Michel Manfait

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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(More)
Two colon cancer cell lines, HT-29 (human) and DHD/K12/TRb (rat), were grown as monolayer cultures to various confluence degrees. The cytotoxic efficacies of doxorubicin and 4'-deoxydoxorubicin, evaluated by a survival assay, and the nuclear drug concentrations, measured by microspectrofluorometry, were shown to progressively decrease with the augmentation(More)
The surface-enhanced Raman scattering spectra of the new antitumoral agent, intoplicine (RP 60475, NSC 645008), and those of its complexes with DNA and topoisomerase II in vitro and in K562 cancer cells were obtained. Intoplicine was found to unwind DNA and to inhibit purified calf thymus topoisomerase II via a stabilization of the ternary cleavable(More)
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(More)
Acquired resistance to anthracyclines is characterised by a lower sensitivity to these agents, associated with impaired accumulation of drug. We have examined the ability of aclacinomycin A (ACM) associated with doxorubicin (DOX), to increase intranuclear DOX concentrations and, consequently, to enhance cytotoxic effects against drug resistant cells in(More)
Spectral histology of cancer can be achieved thanks to the analysis of infrared (IR) hyperspectral images. The Fuzzy C-Means (FCM) clustering is particularly well adapted since each object is attributed to all clusters with different membership values. Applied on IR hyperspectral images of human skin cancers, it can highlight fine transitions between tumor(More)
We present in this paper a Blind Source Separation (BSS) application to the separation and identification of microorganism Raman spectra. In the study of microorganisms by Raman spectroscopy, the major difficulty is to dissociate the Raman spectrum (RS) of the bacteria from that of the solid culture medium, on which they grow. This is classically achieved(More)