Rolf Wolthuis
Erasmus University Rotterdam
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Featured researches published by Rolf Wolthuis.
Biospectroscopy | 1998
Peter J. Caspers; Gerhardus Wilhelmus Lucassen; Rolf Wolthuis; Hajo A. Bruining; Gerwin J. Puppels
Noninvasive techniques that provide detailed information about molecular composition, structure, and interactions are crucial to further our understanding of the relation between skin disease and biochemical changes in the skin, as well as for the development of penetration enhancers for transdermal drug administration. In this study we present in vitro and in vivo Raman spectra of human skin. Using a Raman microspectrometer, in vitro spectra were obtained of thin cross sections of human skin. They provided insight into the molecular composition of different skin layers. Evidence was found for the existence of a large variation in lipid content of the stratum corneum. A simple experimental setup for in vivo confocal Raman microspectroscopy of the skin was developed. In vivo Raman spectra of the stratum corneum were obtained at different positions of the arm and hand of three volunteers. They provided evidence for differences in the concentration of natural moisturizing factor at these positions.
Journal of Biomedical Optics | 2005
Senada Koljenović; Tom C. Bakker Schut; Rolf Wolthuis; B. de Jong; Luís F. Santos; Peter J. Caspers; Johan M. Kros; Gerwin J. Puppels
Raman spectroscopy is a powerful diagnostic tool, enabling tissue identification and classification. Mostly, the so-called fingerprint (approximately 400-1800 cm(-1)) spectral region is used. In vivo application often requires small flexible fiber-optic probes, and is hindered by the intense Raman signal that is generated in the fused silica core of the fiber. This necessitates filtering of laser light, which is guided to the tissue, and of the scattered light collected from the tissue, leading to complex and expensive designs. Fused silica has no Raman signal in the high wave number region (2400-3800 cm(-1)). This enables the use of a single unfiltered fiber to guide laser light to the tissue and to collect scattered light in this spectral region. We show, by means of a comparison of in vitro Raman microspectroscopic maps of thin tissue sections (brain tumors, bladder), measured both in the high wave number region and in the fingerprint region, that essentially the same diagnostic information is obtained in the two wave number regions. This suggests that for many clinical applications the technological hurdle of designing and constructing suitable fiber-optic probes may be eliminated by using the high wave number region and a simple piece of standard optical fiber.
Atherosclerosis | 1998
T.J. Römer; James F. Brennan; Tom C. Bakker Schut; Rolf Wolthuis; Ria C.M. van den Hoogen; Jef J. Emeis; Arnoud van der Laarse; Albert V.G. Bruschke; Gerwin J. Puppels
The chemical composition of vascular lesions, an important determinant of plaque progression and rupture, can not presently be determined in vivo. Prior studies have shown that Raman spectroscopy can accurately quantify the amounts of major lipid classes and calcium salts in homogenized coronary artery tissue. This study determines how the relative cholesterol content, which is calculated from Raman spectra collected at the luminal surface of an artery, is related to its depth in an intact arterial wall. Raman spectra of human atherosclerotic plaques were measured after thin tissue layers were successively placed on them. From these spectra, relative cholesterol contents were calculated and used to determine how cholesterol signal strength is attenuated by overlaying tissue. Then, intact artery samples (n = 13) were examined spectroscopically, sectioned and stained specifically for cholesterol. Images of these sections were digitized, and image intensities were related to cholesterol content. These cholesterol amounts were weighed appropriately for depth into the tissue and area-integrated for comparison with spectroscopy results. A decaying exponential curve was fit to the layer study data (r2 = 0.97) and showed that approximately 300 microm of tissue attenuates cholesterol signals by 50%. In intact plaques, the spectroscopically-determined cholesterol amounts correlated strongly and linearly with those determined by digital microscopy (r2 = 0.94). With Raman spectroscopy techniques, the cholesterol content of a lesion can be determined by properly accounting for its depth into an arterial wall. Our results suggest that chemical concentrations in an artery wall could be mapped throughout its thickness, possibly by combining Raman spectroscopy methods with other techniques.
