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automated quantitative image analysis

An improved method for measuring quantitative resistance to the wheat pathogen Zymoseptoria tritici using high-throughput automated image analysis

An improved method for measuring quantitative resistance to the wheat pathogen Zymoseptoria tritici using high-throughput automated image analysis

... a quantitative trait in the same mapping populations using infections on two wheat cultivars conducted under highly controlled greenhouse conditions (Stewart & McDonald, ...

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Spiral Bacterial Cell Image Analysis using Active Contour Method

Spiral Bacterial Cell Image Analysis using Active Contour Method

... microscopic image analysis provides an efficient tool for qualitative analysis in modern bio-medical and biological ...Microscopic image analysis is one of the most important techniques ...

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Automated Detection of Diabetic Retinopathy Using Fundus Image Analysis

Automated Detection of Diabetic Retinopathy Using Fundus Image Analysis

... A general introduction of the potential and challenges of retinal image analysis was presented. With digital retinal imaging playing an increasingly prominent role in the diagnosis and treatment of eye ...

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Basics and recent advances of two dimensional- polyacrylamide gel electrophoresis

Basics and recent advances of two dimensional- polyacrylamide gel electrophoresis

... the analysis starting with spot detection by detecting many false posi- tive ...gel image processing reduced variability between gels and increased the power to detect differentially expressed spots with ...

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MLA Based Detection of Organic Matter with Iodized Epoxy Resin—An Alternative to Carnauba

MLA Based Detection of Organic Matter with Iodized Epoxy Resin—An Alternative to Carnauba

... also quantitative mineralogical and microfabric data [1]. SEM-based image analysis ( aka automated mineralogy) provides readily access to such quantitative ...

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Combining semi automated image analysis techniques with machine learning algorithms to accelerate large scale genetic studies

Combining semi automated image analysis techniques with machine learning algorithms to accelerate large scale genetic studies

... The analysis of the result- ing root images can be performed either using semi-automated [7, 8] or fully automated root image analysis software [9, ...for quantitative genetic ...

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Development and Calibration of a Quantitative, Automated Mineralogical Assessment Method Based on SEM EDS and Image Analysis: Application for Fine Tailings

Development and Calibration of a Quantitative, Automated Mineralogical Assessment Method Based on SEM EDS and Image Analysis: Application for Fine Tailings

... TABLE 2 presents the mineralogical compositions of the Louvicourt tailings obtained using the SEM-EDS-IA method using both of the correction packages previously described, as well as a reference mineralogy obtained by a ...

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Object orientated automated image analysis: quantitative and qualitative estimation of inflammation in mouse lung

Object orientated automated image analysis: quantitative and qualitative estimation of inflammation in mouse lung

... At necropsy, a bronchiolar lavage (BAL) was performed on the lung prior to perfusion with fixative. This lavage solution was analysed by flow cytometry in order to deter- mine the proportion of eosinophils and ...

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High-Throughput Computer Vision Introduces the Time Axis to a Quantitative Trait Map of a Plant Growth Response

High-Throughput Computer Vision Introduces the Time Axis to a Quantitative Trait Map of a Plant Growth Response

... ABSTRACT Automated image acquisition, a custom analysis algorithm, and a distributed computing resource were used to add time as a third dimension to a quantitative trait locus (QTL) map for ...

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Long-term analysis to objectify the tumour grading by means of automated microscopic image analysis of the nucleolar organizer regions (AgNORs) in the case of breast carcinoma

Long-term analysis to objectify the tumour grading by means of automated microscopic image analysis of the nucleolar organizer regions (AgNORs) in the case of breast carcinoma

... Besides the individual imprecision in the prognosis with regard to individual patients, there has been re- peated discussion on the inter- and intra-observer vari- ability of the classical, histological prognosis ...

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Quantitative digital image processing in fringe analysis and particle image velocimetry (PIV)

Quantitative digital image processing in fringe analysis and particle image velocimetry (PIV)

... the image quality at the referenced ...the image, have already been automatically eliminated at this stage o f processing by the thresholding and low modulation tests described earlier in the ...the ...

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Quantitative image analysis of biological factors influencing radiotherapy

Quantitative image analysis of biological factors influencing radiotherapy

... grey-level image components of RGB and HIS colour m odels and their optimal weighting factor, for autom ated segmentation of histological images of the ...the image combination that yielded the maxim um ...

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Early Assessment of Brain Maturation by MR Imaging Segmentation in Neonates and Premature Infants

Early Assessment of Brain Maturation by MR Imaging Segmentation in Neonates and Premature Infants

... similar image acquisition characteristics (pixel intensity) can be classified correctly (ie, subcortical gray matter and cortical gray ...segmented image (Fig ...

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SParticle, an algorithm for the analysis of filamentous microorganisms in submerged cultures

SParticle, an algorithm for the analysis of filamentous microorganisms in submerged cultures

... Next, we optimized the microscope settings for the analysis of Streptomyces mycelia. A 910 magnifica- tion results in a pixel size of 780 nm, which suffices to distinguish mycelial fragments larger than 2 lm, ...

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Phantom Test Guidance

Phantom Test Guidance

... primary image of the phantom, and the average intensity in the background at 4 locations outside of the ...an image is the area of the image that is swept out by translating the object along the ...

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Low ATM protein expression in malignant tumor as well as cancer associated stroma are independent prognostic factors in a retrospective study of early stage hormone negative breast cancer

Low ATM protein expression in malignant tumor as well as cancer associated stroma are independent prognostic factors in a retrospective study of early stage hormone negative breast cancer

... Our study adheres to the REMARK criteria for the study of biomarkers [22]. The clinical and tumor characteris- tics of patients in the two cohorts (HPBC and HNBC) are shown in Table 1. Briefly, in the HNBC cohort, mean ...

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Quantification of HER family receptors in breast cancer

Quantification of HER family receptors in breast cancer

... One of the mechanisms proposed for the synergy observed when combining lapatinib and trastuzumab (at least in preclinical models) is the stabilization and mem- brane accumulation of HER2 as a consequence of recep- tor ...

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Automated image analysis in the study of lymphocyte subpopulation in eosinophilic oesophagitis

Automated image analysis in the study of lymphocyte subpopulation in eosinophilic oesophagitis

... Methods: From 2010 to 2013, 35 oesophageal biopsies from EoE and GERD patients were randomly selected. In six EoE biopsies, patients had been treated with selective food exclusion diet. Immunohistochemical study with ...

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Review of Image Processing Technique for Glaucoma Detection

Review of Image Processing Technique for Glaucoma Detection

... Enhancement- Image enhancement includes varying brightness and contrast of ...of image. Image Registration- Image Registration is an important technique for change detection in retinal ...

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Retina blood vessel improved by Human-vision algorithm

Retina blood vessel improved by Human-vision algorithm

... discriminate analysis which has shown an improvement over the ...novel automated glaucoma classification technique, depending on image features from funds ...

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