Modelling the degree of porosity of the ceramic surface intended for implants

2019 ◽  
Vol 64 (2) ◽  
pp. 215-223
Author(s):  
Sebastian Stach ◽  
Olga Kędzia ◽  
Żaneta Garczyk ◽  
Zygmunt Wróbel
Keyword(s):  
Image Analysis ◽  
Test Material ◽  
Confocal Laser ◽  
Ceramic Surface ◽  
Surface Porosity ◽  
Two Dimensional Image ◽  
Modelling Method ◽  
Biomaterial Surface ◽  
Computerised Image Analysis ◽  
Surface Images

Abstract The main goal of the study was to develop a model of the degree of surface porosity of a biomaterial intended for implants. The model was implemented using MATLAB. A computer simulation was carried out based on the developed model, which resulted in a two-dimensional image of the modelled surface. Then, an algorithm for computerised image analysis of the surface of the actual oxide bioceramic layer was developed, which enabled determining its degree of porosity. In order to obtain the confocal micrographs of a few areas of the biomaterial, measurements were performed using the LEXT OLS4000 confocal laser microscope. The image analysis was carried out using MountainsMap Premium and SPIP. The obtained results allowed determining the input parameters of the program, on the basis of which porous biomaterial surface images were generated. The last part of the study involved verification of the developed model. The modelling method was tested by comparing the obtained results with the experimental data obtained from the analysis of surface images of the test material.

Interaction of Neutrophils with Endothelial Cells, Fibroblasts and Their Extracellular Matrices: Microscopic and Computerised Analysis

1988 ◽  
Vol 16 (1) ◽  
pp. 48-53
Author(s):  
Marina Ziche ◽  
Lucia Morbidelli ◽  
Annalisa Rubino ◽  
Piero Dolara ◽  
Stefano Bianchi ◽  
...  
Keyword(s):  
Endothelial Cells ◽  
Image Analysis ◽  
Vascular Endothelial Cells ◽  
Extracellular Matrices ◽  
Polymorphonuclear Neutrophil ◽  
Initial Event ◽  
Computerised Image Analysis ◽  
Capillary Endothelial Cells ◽  
Vitro Model

Polymorphonuclear neutrophil (PMN) interaction with vascular endothelial cells is the initial event in the migration of neutrophils through blood vessel walls before reaching inflammation sites in tissues. The interaction between fibroblasts and endothelial cells and their extracellular matrices might be modulated by the activation of neutrophils that occurs at inflammatory reaction sites. We have used an in vitro model to study PMN function, measuring the adhesion of human PMNs to capillary endothelial cells and fibroblasts grown in culture and to their extracellular matrices. The interaction was measured in basal conditions and in the presence of the chemotactic effector, formyl-methionyl-leucyl-phenylalanine (FMLP at the concentration of 10 7M). Adhesion was expressed by the number of adherent PMNs/mm2 on a histological specimen. Moreover, we have adapted a program for image analysis to quantify neutrophil adhesion. Three times more PMNs adhered to matrices than to monolayers, and adherence could be increased by the presence of 10-7M FMLP, except in the case of fibroblast monolayers. We found a good correlation between microscopic observation and computerised image analysis measuring PMN adhesiveness to extracellular matrices.

Computerised Image Analysis of Nuclear Enlargement Assay in HeLa Cells

1991 ◽  
Vol 19 (1) ◽  
pp. 41-47
Author(s):  
Renato Rizzi ◽  
Francesco Re ◽  
Enzo Chiesara
Keyword(s):  
Image Analysis ◽  
Hela Cells ◽  
Automatic Analysis ◽  
Nuclear Size ◽  
Computerised Image Analysis ◽  
Nuclear Enlargement

