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The objective of our research was to investigate the heat-protecting effect of a product ex vivo and in vivo on human hair fibres.A preparatory study was carried out in order to determine an optimal threshold of thermal stress. For this, the structure of cross-sections of the hair fibre was observed by optical microscopy. Then, Scanning Electron Microscopy (SEM) and Confocal Raman Spectroscopy (CRS) were applied to analyse ex vivo and in vivo morphological and molecular damage in hair structure after heat stress. Finally, in vivo tests were used to collect consumer perception.The preparatory study enabled us to determine an optimal stress threshold of 10 heating cycle for SEM and 5 heating cycle for CRS. Based on spectral hierarchical classification using Ward's clustering algorithm, the ex vivo Raman results show that the spectral signature of the hair treated and heated is very close to the negative control. This shows that the product preserves the keratin structure after thermal stress. These results were also confirmed by an in vivo Raman analysis performed on hair samples from 5 donors. In concordance with Raman results, SEM shows that treated hair presents lesser "bubbles" and "crackling" on the hair surface. Finally, the in vivo studies proved that hair was more protected from heat.The authors concluded that the product shows protective properties with respect to morphological and molecular heat damage. We also demonstrate that the product promotes the α-helix keratin conformation and preserves the S-S disulfide bands.L'objectif de notre étude est d'évaluer ex vivo et in vivo l'effet thermoprotecteur d'un produit sur les fibres capillaires humaines. MÉTHODES: Une étude préparatoire a été réalisée afin de déterminer un seuil optimal du stress thermique. Pour cela, la structure des coupes transversales des cheveux a été observée par microscopie optique. Ensuite, la microscopie électronique à balayage (MEB) et la spectroscopie confocale Raman (SCR) ont été appliquées pour analyser les dommages morphologiques et moléculaires (ex vivo et in vivo) de la structure du cheveu après un stress thermique. Enfin, des tests in vivo ont été réalisés pour recueillir la perception des consommateurs. RÉSULTATS: L'étude préparatoire nous a permis de déterminer un seuil de stress thermique optimal correspondant à 10 cycles de chauffage pour la MEB et 5 cycles de chauffage pour la SCR. Basés sur une classification hiérarchique utilisant l’algorithme de Ward, les résultats Raman « ex vivo » montrent que la signature spectrale des cheveux traités et chauffés est très proche du témoin négatif. Cela montre que le produit préserve la structure de la kératine après un stress thermique. Ces résultats ont également été confirmés par une analyse Raman « in vivo » réalisée sur des échantillons de cheveux de 5 donneurs. En concordance avec les résultats Raman, la MEB montre que les cheveux traités présentent moins de « bulles » et de « craquelures » à la surface des cheveux. Enfin, l’étude in vivo a prouvé que les cheveux sont mieux protégés de la chaleur.Les auteurs ont conclu que le produit présente des propriétés protectrices vis-à-vis des dommages thermiques morphologiques et moléculaires. Nous avons démontré également que le produit favorise la conformation de la kératine en hélice-α et préserve les bandes disulfures S-S.

Introduction: Skin aging is the result of many cellular dysfunctions over time particularly the fibroblasts and the keratinocytes. These dysfunctions could be decelerated by the preventive effects of some skin treatments such as Intradermal injections. NCTF 135HA has a polycomponent formulation designed to improve the efficacy of non-cross linked hyaluronic acid (as a micro-filler) on fibroblasts function. Although NCTF 135HA has been used by aesthetic practitioners since 20 years, we have analyzed all in vitro, ex vivo and in vivo studies during past 10 years in order to summarized its anti-aging effect. Methods: In these series of studies, the known effects of HA have been evaluated with this boosted formula. Collagen I synthesis, antiglycation effect and contractile forces developed by fibroblasts were studied. Fibroblasts and keratinocytes proliferations were evaluated in monolayer cells culture. The filling effect thanks to NCTF 135HA injection was ex vivo performed by fringe projection and the protective effect of NCTF 135HA against solar irradiation was performed ex vivo to study proliferation rate, elastin and collagen expression. Two clinical trials were performed on women to evaluate the anti-aging effect of NCTF 135HA injection. Hydration, firmness, radiance, wrinkles size, pore size, thickness and density of the dermis were analyzed. Results: Collagen I, anti-AGE products, cell proliferation and contractile forces were significantly increased with NCTF 135HA in culture medium. Ex vivo studies showed that NCTF 135HA increased, cells proliferation rate, elastin and collagen production. In addition, the filling effect of the NCTF 135HA is significantly superior to placebo. The first clinical trial shows that NCTF 135HA injection significantly increased tonicity, hydration and radiance of the skin and significantly decreased wrinkle score. The second clinical trial demonstrated that NCTF 135HA injection significantly increased dermis density and thickness, skin homogeneity and skin radiance and significantly decreased pore size and wrinkle depth and volume. Conclusion: In vitro, ex vivo and in vivo studies showed that this minimally invasive technique could be used in order to improve the skin quality which could have a visual effect on preventing the aging signs.

Correction for ‘Confocal Raman microspectroscopy for skin characterization: a comparative study between human skin and pig skin’ by Sana Tfaili et al., Analyst, 2012, 137, 3673–3682, DOI: 10.1039/C2AN16292J.

Objective In hair care cosmetic products’ evaluation, one commonly used method is to evaluate the hair appearance as a gold standard in order to determine the effect of an active ingredient on the final state of the hair via visual appreciation. Although other techniques have been proposed for a direct analysis of the hair fibres, they give only surface or structural information, without any accurate molecular information. A different approach based on confocal Raman spectroscopy has been proposed for tracking in situ the molecular change in the keratin directly in the human hair fibres. It presents a high molecular specificity to detect chemical interactions between molecules and can provide molecular information at various depths at the cortex and cuticle levels. Methods To evaluate the potential of confocal Raman spectroscopy in testing the efficiency of cosmetic ingredients on keratin structure, we undertook a pilot study on the effectiveness of a smoothing shampoo on natural human hair, by analysing α‐helix and β‐sheet spectral markers in the Amide I band and spectral markers specific to the cystin sulfur content. Results We confirmed that an active proved to be effective on a gold standard decreases α‐helix keratin conformation and promotes β‐sheet keratin conformation in the hair fibres. We also showed that treatment with the effective active decreases the intensity of covalent disulfide (S–S at 510 cm‐1) cross‐linking bands of cysteine. These data confirm that the effective active also acts on the tertiary structure of keratin. Conclusion From these experiments, we concluded that the effective active has a smoothing effect on the human hair fibres by acting on α‐helix and β‐sheet keratin conformation and on the tertiary structure of keratin. Based on these results, confocal Raman spectroscopy can be considered a powerful technique for investigating the influence of hair cosmetic ingredients on keratin structure in human hair fibres. Moreover, this analytical technique has the advantage of being non‐destructive and label free; in addition, it does not require sample extraction or purification and it can be applied routinely in cosmetic laboratories., Confocal Raman spectroscopy can be considered as a powerful technique for investigating the influence of hair cosmetic ingredients on keratin structure in human hair fibres.

