Search results for "Visual"

showing 10 items of 7386 documents

A swift, easy and cheap protocol to evaluate the tooth bleaching in vitro

2018

Background: This study aims to develop a protocol that optimizes in vitro dental bleaching procedures in a cheap, fast and accessible manner. Material and Methods: 18 bovine incisors were cut and polished in enamel/dentin and submitted to staining in coffee solution during 72 hours. After the standardization and staining of the enamel surfaces, three groups (n = 6) were formed to receive three different gels, WHITENESS (commercial gel); H 2 O 2 - 5% (manipulated gel); CAR - BOPOL GEL (manipulated gel and without H 2 O 2 ). The color of the enamel surfaces was evaluated using digital images, obtained with digital camera and controlled luminosity, before and after staining, as well as after e…

0301 basic medicineChromatographyEnamel paintChemistry030206 dentistry:CIENCIAS MÉDICAS [UNESCO]Staining03 medical and health sciences030104 developmental biology0302 clinical medicinemedicine.anatomical_structurevisual_artUNESCO::CIENCIAS MÉDICASDentinmedicinevisual_art.visual_art_mediumGeneral DentistryJournal of Clinical and Experimental Dentistry
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2018

The expertise of humans for recognizing faces is largely based on holistic processing mechanism, a sophisticated cognitive process that develops with visual experience. The various visual features of a face are thus glued together and treated by the brain as a unique stimulus, facilitating robust recognition. Holistic processing is known to facilitate fine discrimination of highly similar visual stimuli, and involves specialized brain areas in humans and other primates. Although holistic processing is most typically employed with face stimuli, subjects can also learn to apply similar image analysis mechanisms when gaining expertise in discriminating novel visual objects, like becoming exper…

0301 basic medicineCognitive scienceVisual perceptionCharacteristics of common wasps and beesCognitionStimulus (physiology)Facial recognition systemVisual processingVisual recognition03 medical and health sciences030104 developmental biology0302 clinical medicineVisual ObjectsPsychologycomputer030217 neurology & neurosurgeryGeneral Psychologycomputer.programming_languageFrontiers in Psychology
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Application of Graph Clustering and Visualisation Methods to Analysis of Biomolecular Data

2018

In this paper we present an approach based on integrated use of graph clustering and visualisation methods for semi-supervised discovery of biologically significant features in biomolecular data sets. We describe several clustering algorithms that have been custom designed for analysis of biomolecular data and feature an iterated two step approach involving initial computation of thresholds and other parameters used in clustering algorithms, which is followed by identification of connected graph components, and, if needed, by adjustment of clustering parameters for processing of individual subgraphs.

0301 basic medicineComputer scienceComputationcomputer.software_genreVisualization03 medical and health sciencesIdentification (information)ComputingMethodologies_PATTERNRECOGNITION030104 developmental biology0302 clinical medicineGraph drawingFeature (machine learning)Data miningCluster analysiscomputer030217 neurology & neurosurgeryConnectivityClustering coefficient
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EFMviz

2020

Elementary Flux Modes (EFMs) are a tool for constraint-based modeling and metabolic network analysis. However, systematic and automated visualization of EFMs, capable of integrating various data types is still a challenge. In this study, we developed an extension for the widely adopted COBRA Toolbox, EFMviz, for analysis and graphical visualization of EFMs as networks of reactions, metabolites and genes. The analysis workflow offers a platform for EFM visualization to improve EFM interpretability by connecting COBRA toolbox with the network analysis and visualization software Cytoscape. The biological applicability of EFMviz is demonstrated in two use cases on medium (Escherichia coli, iAF1…

0301 basic medicineComputer scienceEndocrinology Diabetes and Metabolismgenome-scale metabolic modelslcsh:QR1-502computer.software_genreBiochemistryData typelcsh:MicrobiologySBML03 medical and health sciences0302 clinical medicineData visualizationGraph drawingProtocolACETATEdata visualizationCELLSBMLCYTOSCAPEMolecular BiologyGENE-EXPRESSIONSoftware visualizationbusiness.industryPATHWAY ANALYSISnetwork visualizationelementary flux modesToolboxVisualization030104 developmental biologyWorkflowDEFINITIONESCHERICHIA-COLIGROWTHData miningbusinesscomputerSET030217 neurology & neurosurgeryMetabolites
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Topographic Independent Component Analysis reveals random scrambling of orientation in visual space

