Search results for "Signal"

showing 10 items of 6924 documents

Stem cells, cancer stem-like cells, and natural products.

2012

Somatic stem cells can be found in many rapidly regenerating tissues, e.g., the skin, gastrointestinal mucosa, and hematopoietic system, but are also present at low numbers in non-regenerative organs such as the heart and brain. In these organs, somatic stem cells aid in normal tissue homeostasis and repair after injury as well as self-renewal and the generation of specific progenitor cells during differentiation. Cancer stem-like cells are a small subpopulation of self-renewing cells that are able to proliferate upon appropriate stimulation and differentiate into heterogeneous lineages in tumors. Modulation of the behavior of normal tissue stem cells and cancer stem-like cells is an emergi…

Pluripotent Stem CellsPathologymedicine.medical_specialtyCell SurvivalStem cell theory of agingPharmaceutical ScienceClinical uses of mesenchymal stem cellsTretinoinBiologyAnalytical ChemistryCancer stem cellNeoplasmsDrug DiscoverymedicineHumansCell LineageProgenitor cellEmbryonic Stem CellsStem cell transplantation for articular cartilage repairCell ProliferationPharmacologyBiological ProductsOrganic ChemistryCell DifferentiationCell Cycle CheckpointsAntineoplastic Agents PhytogenicCell biologyComplementary and alternative medicineAmniotic epithelial cellsNeoplastic Stem CellsMolecular MedicineStem cellAdult stem cellSignal TransductionPlanta medica
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Applying Artificial Intelligence Methods to Detect and Classify Fish Calls from the Northern Gulf of Mexico

2021

Passive acoustic monitoring is a method that is commonly used to collect long-term data on soniferous animal presence and abundance. However, these large datasets require substantial effort for manual analysis

Point of interestComputer scienceneural networkNaval architecture. Shipbuilding. Marine engineeringVM1-989Ocean EngineeringGC1-1581OceanographyClassifier (linguistics)VDP::Matematikk og Naturvitenskap: 400::Basale biofag: 470VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920Water Science and TechnologyCivil and Structural EngineeringGulf of MexicoRecallArtificial neural networkbusiness.industryDetectorfish call detectionfish soundsPattern recognitionenergy detectorartificial intelligenceVariable (computer science)classificationNoise (video)Artificial intelligencebusinessEnergy (signal processing)Journal of Marine Science and Engineering
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The INTEGRAL IBIS/ISGRI System Point Spread Function and Source Location Accuracy

2003

The imager on board INTEGRAL (IBIS) presently provides the most detailed sky images ever obtained at energies above 30 keV. The telescope is based on a coded aperture imaging system which allows to obtain sky images in a large field of view 29deg x 29deg with an angular resolution of 12'. The System Point Spread Function of the telescope and its detailed characteristics are here described along with the specific analysis algorithms used to derive the accurate point-like source locations. The derived location accuracy is studied using the first in-flight calibration data on strong sources for the IBIS/ISGRI system. The dependence of the calibrated location accuracy with the signal to noise r…

Point spread functionAstrophysics::High Energy Astrophysical PhenomenaData analysisFOS: Physical sciencesImage processingField of viewAstrophysicsAstrophysicsUNESCO::ASTRONOMÍA Y ASTROFÍSICAlaw.inventionTelescopeHigh angular resolutionSignal-to-noise ratioImage processinglawData analysis ; Image processing ; High angular resolutionAngular resolutionCoded aperture:ASTRONOMÍA Y ASTROFÍSICA::Astronomía óptica [UNESCO]Remote sensingIbisPhysicsbiologyUNESCO::ASTRONOMÍA Y ASTROFÍSICA::Astronomía ópticaAstrophysics (astro-ph)Astrophysics::Instrumentation and Methods for AstrophysicsAstronomy and Astrophysicsbiology.organism_classificationSpace and Planetary Science:ASTRONOMÍA Y ASTROFÍSICA [UNESCO]
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One-dimensional iterative algorithm for three-dimensional point-spread function engineering.

2001

We present a new method with which to binarize pupil filters designed to control the three-dimensional irradiance distribution in the focal volume of an optical system. The method is based on a one-dimensional iterative algorithm, which results in efficient use of computation time and in simple, easy to fabricate binary filters. An acceptable degree of resemblance between the point-spread function of the annular binary filter and that of its gray-tone counterpart is obtained.

Point spread functionComputer scienceIterative methodbusiness.industryComputationFast Fourier transformComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONBinary numberFilter (signal processing)Function (mathematics)Atomic and Molecular Physics and OpticsOpticsOptical filterbusinessOptics letters
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Total Variation Based Image Restoration

2004

For the purpose of image restoration the process of image formation can be modeled in a first approximation by the formula [207] $$ {u_d} = Q\{ II(k*u) + n\} , $$ (1.1) where u represents the photonic flux k is the point spread function of the optical-captor joint apparatus П is a sampling operator, i.e., a Dirac comb supported by the centers of the matrix of digital sensors, n represents a random perturbation due to photonic or electronic noise, and Qis a uniform quantization operator mapping ℝ to a discrete interval of values, typically [0, 255].

