Academic literature on the topic 'In-vivo Skin analysis'
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Journal articles on the topic "In-vivo Skin analysis"
Cal, Krzysztof, Daniel Zakowiecki, and Justyna Stefanowska. "Advanced tools for in vivo skin analysis." International Journal of Dermatology 49, no. 5 (April 26, 2010): 492–99. http://dx.doi.org/10.1111/j.1365-4632.2010.04355.x.
Full textIshikawa, Tomohisa. "In vivo analysis of skin microcirculation in rats and mice." Folia Pharmacologica Japonica 132, no. 2 (2008): 79–82. http://dx.doi.org/10.1254/fpj.132.79.
Full textJachowicz, J., R. McMullen, and D. Prettypaul. "Indentometric analysis of in vivo skin and comparison with artificial skin models." Skin Research and Technology 13, no. 3 (August 2007): 299–309. http://dx.doi.org/10.1111/j.1600-0846.2007.00229.x.
Full textFlores, Ignacio, Gerard Evan, and María A. Blasco. "Genetic Analysis of Myc and Telomerase Interactions In Vivo." Molecular and Cellular Biology 26, no. 16 (August 15, 2006): 6130–38. http://dx.doi.org/10.1128/mcb.00543-06.
Full textKnyazkova, A. I., A. A. Samarinova, V. V. Nikolaev, Y. V. Kistenev, and A. V. Borisov. "Features two-photon microscopy for analysis fluorescent properties of elastin fibers rats in vivo." Izvestiya vysshikh uchebnykh zavedenii. Fizika, no. 11 (2021): 128–33. http://dx.doi.org/10.17223/00213411/64/11/128.
Full textPreiss, Ivor L., and William Washington. "Skin Thickness Effects on In Vivo LXRF." Advances in X-ray Analysis 38 (1994): 607–13. http://dx.doi.org/10.1154/s0376030800018309.
Full textElsayad, Khaled, Christos Moustakis, Manuela Simonsen, Dagmar Bäcker, Uwe Haverkamp, and Hans Theodor Eich. "In-vivo dosimetric analysis in total skin electron beam therapy." Physics and Imaging in Radiation Oncology 6 (April 2018): 61–65. http://dx.doi.org/10.1016/j.phro.2018.05.002.
Full textLim, Grace J., Yozo Ishiuji, Aerlyn G. Dawn, Benjamin Harrison, Do Won Kim, Anthony Atala, and Gil Yosipovitch. "In vitro and In vivo Characterization of a Novel Liposomal Butorphanol Formulation for Treatment of Pruritus." Acta Dermato-Venereologica 88, no. 4 (May 9, 2008): 327–30. http://dx.doi.org/10.2340/00015555-0480.
Full textKoivuranta-Vaara, Päivi. "Neutrophil migration in vivo: Analysis of a skin window technique." Journal of Immunological Methods 79, no. 1 (May 1985): 71–78. http://dx.doi.org/10.1016/0022-1759(85)90393-x.
Full textDonadio, Vincenzo, Zerui Wang, Alex Incensi, Giovanni Rizzo, Enrico Fileccia, Veria Vacchiano, Sabina Capellari, et al. "In Vivo Diagnosis of Synucleinopathies." Neurology 96, no. 20 (April 9, 2021): e2513-e2524. http://dx.doi.org/10.1212/wnl.0000000000011935.
Full textDissertations / Theses on the topic "In-vivo Skin analysis"
Mahmud, Jamaluddin. "Development of a novel technique in measuring human skin deformation in vivo to determine its mechanical properties." Thesis, Cardiff University, 2009. http://orca.cf.ac.uk/54890/.
Full textGevaux, Lou. "3D-hyperspectral imaging and optical analysis of skin for the human face." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSES035.