Parmi les cancers de la peau, les deux types de carcinomes cutanes (basocellulaires et spinocellulaires) sont difficilement distinguables lors de l’examen clinique. Or, il est crucial de les differencier car les seconds necessitent un traitement et une surveillance specifiques. Pour reduire au minimum l’intervention humaine, forcement subjective, la micro-imagerie infrarouge presente un potentiel certain lors du diagnostic… a condition de savoir traiter les images des tissus inclus en paraffine qui ont ete preleves. Ce defi a ete releve et est en passe de devenir la prochaine methode de diagnostic totalement objective et predictive.

International audience; This paper presents a procedure that digitally neutralizes the contribution of paraffin to FTIR hyperspectral images. A brief mathematical derivation of the procedure is demonstrated and applied on one normal human colon sample to exemplify the de-waxing procedure. The proposed method includes construction of a paraffin model based on PCA, EMSC normalization and application of two techniques for spectral quality control. We discuss every step in which the researcher needs to take a subjective decision during the de-waxing procedure, and we explain how to make an adequate choice of parameters involved. Application of this procedure to 71 hyperspectral images collected from 55 human colon biopsies (20 normal, 17 ulcerative colitis, and 18 adenocarcinoma) showed that paraffin was appropriately neutralized, which made the de-waxed images adequate for analysis by pattern-recognition techniques such as k-means clustering or PCA-LDA.

Assessment of liver fibrosis is of paramount importance to guide the therapeutic strategy in patients with chronic hepatitis C (CHC). In this pilot study, we investigated the potential of serum Fourier transform infrared (FTIR) spectroscopy for differentiating CHC patients with extensive hepatic fibrosis from those without fibrosis. Twenty-three serum samples from CHC patients were selected according to the degree of hepatic fibrosis as evaluated by the FibroTest: 12 from patients with no hepatic fibrosis (F0) and 11 from patients with extensive fibrosis (F3-F4). The FTIR spectra (ten per sample) were acquired in the transmission mode and data homogeneity was tested by cluster analysis to exclude outliers. After selection of the most discriminant wavelengths using an ANOVA-based algorithm, the support vector machine (SVM) method was used as a supervised classification model to classify the spectra into two classes of hepatic fibrosis, F0 and F3-F4. Given the small number of samples, a leave-one-out cross-validation algorithm was used. When SVM was applied to all spectra (n = 230), the sensitivity and specificity of the classifier were 90.1% and 100%, respectively. When SVM was applied to the subset of 219 spectra, i.e., excluding the outliers, the sensitivity and specificity of the classifier were 95.2% and 100%, respectively. This pilot study strongly suggests that the serum from CHC patients exhibits infrared spectral characteristics, allowing patients with extensive fibrosis to be differentiated from those with no hepatic fibrosis.

The potential of Raman spectroscopy for ex vivo and in vivo classification of normal and glioblastoma brain tumor development was investigated. High-quality spectra of normal and tumor tissues were obtained using a portable Raman spectrometer coupled to a microprobe with a signal integration time of 5 s. Ex vivo results demonstrated that by using the biochemical information contained in the spectra, we were able to distinguish between normal brain features (white and gray matter), invasion, and tumor tissues with a classification accuracy of 100%. Differences between these features resulted from variations in their lipid signal contributions, which probably reflect differences in the level of myelinization. This finding supports the ability of in vivo Raman spectroscopy to delineate tumor margins during surgery. After implanting C6 cells in rat brain, we monitored, in vivo, the development of glioblastoma tumor from days 0 to 20 post-implantation (PI). The classification exhibited a clear separation of the data into two clusters: one cluster was associated with normal brain tissues (cortex), and the second was related to data measured from tumor evolution. The second cluster could be divided into two subclusters, one associated with tumor tissue from 4 to 13 days PI and the second related to tumor tissue from 15 to 20 days PI. Histological analysis reveals that the differences between these two subclusters are: the presence of a massive infiltration zone in the brain tissue from 4 to 13 days PI, and; a maturation of the tumor characterized by the appearance of edematous and necrotic zones, as well as a diminution in the proliferative and invasive area, from 15 days. This work demonstrates the potential of Raman spectroscopy to provide diagnostic information for the early detection of tumors in vivo.

International audience; The influence of Erythromycin, Roxithromycin, Amoxicillin, Tetracycline and Sulfamethoxazole on municipal sludge in batch reactors was investigated. The study was focused on extracellular polymeric substances (EPS) as indicator of bacteria sensitivity to toxic agents. The EPS were analysed by UV-Vis and FT-IR spectroscopies and by size exclusion chromatography. It was found that Erythromycin and Roxithromycin induced a significant increase of bound EPS in flocs. This was attributed to a protection mechanism of the bacteria. Erythromycin was the only antibiotic which inhibited COD and nitrogen removal.

Over the last few years, FTIR spectroscopy has become a potential analytical method in tissue and cell studies for cancer diagnosis. This has opened a way towards clinical applications such as a tool that would scan samples to assess the presence or absence of malignant cells in biopsies, or as an aid to help pathologists to better characterise those cells that are suspicious but not diagnostic for cancer. The latter application has the problem that in order to assess these cells pathologists would have already dealt with stained samples. Therefore, it is important to understand how staining would affect the spectra of cells. To this purpose, we have conducted this study in order to clarify, first, how haematoxylin and eosin (H&E) and Papanicolau (Pap) stainings affect the spectra of single cells and, second, whether FTIR spectroscopy could differentiate between stained lung cancer cells and their normal counterparts. Furthermore, different cell preparations (cytospin, and smear) used in cytological diagnosis were assessed. Experiments performed using a bright infrared (IR) source (synchrotron) showed that both H&E and Pap staining induced marked changes in the lipid and amide-II band regions. Despite this, FTIR spectroscopy of already stained cells is capable of differentiating between lung cancer cells and their normal counterparts. The clinical applications of this methodology are discussed.