Point spread functionImage formationPhysicsDiscrete mathematicssymbols.namesakeMatrix (mathematics)Sampling (signal processing)Operator (physics)symbolsInterval (mathematics)Dirac combImage restoration
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Axial resolution in two-color excitation fluorescence microscopy by phase-only binary apodization

2005

We study the effect of a kind of binary phase-only filters, the Toraldo filters, in two-color excitation fluorescence microscopy. We show that by simple insertion of a properly designed Toraldo filter in one of the illumination arms the axial resolution of the system is significantly improved. Specifically, the main peak of the point spread function is narrowed by 22% along the axial direction.

Point spread functionMaterials sciencebusiness.industryExcitation filterPhase (waves)Filter (signal processing)Atomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsOpticsApodizationFluorescence microscopeElectrical and Electronic EngineeringPhysical and Theoretical ChemistrybusinessOptical filterExcitationOptics Communications
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Manufacture of pupil filters for 3D beam shaping

2007

In a previous work we presented a new method for binarizing pupil filters designed to control the three-dimensional (3D) irradiance distribution in the focal volume of apodized systems. The method is based in the fact that the 3D amplitude point spread function of an axially-symmetrical system can be recovered entirely from a one-dimensional (1D) set of regularly spaced amplitude samples. Hence we proposed the use of 1D iterative Fourier transform algorithm to binarize a, properly mapped, version of the amplitude transmittance of the filter. The binary masks obtained consist of a set of opaque and transparent concentric annular zones. In this paper we have built two of these masks with oppo…

Point spread functionOpacityComputer sciencebusiness.industryBinary numberFilter (signal processing)Atomic and Molecular Physics and OpticsElectronic Optical and Magnetic Materialssymbols.namesakeFourier transformAmplitudeOpticsApodizationsymbolsTransmittanceElectrical and Electronic EngineeringPhysical and Theoretical ChemistrybusinessOptics Communications
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Variational multiframe restoration of images degraded by noisy (stochastic) blur kernels

2013

This article introduces and explores a class of degradation models in which an image is blurred by a noisy (stochastic) point spread function (PSF). The aim is to restore a sharper and cleaner image from the degraded one. Due to the highly ill-posed nature of the problem, we propose to recover the image given a sequence of several observed degraded images or multiframes. Thus we adopt the idea of the multiframe approach introduced for image super-resolution, which reduces distortions appearing in the degraded images. Moreover, we formulate variational minimization problems with the robust (local or nonlocal) L^1 edge-preserving regularizing energy functionals, unlike prior works dealing wit…

Point spread functionSequenceMathematical optimizationApplied MathematicsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION010103 numerical & computational mathematics02 engineering and technology01 natural sciencesImage (mathematics)Computational MathematicsComputer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSegmentationMinification0101 mathematicsAlgorithmEnergy (signal processing)Image restorationDegradation (telecommunications)MathematicsJournal of Computational and Applied Mathematics
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Iterative Regularization Techniques in Image Reconstruction

2000

In this survey we review recent developments concerning the efficient iterative regularization of image reconstruction problems in atmospheric imaging. We present a number of preconditioners for the minimization of the corresponding Tikhonov functional, and discuss the alternative of terminating the iteration early, rather than adding a stabilizing term in the Tikhonov functional. The methods are examplified for a (synthetic) model problem.

Point spread functionTikhonov regularizationMathematical optimizationConjugate gradient methodMinificationIterative reconstructionRegularization (mathematics)AlgorithmSignal subspaceMathematics
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2021

Abstract We propose a signal deconvolution procedure for imaging spectrometer data, where a measured point spread function (PSF) is deconvolved itself before being used for deconvolution of the signal. We evaluate the effectiveness of our procedure for improvement of the spatio-spectral signal, as well as our target application, i.e. estimation of sun-induced fluorescence (SIF). Imaging spectrometers are well established instruments for remote sensing. When used for scientific purposes these instruments are usually calibrated on a regular basis. In our case the point spread function of the optics is measured in an elaborate procedure with a tunable monochromator point light source. PSFs are…

Point spread functionmedicine.medical_specialtyComputer scienceWiener filterAstrophysics::Instrumentation and Methods for AstrophysicsImaging spectrometerSoil ScienceHyperspectral imagingGeologyPeak signal-to-noise ratioSpectral imagingsymbols.namesakesymbolsmedicineDeconvolutionComputers in Earth SciencesImage sensorAlgorithmRemote sensingRemote Sensing of Environment
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