Full textHyperspectral imaging (HSI), a non-invasive, in vivo imaging method that can be applied to measure skin spectral reflectance, has shown great potential for the analysis of skin optical properties on small, flat areas: by combining a skin model, a model of light-skin interaction and an optimization algorithm, an estimation of skin chromophore concentration in each pixel of the image can be obtained, corresponding to quantities such as melanin and blood. The purpose of this work is to extend this method to large, non-flat areas, in particular the human face. The accurate measurement of complex objects such as the face must account for variances of illumination that result from the 3D geometry of an object, which we call irradiance drifts. Unless they are accounted for, irradiance drifts will lead to errors in the hyperspectral image analysis.In the first part of the work, we propose a measurement setup comprising a wide field HSI camera (with an acquisition range of 400 - 700 nm, in 10 nm width wavebands) and a 3D measurement system using fringe projection. As short acquisition time is crucial for in vivo measurement, a trade-off between resolution and speed has been made so that the acquisition time remains under 5 seconds.To account for irradiance drifts, a correction method using the surface 3D geometry and radiometry principles is proposed. The irradiance received on the face is computed for each pixel of the image, and the resulting data used to suppress the irradiance drifts in the measured hyperspectral image. This acts as a pre-processing step to be applied before image analysis. This method, however, failed to yield satisfactory results on those parts of the face almost perpendicular to the optical axis of the camera, such as the sides of the nose, and was therefore discarded in favor of using an optimization algorithm robust to irradiance drifts in the analysis method.Skin analysis from the measured hyperspectral image is performed using optical models and an optimization method. Skin is modeled as a two-layer translucent material whose absorption and scattering properties are determined by its composition in chromophores. Light-skin interactions are modeled using a two-flux method. An inverse problem is solved by optimization to retrieve information about skin composition from the measured reflectance. The chosen optical models represent a trade-off between accuracy and acceptable computation time, which increases exponentially with the number of parameters in the model. The resulting chromophore maps can be added to the 3D mesh measured using the 3D-HSI camera for display purposes.In the spectral reflectance analysis method, skin scattering properties are assumed to be the same for everyone and on every part of the body, which represents a shortcoming. In the second part of this work, the fringe projector originally intended for measuring 3D geometry is used to acquire skin modulation transfer function (MTF), a quantity that yields information about both skin absorption and scattering coefficients. The MTF is measured using spatial frequency domain imaging (SFDI) and analyzed by an optical model relying on the diffusion equation to estimate skin scattering coefficients. On non-flat objects, retrieving such information independently from irradiance drifts is a significant challenge. The novelty of the proposed method is that it combines HSI and SFDI to obtain skin scattering coefficient maps of the face independently from its shape.We emphasize throughout this dissertation the importance of short acquisition time for in vivo measurement. The HSI analysis method, however, is extremely time-consuming, preventing real time image analysis. A preliminary attempt to address this shortcoming is presented, using neural networks to replace optimization-based analysis. Initial results of the method have been promising, and could drastically reduce calculation time from around an hour to a second
Mainreck, Nathalie. "Apport potentiel de la spectroscopie Raman dans le traitement chirurgical des carcinomes cutanés (CBC)." Thesis, Reims, 2017. http://www.theses.fr/2017REIMS028/document.
Full textBasal cell carcinoma (BCC) is the most common skin cancer and a major problem for healthcare services worldwide. BCC rarely metastasizes but can become highly damaging for surrounding tissue in case of late diagnosis. Actually, the gold standard for BCC diagnosis relies on histopathological assessment of thin sections, but it is an invasive method which provides a delayed response. Moreover, it will be helpful during surgery of BCC to assess in real-time the optimal size of the security margins, which has to be small enough to minimize aesthetic sequelae but sufficient to avoid recurrence. The aim of this work is to evaluate the potential contribution of Raman spectroscopy in the management of BCC. This technology can be applied in vivo thanks to the development of appropriate probes and allows a relatively rapid tissue exploration at a molecular level. A total of 32 patients were included in this study. From in vivo recorded spectra, a model of discrimination BCC / healthy skin was implemented, from which the width of excision margins was evaluated. Deep margins were also studied after recording spectra on freshly excised pieces. Discriminant Raman markers were identified at different levels in vivo, ex vivo and in vitro; they are potential bio-indicators to help the surgeon to define ideal excision margins. In addition, the contribution of spectral backgrounds, usually removed from Raman analysis, was considered and their interest in this project was discussed
LETO, BARONE Maria Stefania. "Analysis of a database to predict the result of allergy testing in vivo in patients with chronic nasal symptoms and the development of the software ARSTAT." Doctoral thesis, Università degli Studi di Palermo, 2014. http://hdl.handle.net/10447/91193.
Full textLackermeier, A. H. "A novel multi-channel impedance analyser for the in vivo investigation of the electrical properties of human skin during transdermal drug delivery." Thesis, University of Ulster, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342315.
Full textLin, Kuan-Hung, and 林冠宏. "Comparative analysis of intrinsic skin aging between Caucasian and Asian subjects by in vivo harmonic generation microscopy." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/txh6us.
