Ruszczycki, Błażej Pels, Katarzyna Karolina Walczak, Agnieszka Zamłyńska, Katarzyna Such, Michał Szczepankiewicz, Andrzej Antoni Hall, Małgorzata Hanna Magalska, Adriana Magnowska, Marta Wolny, Artur Bokota, Grzegorz Basu, Subhadip Pal, Ayan Plewczynski, Dariusz Wilczyński, Grzegorz Marek Data_Sheet_1_Three-Dimensional Segmentation and Reconstruction of Neuronal Nuclei in Confocal Microscopic Images.PDF <p>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 challenging task due to the presence of a significant amount of image artifacts and densely packed nuclei. Accordingly, we established an algorithm based on continuous boundary tracing criterion aiming to reconstruct the nucleus surface and to separate the adjacent nuclei. The presented algorithm neither uses a pre-built nucleus model, nor performs image thresholding, which makes it robust against variations in image intensity and poor contrast. Further, the reconstructed surface is used to study morphology and spatial arrangement of the nuclear interior. The presented method is generally dedicated to segmentation of crowded, overlapping objects in 3D space. In particular, it allows us to study quantitatively the architecture of the neuronal nucleus using confocal-microscopic approach.</p> chromatin 3D architecture;neurological disorders;epigenetics;neuronal nuclei segmentation;image bioinformatics 2019-08-20
    https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Three-Dimensional_Segmentation_and_Reconstruction_of_Neuronal_Nuclei_in_Confocal_Microscopic_Images_PDF/9686165
10.3389/fnana.2019.00081.s001