Analytical Chemistry | 2008
Rolf Wolthuis; Adrian Travo; Céline Nicolet; Agnès Neuville; Marie-Pierre Gaub; Dominique Guenot; Elodie Ly; Michel Manfait; Pierre Jeannesson; Olivier Piot
This study aims to develop IR imaging of tumor tissues for generating an automated IR-based histology. Formalin-fixed paraffin-embedded xenografts of human colon carcinomas were analyzed. Chemometric and statistical multivariate treatments of spectral data permitted to probe the intrinsic chemical composition of tissues, directly from paraffinized sections without previous dewaxing. Reconstructed color-coded spectral images revealed a marked tumor heterogeneity. We identified three spectral clusters associated to tumoral tissues, whereas HE staining revealed only a single structure. Nine other clusters were assigned to either necrotic or host tissues. This spectral histology proved to be consistent over multiple passages of the same xenografted tumor confirming that intratumoral heterogeneity was maintained over time. In addition, developing an innovative image analysis, based on the quantification of neighboring pixels, permitted the identification of two main sequences of spectral clusters related to the tissue spatial organization. Molecular attribution of the spectral differences between the tumor clusters revealed differences of transcriptional activity within these tumor tissue subtypes. In conclusion, IR spectral imaging proves to be highly effective both for reproducible tissue subtype recognition and for tumor heterogeneity characterization. This may represent an attractive tool for routine high throughput diagnostic challenges, independent from visual morphology.
Histopathology | 2010
Adrian Travo; Olivier Piot; Rolf Wolthuis; Cyril Gobinet; Michel Manfait; Jacques Bara; Marie-Elisabeth Forgue-Lafitte; Pierre Jeannesson
Travo A, Piot O, Wolthuis R, Gobinet C, Manfait M, Bara J, Forgue‐Lafitte M‐E & Jeannesson P (2010) Histopathology 56, 921–931
BiOS '98 International Biomedical Optics Symposium | 1998
Gerwin J. Puppels; Matthijs van Aken; Rolf Wolthuis; Peter J. Caspers; Tom C. Bakker Schut; Hajo A. Bruining; Tjeerd J. Roemer; Hendrik P. J. Buschman; Michael L. Wach; Joe Sam Robinson
Vibrational spectroscopies hold great promise for applications in medical diagnosis, especially if they can be applied in vivo. Recent advances in flexible fiber probe design, enable good quality Raman spectra of tissue to be obtained in vivo. Here we illustrate this with Raman spectra of rat tissues, obtained ex vivo and in vivo.
Biomedical applications of Raman spectroscopy. Conference | 1999
Peter J. Caspers; Gerald W. Lucassen; Rolf Wolthuis; Hajo A. Bruining; Gerwin J. Puppels
Near IR confocal Raman spectroscopy is a non-invasive and non-destructive technique that can provide information about molecular structure and composition in vivo. It is therefore of great interest for skin research. Neither samples preparation nor the use of markers and dyes are required. High quality spectra of the skin can be obtained in several seconds to minutes. Here we present in vivo Raman spectra of the outermost skin layer: stratum corneum. The spectra are interpreted in terms of differences between the molecular composition of the stratum corneum at two different body locations.
BiOS '99 International Biomedical Optics Symposium | 1999
Rolf Wolthuis; Matthijs van Aken; Hajo A. Bruining; Gerwin J. Puppels
Raman spectroscopy gives detailed information about the molecular composition of materials. Combined with multivariate data regression methods, such as Partial Least Squares, it is possible to find a quantitative relation between the measured spectra and the concentration of a particular compound. In this study the feasibility of quantifying glycogen concentrations in rat liver by Raman spectroscopy and PLS analysis was investigated.
Analytical Chemistry | 2005
Luís F. Santos; Rolf Wolthuis; Senada Koljenović; Rui M. Almeida; Gerwin J. Puppels
Journal of Raman Spectroscopy | 2002
Tom C. Bakker Schut; Rolf Wolthuis; Peter J. Caspers; Gerwin J. Puppels