Discriminating Basal Cell Carcinoma from its Surrounding Tissue by Raman Spectroscopy

Nijssen, Annieke; Schut, Tom C. Bakker; Heule, Freerk; Caspers, Peter; Hayes, D P; Neumann, Martino; Puppels, Gerwin J.

doi:10.1046/j.1523-1747.2002.01807.x

Cited by 303 publications

(53 citation statements)

References 36 publications

(31 reference statements)

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“…The distinct presence of peaks at 884, 1062, and 1157 cm −1 , and the sharp line-shape of the peak at 1297 cm −1 , are characteristic of the type of fatty acids that make up the sebum and are consistent with previously reported CRS measurements of sebaceous glands [16]. The mean spectrum collected from the adjacent skin,, does not show features characteristic of sebum or fatty acids, and instead contains spectral features more characteristic of cellular proteins, based on the relative intensity of spectral bands at 936 cm −1 and 1339 cm −1 [17]. This example illustrates the benefit of a dual-modal approach that utilizes image guidance and targeting to improve the spatial specificity of CRS.…”

Section: Discussionsupporting

confidence: 88%

A handheld laser scanning confocal reflectance imaging–confocal Raman microspectroscopy system

Patil¹,

Arrasmith²,

Mackanos³

et al. 2012

Biomed. Opt. Express

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Confocal reflectance microscopy and confocal Raman spectroscopy have shown potential for non-destructive analysis of samples at micron-scale resolutions. Current studies utilizing these techniques often employ large bench-top microscopes, and are not suited for use outside of laboratory settings. We have developed a microscope which combines laser scanning confocal reflectance imaging and confocal Raman spectroscopy into a compact handheld probe that is capable of high-resolution imaging and spectroscopy in a variety of settings. The compact size of the probe is largely due to the use of a MEMS mirror for beam scanning. The probe is capable of axial resolutions of up to 4 μm for the confocal imaging channel and 10 μm for the confocal Raman spectroscopy channel. Here, we report instrument design, characterize optical performance, and provide images and spectra from normal skin to demonstrate the instrument’s capabilities for clinical diagnostics.

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Section: Discussionsupporting

confidence: 88%

A handheld laser scanning confocal reflectance imaging–confocal Raman microspectroscopy system

Patil¹,

Arrasmith²,

Mackanos³

et al. 2012

Biomed. Opt. Express

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Section: Introductionmentioning

confidence: 99%

“…Collagen accounts for 70% of dermis [32], while hyaluronic acid forms a smaller part of the dermis. The amount of hyaluronic acid is about 0.1 to 0.2 microgram/milligram dry weight of the dermis [32]. Collagen is cationic but hyaluronan is anionic, and hence the two macromolecules may form polyionic complexes in aqueous solution [33].…”

Section: Introductionmentioning

confidence: 99%

Collagen and hyaluronan at wound sites influence early polymicrobial biofilm adhesive events

2014

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BackgroundWounds can easily become chronically infected, leading to secondary health complications, which occur more frequently in individuals with diabetes, compromised immune systems, and those that have suffered severe burns. When wounds become chronically infected, biofilm producing microbes are often isolated from these sites. The presence of a biofilm at a wound site has significant negative impact on the treatment outcomes, as biofilms are characteristically recalcitrant to removal, in part due to the formation of a protective matrix that shield residents organisms from inimical forces. Pseudomonas aeruginosa and methicillin-resistant Staphylococcus aureus (MRSA) are two of the organisms most prevalently isolated from wound sites, and are of particular concern due to their elevated levels of antibiotic resistance, rapid growth, and exotoxin production. In order to understand the biofilm forming abilities of these microbes in a simulated wound environment we used a microtiter plate assay to assess the ability of these two organisms to bind to proteins that are typically found at wound sites: collagen and hyaluronan.ResultsCollagen and hyaluronan were used to coat the wells of 96-well plates in collagen:hyaluronan ratios of 0:1, 3:1, 1:1, 1:3, and 1:0 . P. aeruginosa and MRSA were inoculated as mono- and co-cultures (1:1 and a 3:1 MRSA: P. aeruginosa). We determined that coating the wells with collagen and/or hyaluronan significantly increased the biofilm biomass of attached cells compared to an uncoated control, although no one coating formulation showed a significant increase compared to any other combination. We also noted that the fold-change increase for MRSA upon coating was greater than for P. aeruginosa.ConclusionsOur study suggests that the presence of collagen and/or hyaluronan at wound sites may be an important factor that influences the attachment and subsequent biofilm formation of notorious biofilm-formers, such as MRSA and P. aeruginosa. Understanding the kinetics of binding may aid in our comprehension of recalcitrant wound infection development, better enabling our ability to design therapies that would prevent or mitigate the negative outcomes associated with such infections.

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“…When implemented as a microscopy tool, Raman spectroscopy enables label-free, noninvasive analytical imaging of cells with single-cell sensitivity and resolution. In recent years, many groups, including ours, have reported the biological/biomedical applications of Raman scattering microscopy in cancer diagnosis12, cytochrome dynamics in apoptosis3, discrimination of normal and abnormal human sperm4, and in discrimination of cellular state upon differentiation5678. Thus, Raman scattering microscopy has been revealed as an optional analytical tool in life sciences9.…”

mentioning

confidence: 99%

Non-label immune cell state prediction using Raman spectroscopy

Ichimura¹,

Chiu

Fujita

et al. 2016

Sci Rep

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The acquired immune system, mainly composed of T and B lymphocytes, plays a key role in protecting the host from infection. It is important and technically challenging to identify cell types and their activation status in living and intact immune cells, without staining or killing the cells. Using Raman spectroscopy, we succeeded in discriminating between living T cells and B cells, and visualized the activation status of living T cells without labeling. Although the Raman spectra of T cells and B cells were similar, they could be distinguished by discriminant analysis of the principal components. Raman spectra of activated T cells with anti-CD3 and anti-CD28 antibodies largely differed compared to that of naïve T cells, enabling the prediction of T cell activation status at a single cell level. Our analysis revealed that the spectra of individual T cells gradually change from the pattern of naïve T cells to that of activated T cells during the first 24 h of activation, indicating that changes in Raman spectra reflect slow changes rather than rapid changes in cell state during activation. Our results indicate that the Raman spectrum enables the detection of dynamic changes in individual cell state scattered in a heterogeneous population.

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Discriminating Basal Cell Carcinoma from its Surrounding Tissue by Raman Spectroscopy

Cited by 303 publications

References 36 publications

A handheld laser scanning confocal reflectance imaging–confocal Raman microspectroscopy system

A handheld laser scanning confocal reflectance imaging–confocal Raman microspectroscopy system

Collagen and hyaluronan at wound sites influence early polymicrobial biofilm adhesive events

Non-label immune cell state prediction using Raman spectroscopy

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