Basal cell carcinoma (BCC) can sometimes lead, through a possible invasion of the dermis and the subcutaneous tissue, to serious local damage to the patient. Several histological types of BCC are reported, among them, the superficial, nodular and infiltrative forms. This study reports the use of polarized Raman microspectroscopy on the nodular and superficial types to discriminate between healthy epidermis and tumor, and between normal and peritumoral stroma. This technique probes additional information than conventional Raman spectroscopy because it is sensitive to the molecular ordering of tissue components. Depolarization ratios and hierarchical cluster analysis demonstrate that polarized Raman microspectroscopy can better identify the tumor and the peritumoral dermis than conventional Raman microspectroscopy, and hence gives potential complementary data about their molecular characteristics (molecular composition, secondary structure of proteins, intra- and/or inter-molecular bonding). Our findings also show that although superficial and nodular types of BCC were analysed, clear differences between the spectra of peritumoral and normal dermis could be detected.

The purpose of this study was to investigate molecular changes associated with glioma tissues by Raman microspectroscopy in order to develop its use in clinical practice. Spectroscopic markers obtained from C6 glioma tissues were compared to conventional histological and histochemical techniques. Cholesterol and phospholipid contents were highest in corpus callosum and decreased gradually towards the cortex surface as well as in the tumor. Two different necrotic areas have been identified: a fully necrotic zone characterized by the presence of plasma proteins and a peri-necrotic area with a high lipid content. This result was confirmed by Nile Red staining. Additionally, one structure was detected in the periphery of the tumor. Invisible with histopathological hematoxylin and eosin staining, it was revealed by immunohistochemical Ki-67 and MT1-MMP staining used to visualize the proliferative and invasive activities of glioma, respectively. Hierarchical cluster analysis on the only cluster averaged spectra showed a clear distinction between normal, tumoral, necrotic and edematous tissues. Raman microspectroscopy can discriminate between healthy and tumoral brain tissue and yield spectroscopic markers associated with the proliferative and invasive properties of glioblastoma. Development of in vivo Raman spectroscopy could thus accurately define tumor margins, identify tumor remnants, and help in the development of novel therapies for glioblastoma.

Raman spectra provide wealthy but complex information about the chemical constituents of biological samples. Digital processing techniques are usually needed to extract the spectra of chemical constituents and their associated concentration profiles. However, spectral signatures may admit transformations from those recorded on pure constituents and these techniques require a priori knowledge of spectra to be estimated. We propose in this study to analyse paraffin-embedded skin biopsies of malignant and benign tumors dedicated to oncology researches by Raman spectroscopy and advanced signal processing methods. We show that the commonly used principal component analysis (PCA) does not give physically interpretable estimators of spectra and associated concentration profiles. Based on a linear model and taking into account the statistical properties of spectra, independent component analysis (ICA) is used to better estimate the spectra of chemical constituents. The estimators of associated concentration profiles are no longer orthogonal and have only positive values, contrary to PCA. ICA allows to model the paraffin by three Raman spectra and provides good estimators of underlying spectra of the human skin, which is of great interest in oncology since the retrieval of spectral features of different types of skin tumors is sufficient for their discrimination.

// Marie Guilbert 1,* , Blandine Roig 2,* , Christine Terryn 3 , Roselyne Garnotel 1 , Pierre Jeannesson 1 , Ganesh D. Sockalingum 1,3 , Michel Manfait 1 , Francois Perraut 2 , Jean-Marc Dinten 2 , Anne Koenig 2 and Olivier Piot 1,3 1 MeDIAN-Biophotonique et Technologies pour la Sante, Universite de Reims Champagne-Ardenne, CNRS UMR 7369 MEDyC, UFR de Pharmacie, SFR CAP Sante, Reims, France 2 CEA, LETI, Minatec campus, Grenoble, France 3 Plate-forme Imagerie Cellulaire et Tissulaire, Universite de Reims Champagne-Ardenne, Reims, France * These authors have contributed equally to this work Correspondence to: Olivier Piot, email: // Keywords : Type I collagen aging, 3D matrix, confocal reflectance microscopy, diffuse reflectance spectroscopy, ATR infrared imaging, Gerotarget Received : September 07, 2015 Accepted : January 30, 2016 Published : February 14, 2016 Abstract During aging, alterations of extracellular matrix proteins contribute to various pathological phenotypes. Among these alterations, type I collagen cross-linking and associated glycation products accumulation over time detrimentally affects its physico-chemical properties, leading to alterations of tissue biomechanical stability. Here, different-age collagen 3D matrices using non-destructive and label-free biophotonic techniques were analysed to highlight the impact of collagen I aging on 3D constructs, at macroscopic and microscopic levels. Matrices were prepared with collagens extracted from tail tendons of rats (newborns, young and old adults) to be within the physiological aging process. The data of diffuse reflectance spectroscopy reveal that aging leads to an inhibition of fibril assembly and a resulting decrease of gel density. Investigations by confocal reflectance microscopy highlight poor-fibrillar structures in oldest collagen networks most likely related to the glycation products accumulation. Complementarily, an infrared analysis brings out marked spectral variations in the Amide I profile, specific of the peptidic bond conformation and for carbohydrates vibrations as function of collagen-age. Interestingly, we also highlight an unexpected behavior for newborn collagen, exhibiting poorly-organized networks and microscopic features close to the oldest collagen. These results demonstrate that changes in collagen optical properties are relevant for investigating the incidence of aging in 3D matrix models.

Ovarian cancer is the sixth most common cancer among women worldwide, and mortality rates from this cancer are higher than for other gynecological cancers. This is attributed to a lack of reliable screening methods and the inadequacy of treatment modalities for the advanced stages of the disease. FTIR and Raman spectroscopic studies of formalin-fixed normal, benign, and malignant ovarian tissues have been undertaken in order to investigate and attempt to understand the underlying biochemical changes associated with the disease, and to explore the feasibility of discriminating between these different tissue types. Raman spectra of normal tissues indicate the dominance of proteins and lower contents of DNA and lipids compared to malignant tissues. Among the pathological tissues studied, spectra from benign tissues seem to contain more proteins and less DNA and lipids compared to malignant tissue spectra. FTIR studies corroborate these findings. FTIR and Raman spectra of both normal and benign tissues showed more similarities than those of malignant tissues. Cluster analysis of first-derivative Raman spectra in the 700-1700 cm(-1) range gave two clear groups, one corresponding to malignant and the other to normal+benign tissues. At a lower heterogeneity level, the normal+benign cluster gave three nonoverlapping subclusters, one corresponding to normal and two for benign tissues. Cluster analysis of second-derivative FTIR spectra in the combined spectral regions of 1540-1680 and 1720-1780 cm(-1) resulted into two clear clusters corresponding to malignant and normal+benign tissues. The cluster corresponding to normal+benign tissues produced nonoverlapping subclusters for normal and benign tissues at a lower heterogeneity level. The findings of this study demonstrate the feasibility of Raman and FTIR microspectroscopic discrimination of formalin-fixed normal, benign, and malignant ovarian tissues.

