Discrimination between organically and conventionally grown winter wheat farm pair samples using the copper chloride crystallisation method in combination with computerised image analysis

2010 ◽  
Vol 74 (2) ◽  
pp. 218-222 ◽  
Author(s):  
Małgorzata Szulc ◽  
Johannes Kahl ◽  
Nicolaas Busscher ◽  
Gaby Mergardt ◽  
Paul Doesburg ◽  
...  
Keyword(s):  
Image Analysis ◽  
Winter Wheat ◽  
Copper Chloride ◽  
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.

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

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.

Winter Wheat Mapping Using Landsat 8 Images and Geographic Object-Based Image Analysis

2017 ◽  
Vol 60 (3) ◽  
pp. 625-633
Author(s):  
Tengfei Su ◽  
Shengwei Zhang
Keyword(s):  
Image Analysis ◽  
Winter Wheat ◽  
Feature Reduction ◽  
Classification Model ◽  
Feature Analysis ◽  
Landsat 8 ◽  
Scale Selection ◽  
Object Based Image Analysis ◽  
Object Based ◽  
Geographic Object

Abstract. Winter wheat is a major food source in many areas, so it is necessary to construct an effective approach for its monitoring based on satellite data. By taking advantage of geographic object-based image analysis (GEOBIA), a winter wheat classification framework was established. Two stages, which included scale selection and feature analysis, were incorporated into the new approach. The scale selection stage was implemented based on an unsupervised method, so human intervention for tuning the scale parameter of image segmentation can be largely saved. The feature analysis stage was performed on the basis of a random forest classification model, and in the experiment this step allowed for feature reduction, which was validated to be beneficial to the classification performance. Keywords: Feature analysis, GEOBIA, Scale selection, Winter wheat.

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