2017

Neurons at primary visual cortex (V1) in humans and other species are edge filters organized in orientation maps. In these maps, neurons with similar orientation preference are clustered together in iso-orientation domains. These maps have two fundamental properties: (1) retinotopy, i.e. correspondence between displacements at the image space and displacements at the cortical surface, and (2) a trade-off between good coverage of the visual field with all orientations and continuity of iso-orientation domains in the cortical space. There is an active debate on the origin of these locally continuous maps. While most of the existing descriptions take purely geometric/mechanistic approaches whi…

0301 basic medicineComputer scienceVisionVisual spaceStatistics as Topiclcsh:MedicineSocial SciencesSpace (mathematics)Scramblingchemistry.chemical_compound0302 clinical medicineCognitionLearning and MemoryAnimal CellsMedicine and Health SciencesPsychologylcsh:Sciencemedia_commonVisual CortexNeuronsMammalsObject RecognitionCoding MechanismsBrain MappingMultidisciplinaryGeographyOrientation (computer vision)Visual fieldmedicine.anatomical_structureVertebratesSensory PerceptionCellular TypesAnatomyNeuronal TuningResearch ArticleCartographyPrimatesmedia_common.quotation_subjectOcular AnatomyRetina03 medical and health sciencesTopographic MapsOcular SystemMemoryPerceptionOrientationNeuronal tuningmedicineAnimalsHumansCortical surfaceComputational NeuroscienceRetinabusiness.industrylcsh:ROrganismsCognitive PsychologyBiology and Life SciencesComputational BiologyRetinalPattern recognitionCell Biology030104 developmental biologyVisual cortexchemistryRetinotopyCellular NeuroscienceAmniotesEarth SciencesCognitive Sciencelcsh:QPerceptionArtificial intelligencebusiness030217 neurology & neurosurgeryNeurosciencePLoS ONE
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Rocker: Open source, easy-to-use tool for AUC and enrichment calculations and ROC visualization

2016

Receiver operating characteristics (ROC) curve with the calculation of area under curve (AUC) is a useful tool to evaluate the performance of biomedical and chemoinformatics data. For example, in virtual drug screening ROC curves are very often used to visualize the efficiency of the used application to separate active ligands from inactive molecules. Unfortunately, most of the available tools for ROC analysis are implemented into commercially available software packages, or are plugins in statistical software, which are not always the easiest to use. Here, we present Rocker, a simple ROC curve visualization tool that can be used for the generation of publication quality images. Rocker also…

0301 basic medicineComputer scienceautomatic calculationLibrary and Information Sciencescomputer.software_genre01 natural sciences03 medical and health sciencesSoftwareArea under curvePlug-inPhysical and Theoretical ChemistryVirtual screeningReceiver operating characteristicbusiness.industryComputer Graphics and Computer-Aided Design0104 chemical sciencesComputer Science ApplicationsVisualizationreceiver operating characteristics010404 medicinal & biomolecular chemistryIdentification (information)ComputingMethodologies_PATTERNRECOGNITION030104 developmental biologyarea under curvesRockerCheminformaticsData miningbusinesscomputerSoftwaresoftwaresJournal of Cheminformatics
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Correlation between micro-hardness and mineral content in healthy human enamel

2016

Background Enamel is the hardest and the stiffest tissue in the human body. The enamel undergoes multidirectional stresses, withstands multimillion chewing cycles, all while protecting the internal dentin and pulp from damage due to mechanical overload and exposure to the harsh chemical environment of the mouth. Raman spectroscopy allows to study enamel mineral content in a non-destructive and site-specific way. While Raman spectroscopy has been applied in other studies to assess tooth mineralization, there are no studies that examine the relationship between micro-hardness and mineral content of the untreated enamel. An understanding of this relationship is extremely important in a clinica…

0301 basic medicineDentistryIndentation hardness03 medical and health sciencessymbols.namesake0302 clinical medicineBrinell scaleIncisorstomatognathic systemBiomaterials and Bioengineering in DentistryDentinmedicineGeneral DentistryEnamel paintbusiness.industryChemistryResearch030206 dentistry:CIENCIAS MÉDICAS [UNESCO]stomatognathic diseases030104 developmental biologymedicine.anatomical_structurevisual_artUNESCO::CIENCIAS MÉDICASvisual_art.visual_art_mediumsymbolsPulp (tooth)Raman microscopebusinessRaman spectroscopy
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A time based objective evaluation of the erosive effects of various beverages on enamel and cementum of deciduous and permanent teeth