Aims: To investigate the potentials and limitations of Fourier transform-infrared (FT-IR) microspectroscopy as a tool to identify, at the level of microcolonies, pathogenic bacteria frequently isolated in the clinical environment. Methods and Results: A total of 1570 FT-IR spectra from 164 gram-positive and gram-negative bacteria isolated from patients were recorded from 6 to 10-h old microcolonies of 50‐150 lm size. A classification of 100% was obtained for the most frequent gram-positive bacteria, such as Staphylococcus aureus, Staphylococcus epidermidis, Enterococcus faecalis, and Enterococcus faecium at the species level. An average accuracy of about 80% was reached with Gram negative bacteria from the Enterobacteriaceae and Pseudomonaceae families; Enterobacter aerogenes, Enterobacter cloacae, Klebsiella spp., and Citrobacter koseri; and Proteus mirabilis and Escherichia coli. Results were comparable with FT-IR measurements on dried suspensions from 18-h cultures. Conclusions: Early identification of young microcolonies is feasible with FT-IR microscopy with a very high accuracy for gram-positive bacteria. Some improvement in the transfer of microcolonies is necessary to increase the accuracy for gram-negative bacteria. Significance and Impact of the Study: Combination of FT-IR microscopy and multivariate data analysis could be a complementary, rapid, and reliable tool for screening and discriminating, at species and subspecies level, micro-organisms of clinical, food-borne, or environmental origins.

Fourier transform infrared (FT-IR) spectroscopy is a valuable technique for characterization of biological samples, providing a detailed fingerprint of the major chemical constituents. However, water vapor and CO2 in the beam path often cause interferences in the spectra, which can hamper the data analysis and interpretation of results. In this paper we present a new method for removal of the spectral contributions due to atmospheric water and CO2 from attenuated total reflection (ATR)-FT-IR spectra. In the IR spectrum, four separate wavenumber regions were defined, each containing an absorption band from either water vapor or CO2. From two calibration data sets, gas model spectra were estimated in each of the four spectral regions, and these model spectra were applied for correction of gas absorptions in two independent test sets (spectra of aqueous solutions and a yeast biofilm ( C. albicans) growing on an ATR crystal, respectively). The amounts of the atmospheric gases as expressed by the model spectra were estimated by regression, using second-derivative transformed spectra, and the estimated gas spectra could subsequently be subtracted from the sample spectra. For spectra of the growing yeast biofilm, the gas correction revealed otherwise hidden variations of relevance for modeling the growth dynamics. As the presented method improved the interpretation of the principle component analysis (PCA) models, it has proven to be a valuable tool for filtering atmospheric variation in ATR-FT-IR spectra.

Carbamylation by urea-derived cyanate is a posttranslational modification of proteins increasing during chronic renal insufficiency, which alters structural and functional properties of proteins and modifies their interactions with cells. We report here the major structural alterations of type I collagen induced by carbamylation. Biophysical methods revealed that carbamylated collagen retained its triple-helical structure, but that slight changes destabilized some regions within the triple helix and decreased its ability to polymerize into normal fibrils. These changes were associated with the incapacity of carbamylated collagen to stimulate polymorphonuclear neutrophil oxidative functions. This process involved their interaction with LFA-1 integrin, but no subsequent p(125)FAK phosphorylation. Carbamylation of collagen might alter interactions between collagen and inflammatory cells in vivo and interfere with the normal remodeling of extracellular matrix, thus participating in the pathophysiological processes occurring during renal insufficiency.Carbamylation by urea-derived cyanate is a posttranslational modification of proteins increasing during chronic renal insufficiency, which alters structural and functional properties of proteins and modifies their interactions with cells. We report here the major structural alterations of type I collagen induced by carbamylation. Biophysical methods revealed that carbamylated collagen retained its triple-helical structure, but that slight changes destabilized some regions within the triple helix and decreased its ability to polymerize into normal fibrils. These changes were associated with the incapacity of carbamylated collagen to stimulate polymorphonuclear neutrophil oxidative functions. This process involved their interaction with LFA-1 integrin, but no subsequent p(125)FAK phosphorylation. Carbamylation of collagen might alter interactions between collagen and inflammatory cells in vivo and interfere with the normal remodeling of extracellular matrix, thus participating in the pathophysiological processes occurring during renal insufficiency.

Comparative studies of Candida albicans strains are essential for proving cross-infections in epidemiological investigations. Typing of C . albicans strains is mainly based on genotypic methods. Fourier-transform infrared (FTIR) spectroscopy is described in this study as a novel phenotypic approach to the typing of C . albicans . The first step in the approach was the standardization of sample preparation (culture conditions and sampling parameters) and acquisition and classification parameters (spectral acquisition, spectral window selection, classification algorithm, and heterogeneity threshold). The second step consisted of validating the established parameters with a set of 79 strains of C . albicans isolated over 4 months from nine patients hospitalized in two intensive care units. Strains were isolated from multiple anatomical sites with repeated sampling. FTIR spectroscopy results were compared to randomly amplified polymorphic DNA (RAPD) results; this analysis showed that the amplification patterns of strains isolated from a given patient were identical and that different patients had different profiles. FTIR spectroscopy data were analyzed by hierarchical clustering performed with the second-derivative spectra. This classification revealed nine groups, one per patient. Only one spectrum out of 79 was misclassified by the FTIR spectroscopy method. RAPD and FTIR spectroscopy results were in good agreement, showing that, when nosocomial candidiasis transmission is suspected and urgent information is needed, this technique may be useful as a quick identification tool to give solid clues before confirmation by a genotypic method.

