Preliminary micro-Raman images of normal and malignant human skin cells

Short, Michael; Lui, Harvey; McLean, David I.; Zeng, Haishan; Chen, Michael X.

doi:10.1117/12.647289

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…This study combined LDA with a routine to optimally select wave-number regions for classification. Recently it was demonstrated that micro-Raman imaging is also well suitable to distinguish between normal and malignant skin cells at a subcellular level [104]. The Raman scattering was excited at 633 and 515 nm.…”

Section: Skin Tumorsmentioning

confidence: 99%

Disease recognition by infrared and Raman spectroscopy

Krafft¹,

Steiner²,

Beleites³

et al. 2009

Journal of Biophotonics

262

175

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Infrared (IR) and Raman spectroscopy are emerging biophotonic tools to recognize various diseases. The current review gives an overview of the experimental techniques, data-classification algorithms and applications to assess soft tissues, hard tissues and body fluids. The methodology section presents the principles to combine vibrational spectroscopy with microscopy, lateral information and fiber-optic probes. A crucial step is the classification of spectral data by a variety of algorithms. We discuss unsupervised algorithms such as cluster analysis or principal component analysis and supervised algorithms such as linear discriminant analysis, soft independent modeling of class analogies, artificial neural networks support vector machines, Bayesian classification, partial least-squares regression and ensemble methods. The selected topics include tumors of epithelial tissue, brain tumors, prion diseases, bone diseases, atherosclerosis, kidney stones and gallstones, skin tumors, diabetes and osteoarthritis.

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Section: Skin Tumorsmentioning

confidence: 99%

Disease recognition by infrared and Raman spectroscopy

Krafft¹,

Steiner²,

Beleites³

et al. 2009

Journal of Biophotonics

262

175

View full text Add to dashboard Cite

show abstract

“…Based on logistic regression modeling, a sensitivity of 100% and specificity of 93% were achieved for BCC. Micro-Raman spectroscopy has been used to visualize the distribution of protein in normal human skin melanocyte cells [74], whereas stimulated Raman scattering (SRS) microscopy used the CH 2 band at 2845 cm À1 to visualize the lipid-rich domains in mouse skin tissue sections [75].…”

Section: Basal Cell Carcinomamentioning

confidence: 99%

Biomedical Applications of Raman Imaging

Morris

Mandair

2010

Raman, Infrared, and Near‐Infrared Chemical Imaging

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R aman Spectroscopy in Medicine

Krafft

Rösch

Popp

2009

Digital Encyclopedia of Applied Physics

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Raman spectroscopy is an emerging tool in medicine to study tissues and body fluids. This contribution gives an overview of experimental techniques and selected applications. The methodological section presents Raman spectra of biomolecules, the near‐infrared advantage, combination with microscopy, Raman imaging, fiber‐optic probes, and signal enhancement principles. Pathological applications of Raman spectroscopy were reported in the context of oncology, for mineralized tissue such as bone, teeth, and calculi in organs, for blood vessels, for skin, and for the visual system. Raman spectroscopy in clinical chemistry was applied to determine glucose in diabetic patients; to analyze serum, hair and nails; and to investigate malaria.

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Preliminary micro-Raman images of normal and malignant human skin cells

Cited by 4 publications

References 17 publications

Disease recognition by infrared and Raman spectroscopy

Disease recognition by infrared and Raman spectroscopy

Biomedical Applications of Raman Imaging

R aman Spectroscopy in Medicine

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