2019
DOI: 10.3389/fnana.2019.00081
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Three-Dimensional Segmentation and Reconstruction of Neuronal Nuclei in Confocal Microscopic Images

Abstract: The detailed architectural examination of the neuronal nuclei in any brain region, using confocal microscopy, requires quantification of fluorescent signals in three-dimensional stacks of confocal images. An essential prerequisite to any quantification is the segmentation of the nuclei which are typically tightly packed in the tissue, the extreme being the hippocampal dentate gyrus (DG), in which nuclei frequently appear to overlap due to limitations in microscope resolution. Segmentation in DG is a challengin… Show more

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Cited by 16 publications
(13 citation statements)
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“…The minimal distance from the nuclear periphery and Bdnf alleles in neuronal nuclei of animals was calculated using custom-written software, Segmentation Magick, described in Ruszczycki et al [ 40 ]. For neuronal cultures, custom-written software Partseg was used, described in [ 41 ].…”
Section: Methodsmentioning
confidence: 99%
“…The minimal distance from the nuclear periphery and Bdnf alleles in neuronal nuclei of animals was calculated using custom-written software, Segmentation Magick, described in Ruszczycki et al [ 40 ]. For neuronal cultures, custom-written software Partseg was used, described in [ 41 ].…”
Section: Methodsmentioning
confidence: 99%
“…There is an awareness that algorithms need to be resistant to morphological variability, object densities and variations in staining intensity. It is an active research area, and new algorithms try to address these issues (e.g., Ruszczycki et al, 2019; Shuvaev et al, 2017).…”
Section: Perspectives In Quantitative Morphologymentioning
confidence: 99%
“…The minimal distance from the nuclear periphery and Bdnf alleles in neuronal nuclei of animals was calculated using custom-written software, Segmentation Magick, described in Ruszczycki et al (40). For neuronal cultures, custom-written software Partseg was used, described in (41).…”
Section: Quantitative Image Analysismentioning
confidence: 99%