Imperial College London
Alternate

Professor Molly Stevens

Faculty of Engineering, Department of Materials

Professor of Biomedical Materials and Regenerative Medicine
 
 
 
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Contact

 

+44 (0)20 7594 6804m.stevens

 
 
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Location

 

208Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Hedegaard:2016:10.1002/jbio.201500238,
author = {Hedegaard, MAB and Bergholt, MS and Stevens, MM},
doi = {10.1002/jbio.201500238},
journal = {Journal of Biophotonics},
pages = {542--550},
title = {Quantitative multi-image analysis for biomedical Raman spectroscopic imaging},
url = {http://dx.doi.org/10.1002/jbio.201500238},
volume = {9},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Imaging by Raman spectroscopy enables unparalleled label-free insights into cell and tissue composition at the molecular level. With established approaches limited to single image analysis, there are currently no general guidelines or consensus on how to quantify biochemical components across multiple Raman images. Here, we describe a broadly applicable methodology for the combination of multiple Raman images into a single image for analysis. This is achieved by removing image specific background interference, unfolding the series of Raman images into a single dataset, and normalisation of each Raman spectrum to render comparable Raman images. Multivariate image analysis is finally applied to derive the contributing ‘pure’ biochemical spectra for relative quantification. We present our methodology using four independently measured Raman images of control cells and four images of cells treated with strontium ions from substituted bioactive glass. We show that the relative biochemical distribution per area of the cells can be quantified. In addition, using k-means clustering, we are able to discriminate between the two cell types over multiple Raman images. This study shows a streamlined quantitative multi-image analysis tool for improving cell/tissue characterisation and opens new avenues in biomedical Raman spectroscopic imaging.
AU  - Hedegaard,MAB
AU  - Bergholt,MS
AU  - Stevens,MM
DO  - 10.1002/jbio.201500238
EP  - 550
PY  - 2016///
SN  - 1864-0648
SP  - 542
TI  - Quantitative multi-image analysis for biomedical Raman spectroscopic imaging
T2  - Journal of Biophotonics
UR  - http://dx.doi.org/10.1002/jbio.201500238
UR  - http://hdl.handle.net/10044/1/33691
VL  - 9
ER  -
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