Search results for "WAVELENGTH"

showing 10 items of 741 documents

In vitro histological evaluation of the surgical margins made by different laser wavelengths in tongue tissues

2016

Background: Lasers have become standard tools for the surgical treatment of oral lesions. The purpose of this study is to determine the surgical margins and histologically evaluate the tissue thermal effects induced by different types of surgical instruments. Material and Methods: Cuts were made in pork tonguesâ mucosa with different lasers (Er:YAG at 2W with and without air / water spray and at 4W with and without air / water spray; CO2 at 3.5W and 7W in pulsed mode and at 7W in continuous mode; the diode laser at 3.5W and boost 3.5W in pulsed mode; Nd:YAG at 6W, 40Hz and electroscalpel at 5W and conventional scalpel as control. Macroscopic and microscopic morphological changes were evalua…

medicine.medical_specialtyMaterials scienceOdontologíaOral cavitylaw.invention030207 dermatology & venereal diseases03 medical and health sciences0302 clinical medicinelawTonguemedicineOral mucosaGeneral DentistryResearchHistopathological analysisSoft tissue030206 dentistryLaserCiencias de la saludSurgeryWavelengthmedicine.anatomical_structureUNESCO::CIENCIAS MÃ DICASPulsed mode:CIENCIAS MÃ DICAS [UNESCO]Oral SurgeryBiomedical engineeringJournal of Clinical and Experimental Dentistry
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Evaluation of Skin Melanoma in Spectral Range 450-950 nm Using Principal Component Analysis

2013

Diagnostic potential of principal component analysis (PCA) of multi-spectral imaging data in the wavelength range 450-950 nm for distant skin melanoma recognition is discussed. Processing of the measured clinical data by means of PCA resulted in clear separation between malignant melanomas and pigmented nevi.

medicine.medical_specialtyMaterials scienceintegumentary systemWavelength rangebusiness.industryMelanomamedicine.diseaseImaging dataSpectral imagingOpticsNuclear magnetic resonancePrincipal component analysisPigmented NevusmedicineSkin melanomabusinessneoplasms
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Spotlight on fundus autofluorescence.

2018

Fundus autofluorescence (FAF) imaging is based on the fluorescence from ocular endogenous fluorophores located in the retinal pigment epithelium and choroid, mainly lipofuscin and melanin. It is a noninvasive technique that provides information about the spatial distribution of lipofuscin/melanin and retinal pigment epithelium health status. An overview about the fluorophores responsible for FAF imaging and the usefulness of FAF imaging in the noninvasive assessment and monitoring of retinal diseases, such as age-related macular degeneration, diabetic retinopathy, diabetic macular edema, central serous chorioretinopthy, retinitis pigmentosa and retinal dystrophies, are discussed in this rev…

medicine.medical_specialtygenetic structuresReviewLipofuscinchemistry.chemical_compoundOphthalmologyRetinitis pigmentosamedicinelipofuscinRetinal pigment epitheliumfundus autofluorescencebusiness.industrynear-infrared fundus autofluorescenceshort-wavelength fundus autofluorescenceRetinalDiabetic retinopathyMacular degenerationmedicine.diseaseSensory Systemseye diseasesmelaninOphthalmologymedicine.anatomical_structurechemistryChoroidsense organsbusinessRetinal DystrophiesClinical optometry
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Measurement of nonlinear and chromatic dispersion parameters of optical fibers using modulation instability

2006

International audience; We present a simple method for the measurement of Kerr, second- and third-order dispersion coefficients in optical fibers using power and dispersion dependences of modulation instability near the zero-dispersion wavelength. We also complete the analysis by the accurate determination of the zero-dispersion wavelength of the fiber using the phase-matched four wave mixing process which occurs near this specific wavelength.

optical fiberOptical fiberMaterials sciencePhysics::Opticslaw.inventionchromatic dispersionZero-dispersion wavelengthOpticsfour wave mixinglawDispersion (optics)Dispersion-shifted fiberModal dispersionElectrical and Electronic EngineeringInstrumentationbusiness.industryCross-phase modulationSingle-mode optical fibermodulation instabilitynonlinearityAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsWavelength[ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Control and Systems Engineeringbusiness
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Measurement of the soliton number in guiding media through continuum generation.

