Results 41 to 50 of about 1,611,472 (269)

Pipeline for the removal of hardware related artifacts and background noise for Raman spectroscopy

open access: yesMethodsX, 2020
Raman spectroscopy is a real-time, non-contact, and non-destructive technique able to obtain information about the composition of materials, chemicals, and mixtures. It uses the energy transfer properties of molecules to detect the composition of matter.
Christian J.F. Bertens   +7 more
doaj   +1 more source

In vivo confocal Raman spectroscopy for intrinsic aging and photoaging assessment [PDF]

open access: yesJournal of Dermatological Science, 2017
In vivo confocal Raman spectroscopy is a non-invasive method to assess either the epidermis or the dermis composition. Few studies have focused on dermis collagen alterations through intrinsic aging and photoaging.This study evaluated the in vivo Raman spectra from the dermis of a photoexposed site versus a non-photoexposed region in different age ...
de Vasconcelos Nasser Caetano, Livia   +6 more
openaire   +3 more sources

Quantitative analysis of microbicide concentrations in fluids, gels and tissues using confocal Raman spectroscopy. [PDF]

open access: yesPLoS ONE, 2013
Topical vaginal anti-HIV microbicides are an important focus in female-based strategies to prevent the sexual transmission of HIV. Understanding microbicide pharmacokinetics is essential to development, characterization and implementation of efficacious ...
Oranat Chuchuen   +5 more
doaj   +1 more source

Detection and imaging of lipids of Scenedesmus obliquus based on confocal Raman microspectroscopy

open access: yesBiotechnology for Biofuels, 2017
In this study, confocal Raman microspectroscopy was used to detect lipids in microalgae rapidly and non-destructively. Microalgae cells were cultured under nitrogen deficiency.
Yongni Shao   +5 more
doaj   +1 more source

DETERMINATION OF COPPER, ZINC, CADMIUM AND LEAD IN WATER USING CO-PRECIPITATION METHOD AND RAMAN SPECTROSCOPY [PDF]

open access: yesJournal of Innovative Optical Health Sciences, 2013
Mn co-precipitation method combined with Raman spectroscopy were used to determine trace heavy metals (copper, zinc, cadmium and lead) in water sample.
YANDE LIU   +4 more
doaj   +1 more source

Discriminant Analysis of Raman Spectra for Body Fluid Identification for Forensic Purposes

open access: yesSensors, 2010
Detection and identification of blood, semen and saliva stains, the most common body fluids encountered at a crime scene, are very important aspects of forensic science today.
Vitali Sikirzhytski   +2 more
doaj   +1 more source

Contrasting confocal with defocusing microscale spatially offset Raman spectroscopy [PDF]

open access: yesJournal of Raman Spectroscopy, 2015
The study compares and contrasts conventional confocal Raman microscopy/spectroscopy (CRM) with a recently developed micrometer scale defocusing spatially offset Raman spectroscopy (micro‐SORS), a method providing a new analytical capability for investigating non‐destructively the chemical composition of subsurface, micrometer‐scale‐thick diffusely ...
C Conti   +4 more
openaire   +4 more sources

Confocal Raman microspectroscopy for spatially resolved tissue characterisation of disease‐linked spectra‐pathological signatures

open access: yesClinical and Translational Medicine
Raman spectroscopy is a versatile analytical technique for highly specific molecular characterisation of cells, biofluids and tissues. Confocal Raman microspectroscopy combines optical microscopy with Raman spectroscopy to spatially resolve biochemical ...
Nektarios A. Valous   +2 more
doaj   +1 more source

Quantitative visualization of photosynthetic pigments in tea leaves based on Raman spectroscopy and calibration model transfer

open access: yesPlant Methods, 2021
Background Photosynthetic pigments participating in the absorption, transformation and transfer of light energy play a very important role in plant growth.
Jianjun Zeng   +11 more
doaj   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

open access: yesAdvanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle   +5 more
wiley   +1 more source

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