Shearlet analysis of confocal laser-scanning microscopy images to extract morphological features of neurons
Suendermann F, Lotter S, Lim WQ, Golovyashkina N, Brandt R, Kutyniok G (2014)
Publication Type: Book chapter / Article in edited volumes
Publication year: 2014
Journal
Publisher: Humana Press Inc.
Edited Volumes: Laser Scanning Microscopy and Quantitative Image Analysis of Neuronal Tissue
Series: Neuromethods
Book Volume: 87
Pages Range: 293-303
DOI: 10.1007/978-1-4939-0381-8_14
Abstract
Due to the progress in laser scanning microscopy techniques computational image analysis methods increasingly have come in the focus of biology. Methods of image analysis can broadly be divided into two groups: The first group deals with segmentation and noise reduction problems, while the second group focuses on the statistical and morphological analysis of structures. Structure analysis strongly depends on the quality of the output of segmentation approaches, which aim to separate the digital image in undesirable (background) and desirable (foreground) information. The progress in microscopy techniques has led to a large amount of highly detailed images containing fine structures. Unfortunately, such images cannot be separated in an automated way without loss of considerable detail and information. In this chapter, we present an approach that is based on compressed sensing methods to separate biologically relevant information, in this case the structure of dendrites, from an image background. The approach has the advantage that it allows separating even fine structural details in large images without the common disadvantages of intensity based algorithms. We have written a freely downloadable software suite and present a detailed protocol of its use to determine morphological features of dendritic trees from fluorescence stained 3D image stacks. © 2014 Springer Science+Business Media New York.
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Germany (DE)How to cite
APA:
Suendermann, F., Lotter, S., Lim, W.-Q., Golovyashkina, N., Brandt, R., & Kutyniok, G. (2014). Shearlet analysis of confocal laser-scanning microscopy images to extract morphological features of neurons. In Lidia Bakota, Roland Brandt (Eds.), Laser Scanning Microscopy and Quantitative Image Analysis of Neuronal Tissue. (pp. 293-303). Humana Press Inc..
MLA:
Suendermann, Frederik, et al. "Shearlet analysis of confocal laser-scanning microscopy images to extract morphological features of neurons." Laser Scanning Microscopy and Quantitative Image Analysis of Neuronal Tissue. Ed. Lidia Bakota, Roland Brandt, Humana Press Inc., 2014. 293-303.
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