Portions of this work were presented at the 15th European Conference on the Spectroscopy of Biological Molecules, August 25-30, 2013, Oxford, UK, and published in the proceedings; International audience; The rabbit VX2 tumor is a fast-growing carcinoma model commonly used to study new therapeutic devices, such as catheter-based therapies for patients with inoperable hepatocellular carcinoma. The evaluation of tumor viability after such locoregional therapies is essential to directing hepatocellular carcinoma management. We used infrared microspectroscopy for the automatic characterization and quantification of the VX2 liver tumor viability after drug-eluting beads transarterial chemoembolization (DEB-TACE). The protocol consisted of K-means clustering followed by principal component analysis (PCA) and linear discriminant analysis (LDA). The K-means clustering was used to classify the spectra from the infrared images of control or treated tumors and to build a database of many tissue spectra. On the basis of this reference library, the PCA-LDA analysis was used to build a predictive model to identify and quantify automatically tumor viability on unknown tissue sections. For the DEB group, the LDA model determined that the surface of tumor necrosis represented 91.6% +/- 8.9% (control group: 33.1% +/- 19.6%; Mann-Whitney P = 0.0004) and the viable tumor 2.6% +/- 4% (control group: 62.2% +/- 15.2%; Mann-Whitney P = 0.0004). Tissue quantification measurements correlated well with tumor necrosis (r = 0.827, P < 0.0001) and viable tumor (r = 0.840, P < 0.0001). Infrared imaging and PCA-LDA analysis could be helpful for easily assessing tumor viability.

Multidrug-resistant cells are believed to contain a plasma-membrane-efflux pump which is hypothesized to expel anticancer drugs from the cytosol to the cell exterior. Many of these drugs are classified as weak bases whose binding to intracellular targets is pH-dependent. Slight alterations in intracellular pH gradients have been shown to affect accumulation, endocytosis and secretion of drugs. In this study, we developed a new method based on confocal spectral imaging analysis to determine intracellular pH gradients in sensitive and MDR tumor cells. Fluorescein isothiocyanate (FITC) and tetramethylrhodamine conjugated to dextran (FRD) and SNAFL-calcein-AM were used to determine pH in acidic compartments. Carboxy-SNARF1-AM was used to examine cytosolic pH. We observed that sensitive (HL60, K562, CEM and MCF7) cells exhibit lower acidity of the subcellular organelles than that corresponding to drug-resistant derivatives. Moreover, results obtained with carboxy-SNARF1-AM show that resistant cells display a more alkaline cytosolic pH. This results in a considerably larger pH gradient between the vesicular compartments and the cytosol of resistant cells than of sensitive cells. The lower pH gradient observed in sensitive cells may be related to a disruption in the organization of the trans-Golgi network (TGN). In drug-resistant cells, the organization of TGN appears compact. In addition, confocal microscopic analysis of cells labelled with FRD and SNAFL-calcein showed that sensitive cells contain a lower number of acidified vesicles. This suggest a diminished capacity of these cells to remove protonated drugs from the cytoplasm to secretory compartments followed by their secretion through the activity of the secretory and recycling pathways.

We used confocal microspectrofluorometry to investigate intracellular distribution of pirarubicin or THP-DOX in parental K562, CEM, and LR73 tumor cells and their corresponding multidrug-resistant (MDR) strains. Each spectrum of a recorded image was considered as a combination of cell autofluorescence and fluorescence of the drug. In the cytoplasm of parental K562, CEM, and LR73 cells, THP-DOX fluorescence emission profile was similar to that of free drug in aqueous buffer. The (I550nm/I600nm) ratio was 0. 50 +/- 0.1. However, in the cytoplasm of resistant cells the 550-nm band profile was modified. The I550nm/I600nm ratio was 0.85 +/- 0.2 in MDR K562 cells, which is significantly different from the ratio in sensitive cells (p0.01). This appeared first to correspond to accumulation and self-oligomerization of THP-DOX in cytoplasmic organelles of MDR cells. Transfection of LR73 cells with the mdr1 gene conferred this characteristic on the resistant LR73R cells. Bodipy-ceramide, a trans-Golgi probe, was co-localized with the typical fluorescence emission peak at 550 nm observed in the cytoplasm of MDR cells. This organelle has been shown to be more acidic in MDR cells. Moreover, this specific pattern was similar to that observed when anthracycline is complexed with sphingomyelin. The typical fluorescence emission peak at 550 nm decreased in MDR cells incubated simultaneously in the presence of the drug and quinine, verapamil, or S9788. Growth inhibitory effect and nuclear accumulation of THP-DOX data obtained on LR73R and LR73D cell lines showed that only during reversion of resistance by verapamil and S9788 was an increase of nuclear THP-DOX accumulation observed. Our data suggest that characteristics of molecular environment, such as higher pH gradient or lipid structures, would be potential mechanisms of multidrug-resistance via the sequestration of anthracyclines.

The molecular and ionic mechanisms responsible for the regulation of mucus exocytosis in human airway gland cells remain poorly defined. To determine whether dynamic changes of intracellular free Ca2+ concentration [Ca2+]i can promote different exocytotic responses, we monitored dynamic changes in [Ca2+]i and secretory granule (SG) exocytosis in individual human tracheal submucosal serous gland (HTG) cells. These changes were in response to exposure of the cells to three different secretagogues associated with airway inflammation and disease: human neutrophil elastase (HNE), histamine, and ATP. Dynamic changes in [Ca2+]i from single cells were determined with Indo-1/AM using quantitative UV laser microspectrofluorometry. The rate of SG exocytosis was measured in single cells by fluorescence videomicroscopy of SG degranulation and by the ELISA method. Exposure of HTG cells to a low concentration of HNE (1.0 microM) caused a high rate of SG exocytosis (52% decrease in the initial quinacrine fluorescence) during the first 8-min stimulation period compared with that observed following exposure of the cells to 100 microM histamine (10% decrease) or 100 microM ATP (6% decrease). In contrast to a rapid and transient rise in [Ca2+]i induced by histamine (1.0-100 microM) and ATP (10-100 microM), HNE (0.01-1 microM) generated asynchronous oscillations in [Ca2+]i over the first 8-min period. Depletion of internal Ca2+ stores with thapsigargin (500 nM) induced a significant reduction (P0.01) in the observed increases in [Ca2+]i upon addition of each of the secretagogues, but did not greatly affect the SG exocytotic responses. Interestingly, the removal of extracellular Ca2+ (+5 mM EGTA) significantly reduced (P0.01) both the [Ca2+]i increases and the rate of SG exocytosis following exposure to the secretagogues. We also demonstrate that the influx of extracellular Ca2+ and [Ca2+]i oscillations rather than the absolute level of [Ca2+]i regulate the rapid onset and extent of exocytotic responses to HNE in airway gland cells. Taken together, these results provide strong evidence that [Ca2+]i is a critical intracellular messenger in the regulation of exocytosis process in human airway gland cells.

