2006
DOI: 10.1002/cyto.a.20339
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Nucleus image properties assessed by video image analysis in mouse hepatocytes under a short lysis for extended chromatin fiber formation

Abstract: Background: How much DNA remains in mouse hepatocyte nuclei after extended chromatin fiber (ECF) formation or whether this content varies within the nuclear population is not known. This information could be relevant to understanding chromatin extensibility as related to chromatin organization, possibly associated with variable nuclear activities in hepatocytes. Methods: A protocol for ECF formation under the gravity action, image analysis of Feulgen-stained unfixed mouse hepatocyte remnants, and DAPI fluoresc… Show more

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Cited by 7 publications
(6 citation statements)
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“…Two threshold values determined which gray value range of the image Input is retained or deleted in the image Output. Threshold values (gray values) named Low (L) and High (H) were determined by moving the borders in the gray value histogram such that nuclear images appeared well segmented from each other and from the background (18). Since 'green' was selected as the parameter 'color', the pixels inside the gray value range (L, H) were displayed in this color.…”
Section: Cells and Treatmentsmentioning
confidence: 99%
See 1 more Smart Citation
“…Two threshold values determined which gray value range of the image Input is retained or deleted in the image Output. Threshold values (gray values) named Low (L) and High (H) were determined by moving the borders in the gray value histogram such that nuclear images appeared well segmented from each other and from the background (18). Since 'green' was selected as the parameter 'color', the pixels inside the gray value range (L, H) were displayed in this color.…”
Section: Cells and Treatmentsmentioning
confidence: 99%
“…The software provided quantitative information on 1) geometric parameters such as nuclear total area (μm 2 ), nuclear absorbing area (μm 2 ), nuclear perimeter (μm), and nuclear feret ratio (minimal feret/maximal feret, as an indication of the elliptical shape of the nuclear absorbing image), 2) densitometric parameters such as mean gray value per nucleus [subsequently converted into absorbances or optical density (OD)], and integrated optical density (IOD), and 3) textural parameters, such as standard deviation of the total densitometric values per nucleus or absorbance variability per nucleus (SDtd), and nuclear entropy (E). SDtd reflects the variability in the degree of chromatin packing state per Feulgen-stained image (18,19). Entropy is considered the number of bits necessary to store the densitometric values per nucleus image or amount of gray value variability in a nucleus.…”
Section: Cells and Treatmentsmentioning
confidence: 99%
“…Among the various image analysis textural parameters estimated in Feulgen-stained cells, inclusive in transformed MCF-10F cells, entropy has been shown to be relevant for discrimination of changes in chromatin supraorganization (2,(5)(6)(7). Nuclear entropy as studied by video image analysis has been defined as the number of bits necessary to store the densitometric values per nucleus image or the amount of gray value variability contained in a nucleus (5,7,9).…”
Section: Introductionmentioning
confidence: 99%
“…Nuclear entropy as studied by video image analysis has been defined as the number of bits necessary to store the densitometric values per nucleus image or the amount of gray value variability contained in a nucleus (5,7,9). This parameter measures the complexity of an image (10), such that a high entropy value for Feulgen-stained cells is found when there is a high contrast between condensed and non-condensed chromatin, whereas a low entropy value represents a homogeneously packed chromatin state (fairly constant gray levels) (7,8) (Fig.…”
Section: Introductionmentioning
confidence: 99%
“…Image‐based analysis of nuclear morphometry is a key problem due to the important roles that the cell nucleus plays in biology. Nuclear morphology, and associated changes, have been studied extensively lately (18–20). In this issue Rohde et al (p 341) discussed the difficulties associated with the analysis of nuclear shape since the shape spaces are nonlinear.…”
mentioning
confidence: 99%