scholarly journals Detection and Segmentation of Cell Nuclei in Virtual Microscopy Images: A Minimum-Model Approach

2012 ◽  
Vol 2 (1) ◽  
Author(s):  
Stephan Wienert ◽  
Daniel Heim ◽  
Kai Saeger ◽  
Albrecht Stenzinger ◽  
Michael Beil ◽  
...  
Keyword(s):  
Virtual Microscopy ◽  
Cell Nuclei ◽  
Microscopy Images ◽  
Model Approach

scholarly journals Nuclear incorporation of iron during the eukaryotic cell cycle

2016 ◽  
Vol 23 (6) ◽  
pp. 1490-1497 ◽  
Author(s):  
Ian Robinson ◽  
Yang Yang ◽  
Fucai Zhang ◽  
Christophe Lynch ◽  
Mohammed Yusuf ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Fluorescence Microscopy ◽  
Phase Contrast ◽  
Eukaryotic Cell ◽  
Inhomogeneous Distribution ◽  
Cell Nuclei ◽  
X Ray ◽  
Microscopy Images ◽  
Different Levels

Scanning X-ray fluorescence microscopy has been used to probe the distribution of S, P and Fe within cell nuclei. Nuclei, which may have originated at different phases of the cell cycle, are found to show very different levels of Fe present with a strongly inhomogeneous distribution. P and S signals, presumably from DNA and associated nucleosomes, are high and relatively uniform across all the nuclei; these agree with X-ray phase contrast projection microscopy images of the same samples. Possible reasons for the Fe incorporation are discussed.

scholarly journals 3D Cell Image Segmentation by Modified Subjective Surface Method

2020 ◽  
Vol 75 (1) ◽  
pp. 147-162
Author(s):  
MarKjoe Olunna Uba ◽  
Karol Mikula ◽  
Zuzana Krivá ◽  
Hanh Nguyen ◽  
Thierry Savy ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Real Data ◽  
Finite Volume Scheme ◽  
3D Image ◽  
Cell Nuclei ◽  
Surface Evolution ◽  
Surface Method ◽  
Segmentation Approach ◽  
Level Set Formulation ◽  
Microscopy Images

AbstractIn this work, we focused on 3D image segmentation where the segmented surface is reconstructed by the use of 3D digital image information and information from thresholded 3D image in a local neighbourhood. To this end, we applied a mathematical model based on the level set formulation and numerical method which is based on the so-called reduced diamond cell approach. The segmentation approach is based on surface evolution governed by a nonlinear PDE, the modified subjective surface equation. This is done by defining the input to the edge detector function as the weighted sum of norm of presmoothed 3D image and norm of presmoothed thresholded 3D image in a local neighbourhood. For the numerical discretization, we used a semi-implicit finite volume scheme. The method was applied to real data representing 3D microscopy images of cell nuclei within the zebrafish pectoral fin.

scholarly journals Non-rigid Registration of 3D Multi-channel Microscopy Images of Cell Nuclei

2006 ◽  
pp. 907-914 ◽  
Author(s):  
Siwei Yang ◽  
Daniela Köhler ◽  
Kathrin Teller ◽  
Thomas Cremer ◽  
Patricia Le Baccon ◽  
...  
Keyword(s):  
Cell Nuclei ◽  
Rigid Registration ◽  
Microscopy Images

Nonrigid Registration of 3-D Multichannel Microscopy Images of Cell Nuclei

2008 ◽  
Vol 17 (4) ◽  
pp. 493-499 ◽  
Author(s):  
Siwei Yang ◽  
Daniela Kohler ◽  
Kathrin Teller ◽  
Thomas Cremer ◽  
Patricia Le Baccon ◽  
...  
Keyword(s):  
Nonrigid Registration ◽  
Cell Nuclei ◽  
Microscopy Images
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