Confocal laser microspectrofluorometry was used to investigate restoration of nuclear pirarubicin (THP-DOX) accumulation and sensitivity by verapamil, quinine and S9788 in 2 variants of the Chinese hamster ovary cell lines LR73, selected for resistance to doxorubicin (LR73D) or transfected with the mdr1 gene (LR73R). The 2 resistant cell lines present a multidrug-resistance phenotype (MDR). Verapamil and S9788, which interact with P-glycoprotein (P-gp), were able to restore nuclear THP-DOX accumulation in LR73R and LR73D cells to a level equivalent to that in sensitive cells. On the other hand, quinine was unable to increase nuclear THP-DOX accumulation significantly even at a concentration of 50 μM. All modulators completely restored THP-DOX sensitivity in resistant cell lines. Our results also show that verapamil and S9788 allow high nuclear drug accumulation, whereas quinine did not affect nuclear accumulation. The effect of quinine on the mdr1 gene expression was determined by the use of reverse transcription coupled with polymerase chain reaction. After a 2 hr treatment with 20 μM of quinine, mdr1 gene expression increased slightly. Int. J. Cancer 73:600–606, 1997. © 1997 Wiley-Liss, Inc.

Hyphenation of attenuated total reflection Fourier transform infrared spectroscopy and cluster analysis has been used to characterise a susceptible Escherichia coli K12 strain and the transconjugants TEM-1, TEM-2, TEM-3, SHV-2, SHV-3, SHV-4. A good discrimination of the susceptible strain from the transconjugants was obtained. Although a limited success was achieved in the differentiation of SHV and TEM phenotypes in general, results obtained with TEM-2 and SHV-3 were convincing. Spectral differences observed are ascribed to the global effects of the conjugation process, particularly their repercussions in the nucleic acids and carbohydrate absorbing regions, rather than to β-lactamase point-mutations.

Infrared spectral imaging coupled with clustering methods has been shown to be efficient to highlight the structural composition of human tissues and to provide clinically relevant diagnostic information for oncology. Especially, a new fuzzy C-means based algorithm was developed in order to automatically process an infrared image and to assess the transitions between structures (e.g. tumor/normal) in a tumor tissue. However, this algorithm is time consuming and the visualization of the transitions is not easy.

Colorectal cancers are the third most common type of cancers globally, affecting both sexes [1]. As of now, histopathology is the gold standard method for colon cancer diagnosis. Newer technologies are the important need of the hour to complement the existing approaches, for better understanding the onset and progression of the disease. Infrared (IR) imaging could be a potential candidate method because of its capability to probe non-destructively and in a label-free manner the intrinsic chemical bonds present in the tissue, thus giving a “spectral fingerprint” of its composition and structures. To this end, we have developed IR spectral histopathology with the aims to: (a) examine, the molecular changes between normal and tumoral colon tissues, (b) exploit its potentials to identify new diagnostic markers to complement conventional histopathology, and (c) develop an algorithm as an automatic diagnostic tool for tumor prediction, directly on paraffinized samples, without chemical de-waxing, staining or any further preparation.

Caffeine is utilised as a reference for permeation studies in dermatology and cosmetology. The present work aimed to monitor the permeation of a caffeine solution through the skin. For this purpose, Raman and infrared studies were performed. Raman microspectroscopy permitted a dynamic follow-up of the caffeine diffusion. In complementary, infrared microimaging provided information of the caffeine localization in the skin by applying multivariate statistical processing on skin tissue sections. Herein, we prove the possibility of tracking low concentrations of caffeine through the skin and we highlight some experimental limitations of vibrational spectroscopies.

Cytotoxicity of several classes of antitumor DNA intercalators is thought to result from disturbance of DNA metabolism following trapping of the nuclear enzyme DNA topoisomerase II as a covalent complex on DNA. Here, molecular interactions of the potent antitumor drug amsacrine ( m -AMSA), an inhibitor of topoisomerase II, within living K562 cancer cells have been studied using surface-enhanced Raman (SER) spectroscopy. The work is based on data of the previously performed model SER experiments dealing with amsacrine/ DNA, drug/topoisomerase II and drug/DNA/topoisomerase II complexes in aqueous buffer solutions. The SER data indicated two kinds of amsacrine interactions in the model complexes with topoisomerase II alone or within ternary complex: non-specific (via the acridine moiety) and specific to the enzyme conformation (via the side chain of the drug). These two types of interactions have been both revealed by the micro-SER spectra of amsacrine within living K562 cancer cells. Our data suppose the specific interactions of amsacrine with topoisomerase II via the side chain of the drug (particular feature of the drug/topoisomerase II and ternary complexes) to be crucial for its inhibitory activity.

Innovative diagnostic methods are the need of the hour that could complement conventional histopathology for cancer diagnosis. In this perspective, we propose a new concept based on spectral histopathology, using IR spectral micro-imaging, directly applied to paraffinized colon tissue array stabilized in an agarose matrix without any chemical pre-treatment. In order to correct spectral interferences from paraffin and agarose, a mathematical procedure is implemented. The corrected spectral images are then processed by a multivariate clustering method to automatically recover, on the basis of their intrinsic molecular composition, the main histological classes of the normal and the tumoral colon tissue. The spectral signatures from different histological classes of the colonic tissues are analyzed using statistical methods (Kruskal-Wallis test and principal component analysis) to identify the most discriminant IR features. These features allow characterizing some of the biomolecular alterations associated with malignancy. Thus, via a single analysis, in a label-free and nondestructive manner, main changes associated with nucleotide, carbohydrates, and collagen features can be identified simultaneously between the compared normal and the cancerous tissues. The present study demonstrates the potential of IR spectral imaging as a complementary modern tool, to conventional histopathology, for an objective cancer diagnosis directly from paraffin-embedded tissue arrays.

Raman microimaging is a potential analytical technique in health field and presents many possible pharmaceutical applications. In this study, we tested a micrometer spatial resolution probe coupled to a portable Raman imager via an indexed multifiber bundle. At the level of the probe, the fibers were arranged in a circular geometry in order to fit to the pupil of an objective. The imaging potential of this Raman system was assessed on pharmaceutical-like pellets. We showed that this setup permits to record, nearly in real time, Raman images with a micrometer resolution. The collected images revealed a marked heterogeneity in chemicals distribution. Further investigations will be led on cells and biological tissues to evaluate the potential of this Raman imaging device for biomedical applications.