2019

Background Erosion of the teeth is a chronic irreversible process leading to loss of surface enamel and even the dentin, in turn causing sensitivity and pain. Increased consumption of carbonated beverages remains a major cause for dental erosion. However, many of the so called safe beverages that are consumed may also have sufficiently low pH to cause dental erosion. One of the parameters to measure the dental erosion is estimation of hardness and surface roughness. Thus, this study aims to evaluate the difference in hardness and surface roughness of enamel and cementum using three beverages namely (carbonated drink, lime soda, lime juice) in deciduous and permanent teeth. Material and Meth…

0301 basic medicineDentistryengineering.materialcomplex mixtures03 medical and health sciences0302 clinical medicinestomatognathic systemCarbonated drinkmedicineDentinDeciduous teethCementumGeneral DentistryPermanent teethLimeEnamel paintbusiness.industryChemistryResearch030206 dentistry:CIENCIAS MÉDICAS [UNESCO]Community and Preventive Dentistrystomatognathic diseasesmedicine.anatomical_structurevisual_artUNESCO::CIENCIAS MÉDICASVickers hardness testvisual_art.visual_art_mediumengineering030101 anatomy & morphologybusinessJournal of Clinical and Experimental Dentistry
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A framework for data-driven adaptive GUI generation based on DICOM

2018

Computer applications for diagnostic medical imaging provide generally a wide range of tools to support physicians in their daily diagnosis activities. Unfortunately, some functionalities are specialized for specific diseases or imaging modalities, while other ones are useless for the images under investigation. Nevertheless, the corresponding Graphical User Interface (GUI) widgets are still present on the screen reducing the image visualization area. As a consequence, the physician may be affected by cognitive overload and visual stress causing a degradation of performances, mainly due to unuseful widgets. In clinical environments, a GUI must represent a sequence of steps for image investi…

0301 basic medicineDiagnostic ImagingAutomatedComputer scienceData-driven GUI generation; DICOM; Faceted classification; Graphical user interfaces; Medical diagnostic software; Algorithms; Brain; Cognition; Computers; Decision Support Systems Clinical; Diagnostic Imaging; Feasibility Studies; Humans; Magnetic Resonance Imaging; Medical Informatics; Pattern Recognition Automated; Software; Computer Graphics; Radiology Information Systems; User-Computer InterfaceGraphical user interfacesDecision Support SystemsHealth InformaticsPattern Recognitioncomputer.software_genrePattern Recognition Automated030218 nuclear medicine & medical imaging03 medical and health sciencesDICOMClinicalUser-Computer Interface0302 clinical medicineSoftwareCognitionHuman–computer interactionComputer GraphicsHumansDICOMGraphical user interfaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFaceted classificationbusiness.industryComputersData-driven GUI generationBrainComputer Science Applications1707 Computer Vision and Pattern RecognitionMedical diagnostic softwareDecision Support Systems ClinicalMagnetic Resonance ImagingComputer Science ApplicationsVisualizationSoftware frameworkGraphical user interface030104 developmental biologyWorkflowRadiology Information SystemsInformation modelSoftware designFeasibility StudiesbusinesscomputerAlgorithmsMedical InformaticsSoftware
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Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM

2019

Single-cell transcriptomic assays have enabled the de novo reconstruction of lineage differentiation trajectories, along with the characterization of cellular heterogeneity and state transitions. Several methods have been developed for reconstructing developmental trajectories from single-cell transcriptomic data, but efforts on analyzing single-cell epigenomic data and on trajectory visualization remain limited. Here we present STREAM, an interactive pipeline capable of disentangling and visualizing complex branching trajectories from both single-cell transcriptomic and epigenomic data. We have tested STREAM on several synthetic and real datasets generated with different single-cell techno…

0301 basic medicineEpigenomicsMultifactor Dimensionality ReductionComputer scienceGeneral Physics and Astronomy02 engineering and technologyOmics dataMyoblastsMiceSingle-cell analysisGATA1 Transcription FactorMyeloid CellsLymphocyteslcsh:ScienceData processingMultidisciplinaryQGene Expression Regulation DevelopmentalRNA sequencingCell DifferentiationGenomics021001 nanoscience & nanotechnologyData processingDNA-Binding ProteinsInterferon Regulatory FactorsSingle-Cell Analysis0210 nano-technologyAlgorithmsOmics technologiesSignal TransductionLineage differentiationScienceComputational biologyGeneral Biochemistry Genetics and Molecular BiologyArticle03 medical and health sciencesErythroid CellsAnimalsCell LineageGeneral Chemistrydevelopmental trajectories visualizationHematopoietic Stem CellsPipeline (software)Visualization030104 developmental biologyTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESCellular heterogeneitySingle cell analysilcsh:QGene expressionTranscriptomeTranscription FactorsNature Communications
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