking the continuous translocation of intermediate filaments towards the nucleus is developed (Fig.…”

Section: Bioimagingmentioning

confidence: 99%

Challenges of medical image processing

et al. 2010

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In todays health care, imaging plays an important role throughout the entire clinical process from diagnostics and treatment planning to surgical procedures and follow up studies. Since most imaging modalities have gone directly digital, with continually increasing resolution, medical image processing has to face the challenges arising from large data volumes. In this paper, we discuss Kilo-to Terabyte challenges regarding (i) medical image management and image data mining, (ii) bioimaging, (iii) virtual reality in medical visualizations and (iv) neuroimaging. Due to the increasing amount of data, image processing and visualization algorithms have to be adjusted. Scalable algorithms and advanced parallelization techniques using graphical processing units have been developed. They are summarized in this paper. While such techniques are coping with the Kilo-to Terabyte challenge, the Petabyte level is already looming on the horizon. For this reason, medical image processing remains a vital field of research.

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Analysis of Length and Orientation of Microtubules in Wide-Field Fluorescence Microscopy

Cited by 7 publications

References 20 publications

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

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

Fluorescence microscopic imaging and image analysis of the cytoskeleton

Challenges of medical image processing

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