2020

No general approach is available yet to measure directly the ratio between chromatic dispersion and the nonlinear coefficient, and hence the soliton number for a given optical pulse, in an arbitrary guiding medium. Here we solve this problem using continuum generation. We experimentally demonstrate our method in polarization-maintaining and single-mode fibers with positive and negative chromatic dispersion. Our technique also offers new opportunities to determine the chromatic dispersion of guiding media over a broad spectral range while pumping at a fixed wavelength. (C) 2020 Optical Society of America

optical fiberOptical fiberPhysics::Optics02 engineering and technology01 natural scienceslaw.invention010309 opticschromatic dispersionOptics:FÍSICA [UNESCO]law0103 physical sciencesDispersion (optics)supercontinuum generationPhysicsCONTINUOUS-WAVE MEASUREMENT; PHASE-MODULATION METHOD; OPTICAL-FIBERS; SUPERCONTINUUM GENERATION; REFRACTIVE-INDEX; DISPERSION; COEFFICIENT; INTERFEROMETER; NONLINEARITY; COMPRESSIONsoliton propagationContinuum (measurement)business.industrynonlinear opticsUNESCO::FÍSICANonlinear coefficient021001 nanoscience & nanotechnologyAtomic and Molecular Physics and OpticsNonlinear systemWavelengthInterferometry0210 nano-technologybusinessRefractive indexOptics letters
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Optimal Spectral Wavelengths for Discriminating Orchard Species Using Multivariate Statistical Techniques

2019

Sustainable management of orchard fields requires detailed information about the tree types, which is a main component of precision agriculture programs. To this end, hyperspectral imagery can play a major role in orchard tree species mapping. Efficient use of hyperspectral data in combination with field measurements requires the development of optimized band selection strategies to separate tree species. In this study, field spectroscopy (350 to 2500 nm) was performed through scanning 165 spectral leaf samples of dominant orchard tree species (almond, walnut, and grape) in Chaharmahal va Bakhtiyari province, Iran. Two multivariable methods were employed to identify the optimum wavelengths:…

optimal spectral wavelengths010504 meteorology & atmospheric sciences0211 other engineering and technologiesRed edge02 engineering and technologyfield spectroscopy; orchards species; ANOVA–RFC–PCA; PLS; optimal spectral wavelengths; discriminant analysis01 natural sciencesPartial least squares regressionlcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensinganova–rfc–pcaorchards speciesNear-infrared spectroscopyHyperspectral imaging15. Life on landplsLinear discriminant analysisdiscriminant analysisfield spectroscopyRandom forestTree (data structure)Principal component analysisGeneral Earth and Planetary Scienceslcsh:QRemote Sensing
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Optimization of the JUNO liquid scintillator composition using a Daya Bay antineutrino detector

2021

To maximize the light yield of the liquid scintillator (LS) for the Jiangmen Underground Neutrino Observatory (JUNO), a 20 t LS sample was produced in a pilot plant at Daya Bay. The optical properties of the new LS in various compositions were studied by replacing the gadolinium-loaded LS in one antineutrino detector. The concentrations of the fluor, PPO, and the wavelength shifter, bis-MSB, were increased in 12 steps from 0.5 g/L and <0.01 mg/L to 4 g/L and 13 mg/L, respectively. The numbers of total detected photoelectrons suggest that, with the optically purified solvent, the bis-MSB concentration does not need to be more than 4 mg/L. To bridge the one order of magnitude in the detect…