Fourier-transform infrared spectroscopy was used to explore structural changes in bacteria under different incubation conditions. In particular, differences between Bradyrhizobium japonicum (BRJ) grown in liquid and on solid media were investigated, as well as the rearrangement of BRJ after transfer from one medium to the other. The FT-IR absorption bands located between 1200 and 900 cm-1 region, vary in spectral shape and intensity when BRJ were suspended in solution medium or plated on solid medium. In agreement with the electronic micrograph data, these spectroscopic changes are due to the changes involving the bacterial wall (peptidoglycan) when BRJ are plated in agar medium. By means of this FT-IR ultrastructural study of Bradyrhizobium japonicum bacteria, it has been possible to follow and to evaluate the rate of the molecular change in bacteria without any destructive interference. This indicates that FT-IR spectroscopy can prove to be a valuable technique in the monitoring of metabolic events in bacterial cells relevant to agriculture as well as environmental and health sciences.

Aims: Classical biochemical and molecular methods for discerning cells with epigenetic modifications are often biologically perturbing or even destructive. We wondered whether the noninvasive laser tweezer Raman spectroscopy technique allowed the discrimination of single living human cells undergoing epigenetic modifications. Materials & methods: Human Jurkat leukemic cells were treated with inhibitors of histone deacetylases (trichostatin A and MS-275). Epigenetic changes were monitored through histone electrophoresis, nuclear image cytometry and laser tweezer Raman spectroscopy. Results: Treatment of Jurkat cells with histone deacetylase inhibitors increased histone acetylation and induced chromatin organization changes. Characteristic vibrations, issued from laser tweezer Raman spectroscopy analyses, mostly assigned to DNA and proteins allowed discerning histone deacetylase inhibitor-treated cells from control with high confidence. Statistical processing of laser tweezer Raman spectroscopy data led to the definition of specific biomolecular fingerprints of each cell group. Conclusion: This original study shows that laser tweezer Raman spectroscopy is a label-free rapid tool to identify living cells that underwent epigenetic changes.

This study aims to develop a new FT–IR spectral imaging of tumoral tissue permitting a better characterization of tumor heterogeneity and tumor/surrounding tissue interface. Infrared (IR) data were acquired on 13 biopsies of paraffin-embedded human skin carcinomas. Our approach relies on an innovative fuzzy C-means (FCM)-based clustering algorithm, allowing the automatic and simultaneous estimation of the optimal FCM parameters (number of clusters K and fuzziness index m). FCM seems more suitable than classical ‘hard’ clusterings, as it permits the assignment of each IR spectrum to every cluster with a specific membership value. This characteristic allows differentiating the nuances in the assignment of pixels, particularly those corresponding to tumoral tissue and those located at the tumor/peritumoral tissue interface. FCM images permit to highlight a marked heterogeneity within the tumor and characterize the interconnection between tissular structures. For the infiltrative tumors, a progressive gradient in the membership values of the pixels of the invasive front was also revealed.

Identifying cell response to a chemotherapy drug treatment, in particular at the single cell level, is an important issue in patient management. This study aims at evaluating the effect of gemcitabine on single living cells using micro-Raman imaging. We used as a model the non-small lung cancer cell line, Calu-1, exposed to cytostatic doses (1 nM to 1 mu M for 24 h and 48 h) of gemcitabine, an antitumor drug currently used in the treatment of lung cancer. Following drug treatment as a function of doses and incubation times, the Raman maps of single living cells were acquired. Cell biomolecules (DNA, RNA, and proteins) were chemically extracted and their spectral signatures used to evaluate their respective distribution in the cellular spectral information of control and treated cells. The quantification of these distributions reveals a significant effect of 100 nM gemcitabine at 48 h incubation (concomitant decrease of nucleic acids and increase of proteins). PCA analyses performed both on nuclear and extracted biomolecules spectra show a time-dependent effect of the drug. These promising results reveal that effects of subtoxic doses can be monitored at the single cell level highlighting the importance of such studies for clinical applications.

Surface-enhanced Raman scattering (SERS) spectroscopy is now a well-established phenomenon, which has been thoroughly characterized in a variety of interfacial and colloidal environments. Although some quantitative aspects of the underlying enhancement mechanisms apparently remain unresolved, attention is now shifting towards application of SERS to explore phenomena of chemical, physical, biological and industrial significance. The goal of this review is to appreciate the industrial value of innovative SERS technique on the basis of our experience in development of new SERS-active substrates and in their biomedical and biotechnological applications. Examples of diverse SERS analytical applications as well as some very recent facilities, as SERS microprobe analysis, SERS fiber optics probes, FT-SERS spectroscopy, SERS detection for high-performance liquid chromatography, etc. , are also discussed.

The outermost layer of the mammalian skin, the stratum corneum (SC), represents the main skin barrier. The SC lipids have a very exceptional composition, as the main lipid classes are ceramides (CER), long-chain fatty acids and cholesterol. Information on the function of each CER subclass and on the relation between CER lipid organisation and composition is of great importance to unravel the mechanism controlling the skin barrier function. Raman spectroscopy has been increasingly used for the study of intra- and inter-molecular structures of long-chain lipid compounds. In this study, we employed Raman spectroscopy to evaluate the effect of (1) the chain length and (2) the polar head architecture on the conformational order and organisational behaviour of CERs. The relation between the structure and the stability of the organisation was studied by monitoring the thermotropic response of each CER in the temperature range between 25 and 95 °C. This work enabled the determination of a correlation between the gauche/trans ratio in the νCC region and the state of the lateral packing. Moreover, it was shown that –OH groups in the α position of the fatty acids reduce the stability while long alkyl chains reinforces the intra- and inter-chains order.

Raman spectroscopy has proven its potential for the analysis of cell constituents and processes. However, sample preparation methods compatible with clinical practice must be implemented for collection of accurate spectral information. This study aims at assessing, using micro-Raman imaging, the effects of some routinely used fixation methods such as formalin-fixation, formalin-fixation/air drying, cytocentrifugation, and air drying on intracellular spectral information. Data were compared with those acquired from single living cells. In parallel to these spectral information, cell morphological modifications that accompany sample preparation were compared. Spectral images of isolated cells were first analyzed in an unsupervised way using hierarchical cluster analysis (HCA), which allowed delimitation of the cellular compartments. The resulting nuclei cluster centers were compared and revealed at the molecular level that fixation induced changes in spectral information assigned to nucleic acids and proteins. In a second approach, a supervised fitting procedure using model spectra of DNA, RNA, and proteins, chemically extracted from living cells, revealed very small modifications at the level of the localization and quantification of these macromolecules. Finally, HCA and principal components analysis (PCA) performed on individual spectra randomly selected from the nuclear regions showed that formalin-fixation and cytocentrifugation are sample preparation methods that have little impact on the biochemical information as compared to living conditions. Any step involving cell air drying seems to accentuate the spectral deviations from the other preparation methods. It is therefore important in a future context of spectral cytology to take into account these variations.

