Literature DB >> 19281644

Transcutaneous Raman spectroscopy of murine bone in vivo.

Matthew V Schulmerich1, Jacqueline H Cole, Jaclynn M Kreider, Francis Esmonde-White, Kathryn A Dooley, Steven A Goldstein, Michael D Morris.   

Abstract

Raman spectroscopy can provide valuable information about bone tissue composition in studies of bone development, biomechanics, and health. In order to study the Raman spectra of bone in vivo, instrumentation that enhances the recovery of subsurface spectra must be developed and validated. Five fiber-optic probe configurations were considered for transcutaneous bone Raman spectroscopy of small animals. Measurements were obtained from the tibia of sacrificed mice, and the bone Raman signal was recovered for each probe configuration. The configuration with the optimal combination of bone signal intensity, signal variance, and power distribution was then evaluated under in vivo conditions. Multiple in vivo transcutaneous measurements were obtained from the left tibia of 32 anesthetized mice. After collecting the transcutaneous Raman signal, exposed bone measurements were collected and used as a validation reference. Multivariate analysis was used to recover bone spectra from transcutaneous measurements. To assess the validity of the transcutaneous bone measurements cross-correlations were calculated between standardized spectra from the recovered bone signal and the exposed bone measurements. Additionally, the carbonate-to-phosphate height ratios of the recovered bone signals were compared to the reference exposed bone measurements. The mean cross-correlation coefficient between the recovered and exposed measurements was 0.96, and the carbonate-to-phosphate ratios did not differ significantly between the two sets of spectra (p > 0.05). During these first systematic in vivo Raman measurements, we discovered that probe alignment and animal coat color influenced the results and thus should be considered in future probe and study designs. Nevertheless, our noninvasive Raman spectroscopic probe accurately assessed bone tissue composition through the skin in live mice.

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Year:  2009        PMID: 19281644      PMCID: PMC2659467          DOI: 10.1366/000370209787599013

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


  24 in total

1.  Ultrastructural changes accompanying the mechanical deformation of bone tissue: a Raman imaging study.

Authors:  A Carden; R M Rajachar; M D Morris; D H Kohn
Journal:  Calcif Tissue Int       Date:  2002-12-10       Impact factor: 4.333

2.  Band-target entropy minimization. A robust algorithm for pure component spectral recovery. Application to complex randomized mixtures of six components.

Authors:  Effendi Widjaja; Chuanzhao Li; Wee Chew; Marc Garland
Journal:  Anal Chem       Date:  2003-09-01       Impact factor: 6.986

3.  Numerical simulations of subsurface probing in diffusely scattering media using spatially offset Raman spectroscopy.

Authors:  P Matousek; M D Morris; N Everall; I P Clark; M Towrie; E Draper; A Goodship; A W Parker
Journal:  Appl Spectrosc       Date:  2005-12       Impact factor: 2.388

4.  Automated autofluorescence background subtraction algorithm for biomedical Raman spectroscopy.

Authors:  Jianhua Zhao; Harvey Lui; David I McLean; Haishan Zeng
Journal:  Appl Spectrosc       Date:  2007-11       Impact factor: 2.388

Review 5.  Deep non-invasive Raman spectroscopy of living tissue and powders.

Authors:  Pavel Matousek
Journal:  Chem Soc Rev       Date:  2007-05-09       Impact factor: 54.564

6.  Subsurface and transcutaneous Raman spectroscopy and mapping using concentric illumination rings and collection with a circular fiber-optic array.

Authors:  Matthew V Schulmerich; Kathryn A Dooley; Thomas M Vanasse; Steven A Goldstein; Michael D Morris
Journal:  Appl Spectrosc       Date:  2007-07       Impact factor: 2.388

7.  Identifying chemical changes in subchondral bone taken from murine knee joints using Raman spectroscopy.

Authors:  Karen A Dehring; Nicole J Crane; Abigail R Smukler; Jonathan B McHugh; Blake J Roessler; Michael D Morris
Journal:  Appl Spectrosc       Date:  2006-10       Impact factor: 2.388

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

Authors:  P Matousek; I P Clark; E R C Draper; M D Morris; A E Goodship; N Everall; M Towrie; W F Finney; A W Parker
Journal:  Appl Spectrosc       Date:  2005-04       Impact factor: 2.388

9.  Brittle IV mouse model for osteogenesis imperfecta IV demonstrates postpubertal adaptations to improve whole bone strength.

Authors:  Kenneth M Kozloff; Angela Carden; Clemens Bergwitz; Antonella Forlino; Thomas E Uveges; Michael D Morris; Joan C Marini; Steven A Goldstein
Journal:  J Bone Miner Res       Date:  2004-01-12       Impact factor: 6.741

10.  Mineralization of developing mouse calvaria as revealed by Raman microspectroscopy.

Authors:  Catherine P Tarnowski; Michael A Ignelzi; Michael D Morris
Journal:  J Bone Miner Res       Date:  2002-06       Impact factor: 6.741

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  30 in total

1.  Development of non-invasive Raman spectroscopy for in vivo evaluation of bone graft osseointegration in a rat model.

Authors:  Paul I Okagbare; Francis W L Esmonde-White; Steven A Goldstein; Michael D Morris
Journal:  Analyst       Date:  2010-10-06       Impact factor: 4.616

Review 2.  Raman assessment of bone quality.

Authors:  Michael D Morris; Gurjit S Mandair
Journal:  Clin Orthop Relat Res       Date:  2011-08       Impact factor: 4.176

Review 3.  Methods for assessing bone quality: a review.

Authors:  Eve Donnelly
Journal:  Clin Orthop Relat Res       Date:  2011-08       Impact factor: 4.176

4.  Raman and mechanical properties correlate at whole bone- and tissue-levels in a genetic mouse model.

Authors:  Xiaohong Bi; Chetan A Patil; Conor C Lynch; George M Pharr; Anita Mahadevan-Jansen; Jeffry S Nyman
Journal:  J Biomech       Date:  2010-10-28       Impact factor: 2.712

5.  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

6.  High-sensitivity, real-time, ratiometric imaging of surface-enhanced Raman scattering nanoparticles with a clinically translatable Raman endoscope device.

Authors:  Ellis Garai; Steven Sensarn; Cristina L Zavaleta; Dominique Van de Sompel; Nathan O Loewke; Michael J Mandella; Sanjiv S Gambhir; Christopher H Contag
Journal:  J Biomed Opt       Date:  2013-09       Impact factor: 3.170

Review 7.  Contributions of Raman spectroscopy to the understanding of bone strength.

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

8.  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

Review 9.  Vibrational spectroscopic techniques to assess bone quality.

Authors:  E P Paschalis; S Gamsjaeger; K Klaushofer
Journal:  Osteoporos Int       Date:  2017-04-05       Impact factor: 4.507

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

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