Search results for "TRACKING"

showing 10 items of 709 documents

Erratum to: miRNAs and sports: tracking training status and potentially confounding diagnoses

2016

Erratum to: J Transl Med (2016) 14:219 DOI 10.1186/s12967-016-0974-x Unfortunately, the original version of this article [1] contained an error. The name of the author [Farbod Sedaghat] was incorrect, the author's surname should be Sedaghat-Hamedani. The author's name is Farbod Sedaghat-Hamedani.

Medicine(all)0301 basic medicinePathologymedicine.medical_specialtyBiochemistry Genetics and Molecular Biology(all)business.industryConfoundingGeneral MedicineGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences030104 developmental biology0302 clinical medicine030220 oncology & carcinogenesisFamily medicinemedicineTracking (education)Medical diagnosisbusinessJournal of Translational Medicine
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2018

A music reader has to “look ahead” from the notes currently being played—this has usually been called the Eye-Hand Span. Given the restrictions on processing time due to tempo and meter, the Early Attraction Hypothesis suggests that sight readers are likely to locally increase the span of looking ahead in the face of complex upcoming symbols (or symbol relationships). We argue that such stimulus-driven effects on looking ahead are best studied using a measure of Eye-Time Span (ETS) which redefines looking ahead as the metrical distance between the position of a fixation in the score and another position that corresponds to the point of metrical time at fixation onset. In two experiments of…

MelodyVision spanMusic psychology05 social sciences06 humanities and the artsAttraction050105 experimental psychologySensory SystemsSight-reading060404 musicSightOphthalmologyEye tracking0501 psychology and cognitive sciencesEye–hand spanPsychology0604 artsCognitive psychologyJournal of Eye Movement Research
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Live imaging of stem cell and progeny behaviour in physiological hair-follicle regeneration

2012

Tissue development and regeneration depend on cell-cell interactions and signals that target stem cells and their immediate progeny. However, the cellular behaviours that lead to a properly regenerated tissue are not well understood. Using a new, non-invasive, intravital two-photon imaging approach we study physiological hair-follicle regeneration over time in live mice. By these means we have monitored the behaviour of epithelial stem cells and their progeny during physiological hair regeneration and addressed how the mesenchyme influences their behaviour. Consistent with earlier studies, stem cells are quiescent during the initial stages of hair regeneration, whereas the progeny are more …

MesodermCell divisionCell SurvivalMesenchymeMice TransgenicBiologyArticleMesodermMiceCell MovementStem CellLive cell imagingmedicineAnimalsRegenerationMultidisciplinaryintegumentary systemAnimalStem CellsMedicine (all)Regeneration (biology)DermisHair follicleCell biologyMicroscopy Fluorescence Multiphotonmedicine.anatomical_structureAnimals; Cell Division; Cell Movement; Cell Survival; Cell Tracking; Dermis; Hair Follicle; Laser Therapy; Mesoderm; Mice; Mice Transgenic; Microscopy Fluorescence Multiphoton; Regeneration; Stem Cells; Medicine (all); MultidisciplinaryCell TrackingDermiLaser TherapyStem cellHair FollicleDevelopmental biologyCell DivisionNature
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Wood-inhabiting fungal communities : Opportunities for integration of empirical and theoretical community ecology

2022

Publisher Copyright: © 2021 The Author The interest in studying wood-inhabiting fungal communities has grown in recent years. This interest has mainly been motivated by the important roles of wood-inhabiting fungi in ecosystem functioning (e.g. nutrient cycling) and conservation biology (e.g. their sensitivity to forest management). In this paper, I argue that another important, but yet largely unexplored motivation for studying wood-inhabiting fungal communities, is their potential to advance fundamental community ecology. One major advantage of wood-inhabiting fungi as model systems is that they are organized as spatially well-defined metacommunities, thus conforming to the assumptions of…

Metacommunity systemAssembly processFungal communityWood decaying communityHabitat patchSaproxylic communityResource-tracking communityeliöyhteisötsienetlahopuutAssembly rulelahottajasienet4111 Agronomy
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A microscope configuration for nanometer 3-D movement monitoring accuracy.

2011

In this paper we present a new microscopy configuration based upon temporal tracking of a secondary reflected speckle by imaging the speckle through properly defocused optics. The configuration is used to monitor three-dimensional (3-D) spontaneous contraction of rat cardiac muscle cells while achieving nanometer tracking accuracy at a rate of 30 frames per second (fps) without using interferometric recording. Estimation of the change in the optical path of accuracy of 50 nm in the transverse direction and of 200 nm in the axial direction was achieved.

