ArticleJournal of biophotonics2020
Soft-tissue spectral subtraction improves transcutaneous Raman estimates of murine bone strength in vivo.
Article in Journal of biophotonics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Predicting bone aging using spatially offset Raman spectroscopy: a longitudinal analysis on mice.Analytical and bioanalytical chemistry · 2025Article
- In Vivo Assessment of Bone Quality Without X-rays.Current osteoporosis reports · 2024Review
- Degradation of Bone Quality in a Transgenic Mouse Model of Alzheimer's Disease.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2022Article
- Compositional assessment of bone by Raman spectroscopy.The Analyst · 2021Review
- Determination of best Raman spectroscopy spatial offsets for transcutaneous bone quality assessments in human hands.Biomedical optics express · 2021Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Transcutaneous determination of a bone's Raman spectrum is challenging because the type I collagen in the overlying soft tissue is spectroscopically identical to that in bone. In a previous transcutaneous study of murine tibiae, we developed a library-based model called SOLD to unmix spatially offset Raman measurements into three spectra: a bone estimate, a soft tissue estimate, and a residual. Here, we demonstrate the value of combining the bone estimate and the residual to produce a "top layer subtracted" (tls) spectrum. We report superior prediction of two standard bone metrics (volumetric bone mineralization density and maximum torque) using partial least squares regression models based upon tls spectra rather than SOLD bone estimates, implying that the spectral residuals contain useful information. Simulations reinforce experimental in vivo findings. This chemometric approach, which we denote as SOLD/TLS, could have broad applicability in situations where comprehensive spectral libraries are difficult to acquire.
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Registered trials
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