Raman spectroscopic mapping for the analysis of solar radiation induced skin damage

Ali, Syed Mehmood; Bonnier, Franck; Ptasiński, K.J.; Lambkin, Helen; Flynn, Kathleen M.; Lyng, Fiona M.; Byrne, Hugh J.

doi:10.1039/c3an36617k

Cited by 36 publications

(50 citation statements)

References 72 publications

(122 reference statements)

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“…The number of studies related to serum proteomics, peptidomics or metabololics has literary exploded in the literature, complex analytical techniques such as chromatography and/or mass spectroscopy being the reference tools 10,11 . Quite naturally, vibrational spectroscopy, which has been widely employed in biomedical analysis, from tissue sections 12,13 to single cells 14,15 with a well demonstrated potential for diagnosis 16,17 , has the capability to become the next generation gold standard tool for serum based patient screening [18][19][20] . The advent of imaging technologies coupled to the rapid data collection offered by FTIR systems has contributed considerably to the attraction of infrared absorption spectroscopy for biomedical applications [21][22][23] .…”

Section: Introductionmentioning

confidence: 99%

Ultra-filtration of human serum for improved quantitative analysis of low molecular weight biomarkers using ATR-IR spectroscopy

Bonnier

Blasco

Wasselet

et al. 2017

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Section: Introductionmentioning

confidence: 99%

Ultra-filtration of human serum for improved quantitative analysis of low molecular weight biomarkers using ATR-IR spectroscopy

Bonnier

Blasco

Wasselet

et al. 2017

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“…For these reasons new methods are needed for a more reproducible, objective, accurate and potentially automatable morphological assessment of AML and MDS. Several advantages of using Raman spectroscopy for diagnosis have been already proven, including its chemical specificity that could potentially substitute traditional diagnostic methods based on the visual examination of histological specimens [7][8][9][10][11][12] (reviewed in ref. 13 ).…”

Section: Introductionmentioning

confidence: 99%

Label-free imaging and identification of typical cells of acute myeloid leukaemia and myelodysplastic syndrome by Raman microspectroscopy

Vanna

Ronchi

Lenferink

et al. 2015

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In clinical practice, the diagnosis and classification of acute myeloid leukaemia (AML) and myelodysplastic syndrome (MDS) start from the manual examination of stained smears of bone marrow (BM) and peripheral blood (PB) by using an optical microscope. This step is subjective and scarcely reproducible. Therefore, the development of subjective and potentially automatable methods for the recognition of typical AML/MDS cells is necessary. Here we have used Raman spectroscopy for distinguishing myeloblasts, promyelocytes, abnormal promyelocytes and erhytroblasts, which have to be counted for a correct diagnosis and morphological classification of AML and MDS. BM samples from patients affected by four different AML subtypes, mostly characterized by the presence of the four subpopulations selected for this study, were analyzed. First, each cell was scanned by acquiring 4096 spectra, thus obtaining Raman images which demonstrate an accurate description of morphological features characteristic of each subpopulation. Raman imaging coupled with hierarchical cluster analysis permitted the automatic discrimination and localization of the nucleus, the cytoplasm, myeloperoxidase containing granules and haemoglobin. Second, the averaged Raman fingerprint of each cell was analysed by multivariate analysis (principal component analysis and linear discriminant analysis) in order to study the typical vibrational features of each subpopulation and also for the automatic recognition of cells. The leave-one-out cross validation of a Raman-based classification model demonstrated the correct classification of myeloblasts, promyelocytes (normal/abnormal) and erhytroblasts with an accuracy of 100%. Normal and abnormal promyelocytes were distinguished with 95% accuracy. The overall classification accuracy considering the four subpopulations was 98%. This proof-of-concept study shows that Raman micro-spectroscopy could be a valid approach for developing label-free, objective and automatic methods for the morphological classification and counting of cells from AML/MDS patients, in substitution of the manual examination of BM and PB stained smears.

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“…In simulated mixtures of multiple components, the loadings can be seen to be weighted linear combinations of the spectra of the contributing spectra, as shown in Figure 7. As an example of the benefits of this approach, the dose dependent spectral changes induced by simulated solar radiation in the basal layer of a reconstructed skin model could be tracked according to the loading of the first principle component of the variation of the irradiated skin section compared to control [90]. Please do not adjust margins…”

Section: Principal Components Analysismentioning

confidence: 99%

Spectral pre and post processing for infrared and Raman spectroscopy of biological tissues and cells

et al. 2016

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Vibrational Spectroscopy, both infrared absorption and Raman spectroscopy, have attracted increasing attention for biomedical applications, from in vivo and ex vivo disease diagnostics and screening, to in vitro screening of therapeutics. There remain, however, many challenges related to the accuracy of analysis of physically and chemically inhomogeneous samples, across heterogeneous sample sets. Data preprocessing is required to deal with variations in instrumental responses and intrinsic spectral backgrounds and distortions in order to extract reliable spectral data. Data postprocessing is required to extract the most reliable information from the sample sets, based on often very subtle changes in spectra associated with the targeted pathology or biochemical process. This review presents the current understanding of the factors influencing the quality of spectra recorded and the pre-processing steps commonly employed to improve on spectral quality. It further explores some of the most common techniques which have emerged for classification and analysis of the spectral data for biomedical applications. The importance of sample presentation and measurement conditions to yield the highest quality spectra in the first place is emphasised, as is the potential of model simulated datasets to validate both pre-and post-processing protocols.

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Raman spectroscopic mapping for the analysis of solar radiation induced skin damage

Abstract: The effects of simulated solar irradiation of an artificial skin model have been examined using Raman spectroscopy and the results are compared with cytotoxicological and histological profiling. Samples exposed for times varying between 30 minutes and 240 minutes were

Cited by 36 publications

References 72 publications

Ultra-filtration of human serum for improved quantitative analysis of low molecular weight biomarkers using ATR-IR spectroscopy

Ultra-filtration of human serum for improved quantitative analysis of low molecular weight biomarkers using ATR-IR spectroscopy

Label-free imaging and identification of typical cells of acute myeloid leukaemia and myelodysplastic syndrome by Raman microspectroscopy

Spectral pre and post processing for infrared and Raman spectroscopy of biological tissues and cells

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