It has been observed that cells often respond to carcinogens by nuclear enlargement. For this reason, new morphometric approaches have been developed to evaluate cell modifications in pre-carcinogenesis assays. Morphometric computerised automatic analysis, with original software, was performed on HeLa cells treated with various compounds (hydroxyurea, dimethylnitrosamine, N-methyl- N’-nitro-nitrosoguanidine and cyclophosphamide) to evaluate nuclear size changes.

scholarly journals Characterization of activated sludge flocs by confocal laser scanning microscopy and image analysis

2021 ◽  
Author(s):  
Eva Nowak
Keyword(s):  
Image Analysis ◽  
Laser Scanning ◽  
Laser Scanning Microscopy ◽  
Confocal Laser ◽  
Reactor Performance ◽  
Sludge Flocs ◽  
P Limitation ◽  
Floc Structure ◽  
Compositional Changes

The purpose of this study was to characterize microbial floc structure and properties under phosphorus (P) limiting and non-limiting regimes. The P-limitation applied to the biomass did not significantly impact on reactor performance in terms of COD removal and MLSS. The composition of EPS was affected by the P-limitation with significantly increased accumulation of carbohydrates, uronic acids and proteins. CLSM and glycoconjugate mapping revealed that the relative abundance of α and β- N -acetylgalactosaminyl/galactopyranosyl and N -acetylglucosaminyl residues was affected by P-limitation, suggesting changes in microbial populations within the floc structure, which in turn could cause the compositional changes of EPS. The image analysis performed on CLSM images indicated that under non-limiting conditions the cell clumps within the floc were significantly smaller as compared to P-limiting conditions. The fractal dimension and porosity under limiting conditions were either significantly higher or lower than under P-rich conditions.

Quantification and enumeration of cytokine producing cells by computerised image analysis

Cytokine ◽  
1994 ◽  
Vol 6 (5) ◽  
pp. 539
Author(s):  
Lars Björk ◽  
Ulf Andersson ◽  
Jan Andersson
Keyword(s):  
Image Analysis ◽  
Computerised Image Analysis

scholarly journals Confocal Laser Scanning Microscopy and Image Analysis for Elucidating Crumb and Crust Microstructure of Bran-Enriched South African Fried Dough and Batter

Foods ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 605 ◽  
Author(s):  
Oluwatoyin O. Onipe ◽  
Daniso Beswa ◽  
Afam I. O. Jideani
Keyword(s):  
Image Analysis ◽  
Laser Scanning ◽  
Polynomial Regression ◽  
Initial Moisture Content ◽  
Soxhlet Extraction ◽  
Laser Scanning Microscopy ◽  
Confocal Laser ◽  
Cross Sectional ◽  
Linear Effect ◽  
Staining Protocol

A double staining protocol for image acquisition using confocal microscopy (CLSM) coupled with image analysis was employed to elucidate the crust and cross-sectional properties of fried dough. Penetrated oil by image analysis (POia), porosity and pore features were quantified from the cross-section micrographs. Crust surface roughness was measured using fractal metrics and fat content was determined by solvent extraction using the American Association of Cereal Chemists method. Crumb porosity ranged between 54.94%–81.84% and reduced (p < 0.05) with bran addition. Crumb pore sizes ranged from 0–475 µm with <1 circularity, indicating elliptical shape. POia values were notably higher (p < 0.05) than PO by Soxhlet extraction (POsox), except for wheat bran (WB) fried dough where the values of POia and POsox were closely ranked. The linear effect of initial moisture content and bran concentration showed a significant impact on the image properties. The mean fractal dimension (FD) decreased as initial moisture increased. The addition of WB caused a significant reduction in the FD of fried dough, while the opposite effect was noted for its oat bran counterpart. Due to non-collinearity of image properties (FD, POia and porosity), data were fitted to cubic polynomial regression with R2 values > 0.70. CLSM and image analysis were effective in measuring oil absorption and interpreting crumb properties of fried dough. The protocol used in this study can be applied to other thick deep-fried foods for qualitative observation and quantitative measurement of a specific physical or chemical property.

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