Literature DB >> 15901323

Subsurface probing in diffusely scattering media using spatially offset Raman spectroscopy.

P Matousek1, I P Clark, E R C Draper, M D Morris, A E Goodship, N Everall, M Towrie, W F Finney, A W Parker.   

Abstract

We describe a simple methodology for the effective retrieval of Raman spectra of subsurface layers in diffusely scattering media. The technique is based on the collection of Raman scattered light from surface regions that are laterally offset away from the excitation laser spot on the sample. The Raman spectra obtained in this way exhibit a variation in relative spectral intensities of the surface and subsurface layers of the sample being investigated. The data set is processed using a multivariate data analysis to yield pure Raman spectra of the individual sample layers, providing a method for the effective elimination of surface Raman scatter. The methodology is applicable to the retrieval of pure Raman spectra from depths well in excess of those accessible with conventional confocal microscopy. In this first feasibility study we have differentiated between surface and subsurface Raman signals within a diffusely scattering sample composed of two layers: trans-stilbene powder beneath a 1 mm thick over-layer of PMMA (poly(methyl methacrylate)) powder. The improvement in contrast of the subsurface trans-stilbene layer without numerical processing was 19 times. The potential applications include biomedical subsurface probing of specific tissues through different overlying tissues such as assessment of bone quality through skin, providing an effective noninvasive means of screening for bone degeneration, other skeletal disease diagnosis, and dermatology studies, as well as materials and catalyst research.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15901323     DOI: 10.1366/0003702053641450

Source DB:  PubMed          Journal:  Appl Spectrosc        ISSN: 0003-7028            Impact factor:   2.388


  63 in total

1.  In vivo, transcutaneous glucose sensing using surface-enhanced spatially offset Raman spectroscopy: multiple rats, improved hypoglycemic accuracy, low incident power, and continuous monitoring for greater than 17 days.

Authors:  Ke Ma; Jonathan M Yuen; Nilam C Shah; Joseph T Walsh; Matthew R Glucksberg; Richard P Van Duyne
Journal:  Anal Chem       Date:  2011-11-02       Impact factor: 6.986

2.  Raman signal enhancement via elastic light scattering.

Authors:  Brett H Hokr; Vladislav V Yakovlev
Journal:  Opt Express       Date:  2013-05-20       Impact factor: 3.894

3.  Polarization control of Raman spectroscopy optimizes the assessment of bone tissue.

Authors:  Alexander J Makowski; Chetan A Patil; Anita Mahadevan-Jansen; Jeffry S Nyman
Journal:  J Biomed Opt       Date:  2013-05       Impact factor: 3.170

Review 4.  Emerging non-invasive Raman methods in process control and forensic applications.

Authors:  Neil A Macleod; Pavel Matousek
Journal:  Pharm Res       Date:  2008-04-16       Impact factor: 4.200

5.  Sensitivity of coded aperture Raman spectroscopy to analytes beneath turbid biological tissue and tissue-simulating phantoms.

Authors:  Jason R Maher; Thomas E Matthews; Ashley K Reid; David F Katz; Adam Wax
Journal:  J Biomed Opt       Date:  2014       Impact factor: 3.170

Review 6.  Contributions of Raman spectroscopy to the understanding of bone strength.

Authors:  Gurjit S Mandair; Michael D Morris
Journal:  Bonekey Rep       Date:  2015-01-07

7.  Next-generation Raman tomography instrument for non-invasive in vivo bone imaging.

Authors:  Jennifer-Lynn H Demers; Francis W L Esmonde-White; Karen A Esmonde-White; Michael D Morris; Brian W Pogue
Journal:  Biomed Opt Express       Date:  2015-02-11       Impact factor: 3.732

8.  Determination of thickness of thin turbid painted over-layers using micro-scale spatially offset Raman spectroscopy.

Authors:  Claudia Conti; Marco Realini; Chiara Colombo; Alessandra Botteon; Moira Bertasa; Jana Striova; Marco Barucci; Pavel Matousek
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-12-13       Impact factor: 4.226

9.  Non-invasive analysis of stored red blood cells using diffuse resonance Raman spectroscopy.

Authors:  Rekha Gautam; Joo-Yeun Oh; Rakesh P Patel; Richard A Dluhy
Journal:  Analyst       Date:  2018-12-03       Impact factor: 4.616

10.  Development of Raman spectral markers to assess metastatic bone in breast cancer.

Authors:  Hao Ding; Jeffry S Nyman; Julie A Sterling; Daniel S Perrien; Anita Mahadevan-Jansen; Xiaohong Bi
Journal:  J Biomed Opt       Date:  2014       Impact factor: 3.170

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.