organic compounds: admixtureNuclear and High Energy PhysicsPhysics - Instrumentation and DetectorsLiquid scintillatorscintillation counter: liquidAnalytical chemistryFOS: Physical sciencesmodel: opticalScintillatorWavelength shifterantineutrino: detector01 natural sciencesNOHigh Energy Physics - Experimentwavelength shifterHigh Energy Physics - Experiment (hep-ex)PE2_2Daya BayNeutrino0103 physical sciencesfluorine: admixture[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]ddc:530neutrino oscillation[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsInstrumentationJiangmen Underground Neutrino ObservatoryPhysicsJUNO010308 nuclear & particles physicsSettore FIS/01 - Fisica SperimentaleDetectorLight yield; Liquid scintillator; NeutrinoInstrumentation and Detectors (physics.ins-det)Yield (chemistry)Scintillation counterComposition (visual arts)photon: yieldNeutrinoLight yieldNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
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Photoelectron emission experiments with ECR-driven multi-dipolar negative ion plasma source

2017

Photoelectron emission measurements have been performed using a 2.45 GHz ECR-driven multi-dipolar plasma source in a low pressure hydrogen discharge. Photoelectron currents induced by light emitted from ECR zone and H− production region are measured from Al, Cu, Mo, Ta, and stainless steel (SAE 304) surfaces as a function of microwave power and neutral hydrogen pressure. The total photoelectron current from the plasma chamber wall is estimated to reach values up to 1 A for 900 W of injected microwave power. It is concluded that the volumetric photon emission rate in wavelength range relevant for photoelectron emission is a few times higher in arc discharge. peerReviewed

plasma sourcesta114HydrogenWavelength rangeChemistryPhysics::Instrumentation and DetectorssyklotronitMicrowave powerAnalytical chemistrychemistry.chemical_elementPlasmaplasmatekniikkaelektronitIonElectric arcECR ion sourcesDipolePhysics::Plasma PhysicsPhysics::Atomic and Molecular ClustersphotoelectronsCurrent (fluid)Atomic physicsemissio (fysiikka)
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Analysis of FBG reflection spectra under uniform and non-uniform transverse loads

2019

Loads applied transversely on the external surface of waveguides change their circular cross-sectional geometry generating birefringence. Due to this effect the reflected spectrum of a Fibre Bragg grating (FBG) undergoes a splitting of the single peak of the Bragg wavelength. In this work, we employed the Transfer Matrix Method (TMM) for x- and y-polarized wave-modes to model the uniform FBG reflection spectra for uniform and non-uniform transverse loads. We also performed experimental measurements for two different transverse load scenarios. The load profiles chosen for these experiments were applied on the FBG sensor through a block of steel and a roll bearing pin. Then, the modelled and …

polarizationtransverse loadsMaterials scienceBirefringencebirefringencebusiness.industryPhysics::Opticsuniform FBGStructural Health Monitoring (SHM)uniform FBG birefringence transverse loads transfer matrix Structural Health Monitoring (SHM) polarization.Polarization (waves)Transfer matrixSpectral lineTransverse planeWavelengthOpticsFiber Bragg gratingtransfer matrixbusinessGLUESettore ING-IND/04 - Costruzioni E Strutture Aerospaziali
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Biomass estimator for NIR image with a few additional spectral band images taken from light UAS

2012

A novel way to produce biomass estimation will offer possibilities for precision farming. Fertilizer prediction maps can be made based on accurate biomass estimation generated by a novel biomass estimator. By using this knowledge, a variable rate amount of fertilizers can be applied during the growing season. The innovation consists of light UAS, a high spatial resolution camera, and VTT's novel spectral camera. A few properly selected spectral wavelengths with NIR images and point clouds extracted by automatic image matching have been used in the estimation. The spectral wavelengths were chosen from green, red, and NIR channels.

ta113Computer scienceFabry-Perotprecision farmingNear-infrared spectroscopyPoint cloudEstimatorBiomassSpectral bandsNIRBiomass estimationfertilizerestimatorWavelength/dk/atira/pure/sustainabledevelopmentgoals/zero_hungerPrecision agriculturespectral imagerSDG 2 - Zero HungerImage resolutionRemote sensingProceedings of SPIE
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