The in vitro study of cellular species using Raman spectroscopy has proven a powerful non-invasive modality for the analysis of cell constituents and processes. This work uses micro-Raman spectroscopy to study the chemical fixation mechanism in three human cell lines (normal skin, normal bronchial epithelium, and lung adenocarcinoma) employing fixatives that preferentially preserve proteins (formalin), and nucleic acids (Carnoy’s fixative and methanol–acetic acid). Spectral differences between the mean live cell spectra and fixed cell spectra together with principal components analysis (PCA), and clustering techniques were used to analyse and interpret the spectral changes. The results indicate that fixation in formalin produces spectral content that is closest to that in the live cell and by extension, best preserves the cellular integrity. Nucleic acid degradation, protein denaturation, and lipid leaching were observed with all fixatives and for all cell lines, but to varying degrees. The results presented here suggest that the mechanism of fixation for short fixation times is complex and dependent on both the cell line and fixative employed. Moreover, important spectral changes occur with all fixatives that have consequences for the interpretation of biochemical processes within fixed cells. The study further demonstrates the potential of vibrational spectroscopy in the characterization of complex biochemical processes in cells at a molecular level. Figure Chemical preservation of cells for Raman microspectroscopy is shown to be strongly dependent on the cell type and the fixative used, in a variety of cell lines, with formalin fixation show to result in spectral content most comparable to that in the live cell

The barrier function of the stratum corneum (SC) is directly related to: (1) the nature and the composition of the lipids in the intercellular spaces and (2) the conformational order of the ceramides within this layer. The aim of this work was to determine Raman descriptors for the lateral packing, the conformation, and the structure of ceramides III, IIIA, and IIIB issued from the same phytosphingosine ceramide and only presenting differences in the number of double bonds in the hydrocarbon chains. Temperature was used as a variable parameter in order to access the different states of the conformational order and supramolecular organization of the three ceramides, and Raman spectra were collected at each temperature. By using a high-resolution Raman spectrometer and working on a spectral range going from 400 to 3,200 cm(-1), we were able to assess simultaneously the different descriptors of structure and organization, i.e., the methyl rocking bands (840-910 cm(-1)) for the chain-end conformers, the C-C skeletal stretching (1,060-1,130 cm(-1)), and the CH stretching region (2,800-3,050 cm(-1)) for the trans and gauche conformations, the CH(2) scissoring bands to follow the changes in the lateral packing, and finally the amide I band to evaluate the state of the H-bonds between the polar and head groups.

International audience; Diffusion-time distribution analysis (DDA) has been used to explore the plasma membrane fluidity of multidrug-resistant cancer cells (LR73 carcinoma cells) and also to characterize the influence of various membrane agents present in the extracellular medium. DDA is a recent single-molecule technique, based on fluorescence correlation spectroscopy (FCS), well suited to retrieve local organization of cell membrane. The method was conducted on a large number of living cells, which enabled us to get a detailed overview of plasma membrane microviscosity, and plasma membrane micro-organization, between the cells of the same line. Thus, we clearly reveal the higher heterogeneity of plasma membrane in multidrug-resistant cancer cells in comparison with the nonresistant ones (denoted sensitive cells). We also display distinct modifications related to a membrane fluidity modulator, benzyl alcohol, and two revertants of multidrug resistance, verapamil and cyclosporin-A. A relation between the distribution of the diffusion-time values and the modification of membrane lateral heterogeneities is proposed

Identifying early cellular events in response to a chemotherapy drug treatment, in particular at low doses that will destroy the highest possible number of cancer cells, is an important issue in patient management. In this study, we employed Fourier transform infrared spectroscopy as a potential tool to access such information. We used as model the non-small cell lung cancer cell line, Calu-1. They were exposed to cytostatic doses (0.1 to 100 nM for 24, 48 and 72 h) of gemcitabine, an anti-tumour drug, currently used in treatment of lung cancer patients. In these conditions, inhibition of cell proliferation ranges from weak (or = 5%), to moderate (approximately 23%), to high (82-95%) without affecting cell viability. Following drug treatment as a function of doses and incubation times, the spectra of cell populations and of individual cells were acquired using a bench-top IR source and a synchrotron infrared microscope. It is demonstrated that spectral cell response to gemcitabine is detectable at sublethal doses and that effects observed on cell populations are similar to those from single cells. Using cluster analysis, spectra could be classified in two main groups: a first group that contains spectra of cells exhibiting a weak or moderate proliferation rate and a second group with spectra from cells presenting a high growth inhibition. These results are promising since they show that effects of subtoxic doses can also be monitored at the single-cell level with the clinical implications that this may have in terms of patient benefit and response to chemotherapy.

Fourier transform infrared (FTIR) spectroscopy is nowadays widely accepted as a technique with high potential for diagnosis of cancerous tissues. This study presents an example of the investigation of peritoneal metastases by FTIR microimaging. Peritoneal malignancies are generally secondary localizations of primary visceral cancers such as ovarian, stomach or colon cancers. By analysing simultaneously both formalin-fixed paraffin-embedded and frozen specimens, we examined malignant and non-malignant (i.e. fibrotic and cicatricial) peritoneal lesions. Paraffin-embedded tissues were analysed without any previous dewaxing. Multivariate statistical approaches, based on the classification of infrared data by hierarchical cluster analysis, allowed the discrimination of these various samples. Microimaging also permits the revelation of the heterogeneity of the tissue: it was possible to localize precisely the cancerous areas, and to distinguish, on the basis of their spectral signatures, the peritumoral neighbouring connective tissue close to the carcinomatous areas from the connective tissue distant from the cancerous areas. These spectral differences could be useful as complementary information to study molecular changes associated with the malignancy.

Raman spectra are classically modeled as a linear mixing of spectra of molecular constituents of the analyzed sample. Source separation methods are thus well suited to estimate these constituent spectra. However, physical distortions due to the instrumentation and biological nature of samples add nonlinearities to the Raman spectra model. These distortions are dark current, detector and optic responses, fluorescence background, and peak misalignment and peak width heterogeneity. The source separation results are thus deteriorated by these effects. We propose to develop specific preprocessing steps to correct these distortions and to retrieve a linear model. The benefits brought by these steps are studied by the application of two different source separation methods named joint approximate diagonalization of eigenmatrices and maximum likelihood positive source separation after the application of each step on a dataset acquired on a paraffin-embedded human skin biopsy. The efficacy of these methods to separate Raman spectra is also discussed.