Model-based biological Raman spectral imaging

Shafer‐Peltier, Karen; Haka, Abigail S.; Motz, Jason T.; Fitzmaurice, Maryann; Dasari, Ramachandra R.; Feld, Michael S.

doi:10.1002/jcb.10418

Cited by 80 publications

(71 citation statements)

References 27 publications

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“…The building blocks of our model are Raman active components extracted from skin in situ. Previous biophysical models used model components either measured directly from synthetic/purified chemicals [9,[15][16][17][18], or extracted from tissue sections in situ [19][20][21]. The advantage of using synthetic/purified chemicals as model components is that they can be easily measured without the need for Raman micro-imaging.…”

Section: Introductionmentioning

confidence: 99%

Raman active components of skin cancer

Feng¹,

Moy²,

Nguyen³

et al. 2017

Biomed. Opt. Express

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Raman spectroscopy (RS) has shown great potential in noninvasive cancer screening. Statistically based algorithms, such as principal component analysis, are commonly employed to provide tissue classification; however, they are difficult to relate to the chemical and morphological basis of the spectroscopic features and underlying disease. As a result, we propose the first Raman biophysical model applied to in vivo skin cancer screening data. We expand upon previous models by utilizing in situ skin constituents as the building blocks, and validate the model using previous clinical screening data collected from a Raman optical fiber probe. We built an 830nm confocal Raman microscope integrated with a confocal laser-scanning microscope. Raman imaging was performed on skin sections spanning various disease states, and multivariate curve resolution (MCR) analysis was used to resolve the Raman spectra of individual in situ skin constituents. The basis spectra of the most relevant skin constituents were combined linearly to fit in vivo human skin spectra. Our results suggest collagen, elastin, keratin, cell nucleus, triolein, ceramide, melanin and water are the most important model components. We make available for download (see supplemental information) a database of Raman spectra for these eight components for others to use as a reference. Our model reveals the biochemical and structural makeup of normal, nonmelanoma and melanoma skin cancers, and precancers and paves the way for future development of this approach to noninvasive skin cancer diagnosis.

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Section: Introductionmentioning

confidence: 99%

Raman active components of skin cancer

Feng¹,

Moy²,

Nguyen³

et al. 2017

Biomed. Opt. Express

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“…Spectra were subjected to curve fitting and intensities plots of resultant curve resolved bands were computed. This study has revealed that fat (1301 and [12][13][14][15][16][17][18][19][20] Among Raman spectroscopy methods, Raman microspectroscopy, which facilitates high spatial resolution up to 1 lm, is often used for in depth analysis of selected regions. On the other hand conventional or macro Raman spectroscopy is better suited for diagnostic applications, especially for in situ/in vivo conditions.…”

Section: Introductionmentioning

confidence: 99%

Biochemical correlation of Raman spectra of normal, benign and malignant breast tissues: A spectral deconvolution study

et al. 2009

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The aim of this study was to understand and correlate spectral features and biochemical changes in normal, fibroadenoma and infiltrating ductal carcinoma of breast tissues using Raman spectra that were part of the spectroscopic models developed and evaluated by us earlier. Spectra were subjected to curve fitting and intensities plots of resultant curve resolved bands were computed. This study has revealed that fat (1301 and 1440 cm−1), collagen (1246, 1271, and 1671 cm−1) and DNA (1340 and 1480 cm−1) bands have strong presence in normal, benign and malignant breast tissues, respectively. Intensity plots of various combinations of curved resolved bands were also explored to classify tissue types. Combinations of fat (1301 cm−1) and collagen (1246, 1271, and 1671 cm−1)/amide I; DNA (1340 cm−1) and fat (1301 cm−1); collagen (1271 cm−1) and DNA (1480 cm−1) are found to be good discriminating parameters. These results are in tune with findings of earlier studies carried out on western population as well as our molecular biological understanding of normal tissues and neoplastic processes. Thus the finding of this study further demonstrates the efficacy Raman spectroscopic approaches in diagnostic applications as well as in understanding molecular phenomenon in breast cancers. © 2009 Wiley Periodicals, Inc. Biopolymers 91: 539–546, 2009.This article was originally published online as an accepted preprint. The “Published Online”date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at biopolymers@wiley.com

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“…It has previously been reported that the magnitude and position of Raman peaks are sensitive to DNA nucleotide sequence and composition (17), and so the phosphate mode at 1096 cm 21 (PO 2 stretching) is the least dependent on the nucleotide sequence (33,34). Hence, we chose this mode for Raman spectral DNA quantification in cell nuclei.…”

Section: Resultsmentioning

confidence: 99%

“…Nuclear spectra appear different from pure DNA due to the contribution of proteins. The most pronounced protein contributions are the peaks of phenylalanine at 622, 1004 cm 21 (16,17).…”

Section: Methodsmentioning

confidence: 99%

“…These methods successfully resolve complicated Raman spectrum on linear combination of different contributions as they are known or provide similar contribution in different measurements (13,15,(21)(22)(23)(24)(25). Nevertheless, the accuracy of these methods significantly decreases in the cases when one of the components, such as DNA, provides different spectral contribution in different mixtures (15,26).…”

Section: Introductionmentioning

confidence: 99%

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Raman spectroscopy for DNA quantification in cell nucleus

et al. 2014

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Here we demonstrate the feasibility of a novel approach to quantify DNA in cell nuclei. This approach is based on spectroscopy analysis of Raman light scattering, and avoids the problem of nonstoichiometric binding of dyes to DNA, as it directly measures the signal from DNA. Quantitative analysis of nuclear DNA contribution to Raman spectrum could be reliably performed using intensity of a phosphate mode at 1096 cm 21. When compared to the known DNA standards from cells of different animals, our results matched those values at error of 10%. We therefore suggest that this approach will be useful to expand the list of DNA standards, to properly adjust the duration of hydrolysis in Feulgen staining, to assay the applicability of fuchsines for DNA quantification, as well as to measure DNA content in cells with complex hydrolysis patterns, when Feulgen densitometry is inappropriate. V C 2014 International Society for Advancement of Cytometry

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Model-based biological Raman spectral imaging

Cited by 80 publications

References 27 publications

Raman active components of skin cancer

Raman active components of skin cancer

Biochemical correlation of Raman spectra of normal, benign and malignant breast tissues: A spectral deconvolution study

Raman spectroscopy for DNA quantification in cell nucleus

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