Application of computerised image analysis to monitoring endodontic therapy: reproducibility and comparison with visual assessment.

1997 ◽  
Vol 26 (2) ◽  
pp. 79-84 ◽  
Author(s):  
E Kerosuo ◽  
D Orstavik
Keyword(s):  
Image Analysis ◽  
Visual Assessment ◽  
Computerised Image Analysis

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 AN AUTOMATED FRAMEWORK FOR CORONARY ANALYSIS FROM CORONARY CINE ANGIOGRAMS USING MACHINE LEARNING AND IMAGE ANALYSIS TECHNIQUES

2021 ◽  
Vol 9 (1) ◽  
pp. 1406-1412
Author(s):  
K. Santhi, A. Rama Mohan Reddy
Keyword(s):  
Machine Learning ◽  
Cardiovascular Disease ◽  
Image Analysis ◽  
Visual Assessment ◽  
Disease Diagnosis ◽  
Healthy Life ◽  
Common Cause ◽  
Analysis Techniques ◽  
Image Modality ◽  
Image Analysis Techniques

Cardiovascular disease (CVD) is one of the critical diseases and the most common cause of morbidity and mortality worldwide. Therefore, early detection and prediction of such a disease is extremely essential for a healthy life. Cardiac imaging plays an important role in the diagnosis of cardiovascular disease but its role has been limited to visual assessment of heart structure and its function. However, with the advanced techniques and tools of big data and machine learning, it become easier to clinician to diagnose the CVD. Stenosis with in the Coronary Arteries (CA) are often determined by using the Coronary Cine Angiogram (CCA). It comes under the invasive image modality. CCA is the effective method to detect and predict the stenosis. In this paper a coronary analysis automation method is proposed in disease diagnosis. The proposed method includes pre-processing, segmentation, identifying vessel path and statistical analysis.

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

Evaluation of Video Image Analysis (VIA) technology to predict meat yield of sheep carcasses online under abattoir conditions

2007 ◽  
Vol 2007 ◽  
pp. 108-108
Author(s):  
E. Rius-Vilarrasa ◽  
L. Bunger ◽  
K. Matthews ◽  
C. Maltin ◽  
A Hinz ◽  
...  
Keyword(s):  
Image Analysis ◽  
Visual Assessment ◽  
Carcass Composition ◽  
Eating Quality ◽  
Beef Industry ◽  
Meat Yield ◽  
A Value ◽  
Fat Score ◽  
The Uk ◽  
The Eu

Accurate estimates of carcass composition and eating quality are critical to the introduction and the success of a value-based marketing system (VBMS) and to help address increased consumer demands for leaner meat with higher quality. Currently in the UK, carcass composition is assessed by a subjective carcass classification system based on the EUROP conformation system, and a visual assessment of fat cover using a numeric fat score (“MLC Scoring”) (Anderson, 2003). Objective, image analysis based systems to classify carcasses into current classification categories have been studied (Allen and Finnery, 2000) and are in use in the beef industry in the EU. However, the introduction of automatic technologies such as VIA may also have considerable potential for prediction of lean meat yield of the carcass. There is growing interest in the possibility of developing payment criteria which are based on carcass meat yield. Therefore, the present research project investigated the potential of VIA technology to predict meat yield in terms of saleable meat yield (SMY), saleable primal meat yield (SPMY) and the carcass components leg, chump, loin and shoulder in lamb.

Inter-laboratory comparison of Ki-67 proliferating index detected by visual assessment and automated digital image analysis

2019 ◽  
Vol 38 (2) ◽  
pp. 73-79
Author(s):  
Snježana Tomić ◽  
Ivana Mrklić ◽  
Jasminka Jakić Razumović ◽  
Nives Jonjić ◽  
Božena Šarčević ◽  
...  
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Visual Assessment ◽  
Ki 67

186 QUANTITATIVE ECHOGENICITY AND ECHOTEXTURE ANALYSIS OF THE ACCESSORY SEX GLANDS OF PUBERTAL AND MATURE DORPER RAMS

2016 ◽  
Vol 28 (2) ◽  
pp. 224
Author(s):  
E. S. C. Camela ◽  
R. P. Nociti ◽  
V. J. C. Santos ◽  
B. I. Macente ◽  
G. S. Maciel ◽  
...  
Keyword(s):  
Image Analysis ◽  
Sexual Maturity ◽  
Calculated Data ◽  
Tukey Test ◽  
Statistical Procedures ◽  
Accessory Sex Glands ◽  
Linear Transducer ◽  
Computerised Image Analysis ◽  
Levene Test ◽  
Transducer Frequency

This study aimed to analyse the ultrasonographic attributes of vesicular, prostate, and bulbourethral glands in pubertal and mature Dorper rams. Forty-five rams were used in the same day (pubertal: 8–11 months, n = 24; mature: ≥12 months, n = 21). The B-mode ultrasounds examinations were performed using MyLab 30Vet equipment (Esaote, Naples, Italy) connected to transrectal linear transducer (frequency of 7.5 MHz). The echogenicity [(mean numerical pixel values (NPV)] and pixel heterogeneity (standard deviation of NPV) of accessory sex glands parenchymas was determined by computerised image analysis using Image ProPlus® software (Media Cybernetics Inc., Rockville, MD, USA). For the pairs organs a mean for each parameter were calculated. Data were analysed by ANOVA with Tukey test (mean ± s.d.; P < 0.05), after the normality and homoscedasticity of residuals were checked with Shapiro-Wilk test and Levene test, respectively, when necessary log-transformation was applied. All statistical procedures was performed with R® software. The echogenicity of parenchymas were different (P < 0.05) between pubertal and mature rams for vesicular glands (181.51 ± 20.80 v. 164.83 ± 26.79) and bulbourethral glands (166.93 ± 16.93 v. 141.80 ± 29.15); however, there was no difference (P > 0.05) for prostate glands (99.39 ± 36.34 v. 87.47 ± 34.24). The pixel heterogeneity did not differ (P > 0.05) between pubertal and mature rams (29.06 ± 2.67 v. 28.09 ± 3.95, 32.14 ± 8.20 v. 30.28 ± 4.71, and 27.82 ± 4.53 v. 28.74 ± 4.29) for vesicular, prostate, and bulbourethral glands, respectively. In conclusion, the sexual maturity only influenced the echogenicity of vesicular and bulbourethral parenchymas of Dorper rams.

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