MicroscopyMicroscopeMaterials sciencebusiness.industryFourier opticsGeneral Physics and AstronomyCell BiologyTracking (particle physics)Frame ratelaw.inventionRatsSpeckle patternInterferometryOpticsOptical pathImaging Three-DimensionalStructural BiologylawMicroscopyAnimalsGeneral Materials ScienceMyocytes CardiacbusinessCells CulturedMicron (Oxford, England : 1993)
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Site-by-site tracking of signal transduction in an azidophenylalanine-labeled bacteriophytochrome with step-scan FTIR spectroscopy

2021

Signal propagation in photosensory proteins is a complex and multidimensional event. Unraveling such mechanisms site-specifically in real time is an eligible but a challenging goal. Here, we elucidate the site-specific events in a red-light sensing phytochrome using the unnatural amino acid azidophenylalanine, vibrationally distinguishable from all other protein signals. In canonical phytochromes, signal transduction starts with isomerization of an excited bilin chromophore, initiating a multitude of processes in the photosensory unit of the protein, which eventually control the biochemical activity of the output domain, nanometers away from the chromophore. By implementing the label in pri…

Models MolecularAzidesProtein ConformationPhenylalaninespektroskopiaTongue regionGeneral Physics and Astronomyfotobiologia010402 general chemistryTracking (particle physics)01 natural sciences03 medical and health scienceschemistry.chemical_compoundBacterial ProteinsSpectroscopy Fourier Transform InfraredAmino Acid SequenceAmino AcidsPhysical and Theoretical ChemistryFourier transform infrared spectroscopyBilin030304 developmental biology0303 health sciencesBinding SitesStaining and LabelingbiologyPhytochromeChemistryDeinococcus radioduransChromophorePhotochemical Processesbiology.organism_classification0104 chemical sciencesKineticsBiophysicsPhytochromeproteiinitvalokemiaSignal transductionProtein BindingSignal TransductionPhysical Chemistry Chemical Physics
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High-Speed and Robust Monocular Tracking

2015

In this paper, we present a system for high-speed robust monocular tracking (HSRM-Tracking) of active markers. The proposed algorithm robustly and accurately tracks multiple markers at full framerate of current high-speed cameras. For this, we have developed a novel, nearly co-planar marker pattern that can be identified without initialization or incremental tracking. The pattern also encodes a unique ID to identify different markers. The individual markers are calibrated semi-automatically, thus no time-consuming and error-prone manual measurement is needed. Finally we show that the minimal spatial structure of the marker can be used to robustly avoid pose ambiguities even at large distanc…

MonocularMultiple markersSpatial structurebusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMeasure (physics)InitializationComputer visionArtificial intelligenceTracking (particle physics)businessProceedings of the 10th International Conference on Computer Vision Theory and Applications
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Using deep neural networks for kinematic analysis: Challenges and opportunities

2020

Kinematic analysis is often performed in a lab using optical cameras combined with reflective markers.\ud With the advent of artificial intelligence techniques such as deep neural networks, it is now possible\ud to perform such analyses without markers, making outdoor applications feasible. In this paper I summarise\ud 2D markerless approaches for estimating joint angles, highlighting their strengths and limitations.\ud In computer science, so-called ‘‘pose estimation” algorithms have existed for many years. These methods\ud involve training a neural network to detect features (e.g. anatomical landmarks) using a process called\ud supervised learning, which requires ‘‘training” images to be …

Motion analysisComputer scienceProcess (engineering)media_common.quotation_subject0206 medical engineeringBiomedical EngineeringBiophysicsneuroverkot02 engineering and technologyMachine learningcomputer.software_genreTask (project management)QA7603 medical and health sciences0302 clinical medicineDeep LearningArtificial IntelligenceHumansOrthopedics and Sports MedicineQuality (business)liikeanalyysiPosemedia_commonQMliikeoppiArtificial neural networkGV557_SportsT1business.industrymotion analysisRehabilitationSupervised learningdeep neural networkartificial intelligence020601 biomedical engineeringBiomechanical Phenomenakoneoppiminenkinematicsmarkerless trackingArtificial intelligenceNeural Networks ComputerbusinessTransfer of learningcomputer030217 neurology & neurosurgeryAlgorithms
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Automatic detection and analysis of cell motility in phase-contrast time-lapse images using a combination of maximally stable extremal regions and Ka…

2013

Phase-contrast illumination is simple and most commonly used microscopic method to observe nonstained living cells. Automatic cell segmentation and motion analysis provide tools to analyze single cell motility in large cell populations. However, the challenge is to find a sophisticated method that is sufficiently accurate to generate reliable results, robust to function under the wide range of illumination conditions encountered in phase-contrast microscopy, and also computationally light for efficient analysis of large number of cells and image frames. To develop better automatic tools for analysis of low magnification phase-contrast images in time-lapse cell migration movies, we investiga…

Motion analysisHistologyMaximally stable extremal regionsbusiness.industryComputer scienceComputationKalman filterTracking (particle physics)Pathology and Forensic MedicineTemporal databaseRange (mathematics)Computer visionSegmentationArtificial intelligencebusinessJournal of Microscopy
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Chapter 12. Multimodal measurement of cognitive load during subtitle processing

2018

MultimediaComputer scienceWorking memory05 social sciencesForeign language050301 educationcomputer.software_genre050105 experimental psychologyMultimodalityEye trackingSubtitle0501 psychology and cognitive sciences0503 educationcomputerCognitive load
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