Open Access
1 July 2013 Overconstrained library-based fitting method reveals age- and disease-related differences in transcutaneous Raman spectra of murine bones
Jason R. Maher, Jason A. Inzana, Hani A. Awad, Andrew J. Berger
Author Affiliations +
Abstract
Clinical diagnoses of bone health and fracture risk typically rely on measurements of bone density or structure, but the strength of a bone is also dependent on its chemical composition. Raman spectroscopy has been used extensively in ex vivo studies to measure the chemical composition of bone. Recently, spatially offset Raman spectroscopy (SORS) has been utilized to measure bone transcutaneously. Although the results are promising, further advancements are necessary to make noninvasive, in vivo measurements of bone with SORS that are of sufficient quality to generate accurate predictions of fracture risk. In order to separate the signals from bone and soft tissue that contribute to a transcutaneous measurement, we developed an overconstrained extraction algorithm that is based on fitting with spectral libraries. This approach allows for accurate spectral unmixing despite the fact that similar chemical components (e.g., type I collagen) are present in both bone and soft tissue. The algorithm was utilized to transcutaneously detect biochemical differences in the tibiae of wild-type mice between 1 and 7 months of age and between the tibiae of wild-type mice and a mouse model of osteogenesis imperfecta. These results represent the first diagnostically sensitive, transcutaneous measurements of bone using SORS.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Jason R. Maher, Jason A. Inzana, Hani A. Awad, and Andrew J. Berger "Overconstrained library-based fitting method reveals age- and disease-related differences in transcutaneous Raman spectra of murine bones," Journal of Biomedical Optics 18(7), 077001 (1 July 2013). https://doi.org/10.1117/1.JBO.18.7.077001
Published: 1 July 2013
Lens.org Logo
CITATIONS
Cited by 31 scholarly publications and 2 patents.
Advertisement
Advertisement
KEYWORDS
Bone

Raman spectroscopy

Tissues

Data acquisition

Chemical analysis

Collagen

Minerals


CHORUS Article. This article was made freely available starting 01 July 2014

Back to Top