Full text國立臺灣大學
生醫電子與資訊學研究所
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Intrinsic skin aging is defined as an inalterable process that is associated with the cellular and sub-cellular structural change of epidermis and dermis. Phenotypical and functional differences in the intrinsic skin aging process of individuals between Caucasians and Asians have generated considerable interest in dermatology and cosmetic industry. Some recent works describing racial differences in structural skin aging properties have been reported. However, most of these studies have been focused on stratum corneum and in some other studies interindividual differences in skin quality overwhelm the racial difference. Therefore, there has been a demand for more detailed studies to address various cellular and sub-cellular epidermal/dermal parameters together with age differences among different racial groups. This study investigates the morphological changes related to intrinsic skin aging in the viable epidermis and the dermal papilla zone (DPZ) between Caucasians and Asians. In contrast to other microscopies, harmonic generation microscopy (HGM) is an optimal tool to study skin aging because of the ability to distinguish the epidermis from dermis by different harmonic generation phenomena. A 1230 nm femtosecond chromium-forsterite laser was used for excitation to lessen skin attenuation and a sub-micron and 1-micron resolution in lateral and axial directions and a greater than 300 μm penetrability were previously achieved. In this study, we recruited 31 Caucasian subjects and obtained in vivo HGM images on the sun-protected volar forearm. In combination with our previous results on Asian skin, these studies allow us to comparatively analyze the difference of intrinsic aging between Caucasian and Asian skin. In comparative analysis between Caucasians and Asians, Caucasian subjects have on average larger scale in the viable epidermis thickness, the cellular size, nuclear size and NC ratio of granular cells, the depth of DPZ, the DP volume per unit area, the collagen volume per unit area, the DP volume ratio and the 3D interdigitation index. The cellular and nuclear sizes of basal cells in Caucasians increase with age with the same trend as in Asians, and the maximum viable epidermis thickness, the depth of DPZ and the DP volume per unit area in Caucasians decrease with age with highly significant difference respect to Asians. Our present findings suggest that the primary factor to result in different aging outlook between Caucasians and Asians is the DPZ-related parameters while the cellular, nuclear size of basal cells can serve as scoring indices for intrinsic skin aging due to their consistency between Caucasians and Asians.
Kumbhar, Dipak Bhikaji. "Development and Applications of Portable Raman Spectroscopy Combined with Artificial Intelligence for Biomedicine." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/6070.
Full textBooks on the topic "In-vivo Skin analysis"
Lackermeier, A. H. A novel multi-channel impedance analyser for the in vivo investigation of the electrical properties of human skin during transdermal drug delivery. [s.l: The Author], 2000.
Find full textBook chapters on the topic "In-vivo Skin analysis"
Preiss, Ivor L., and William Washington. "Skin Thickness Effects on in Vivo LXRF." In Advances in X-Ray Analysis, 607–13. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1797-9_72.
Full textTomura, Michio, and Kenji Kabashima. "Analysis of Cell Movement Between Skin and Other Anatomical Sites In Vivo Using Photoconvertible Fluorescent Protein “Kaede”-Transgenic Mice." In Methods in Molecular Biology, 279–86. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-62703-227-8_18.
Full textFournier, Céline, S. Lori Bridal, and Pascal Laugier. "Application of Short-Time Fourier Multi-Narrowband Analysis to In Vivo Human Skin Between 12 and 25 MHz." In Acoustical Imaging, 167–73. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4419-8606-1_22.
Full textLu-Nguyen, Ngoc, Alberto Malerba, and Linda Popplewell. "Use of Small Animal Models for Duchenne and Parameters to Assess Efficiency upon Antisense Treatment." In Methods in Molecular Biology, 301–13. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2010-6_20.
Full text"Analysis of adhesion contact of human skin in vivo." In Contact Angle, Wettability and Adhesion, Volume 4, 513–26. CRC Press, 2006. http://dx.doi.org/10.1201/b12166-35.
Full textD'Amato, Roberto, and Alessandro Ruggiero. "Skin Tribology." In Technological Adoption and Trends in Health Sciences Teaching, Learning, and Practice, 1–25. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8871-0.ch001.
Full textSeidenari, Stefania. "Ultrasound B-Mode Imaging and In Vivo Structure Analysis." In Handbook of Non-Invasive Methods and the Skin, Second Edition, 493–505. CRC Press, 2006. http://dx.doi.org/10.3109/9781420003307-69.
Full textZhao, Jianhua, Harvey Lui, David I., and Haishan Zeng. "Real-Time Raman Spectroscopy for Noninvasive in vivo Skin Analysis and Diagnosis." In New Developments in Biomedical Engineering. InTech, 2010. http://dx.doi.org/10.5772/7603.
Full textMeyer, Lars, and Juergen Lademann. "Application of In Vivo Scanning Microscopy for Skin Analysis in Dermatology and Cosmetology." In Dermatologic, Cosmeceutic, and Cosmetic Development, 487–96. CRC Press, 2007. http://dx.doi.org/10.3109/9780849375903-30.
Full textBleve, Mariella, Franca Pavanetto, and Paola Perugini. "Solid Lipid Nanoparticles: Technological Developments and in Vivo Techniques to Evaluate Their Interaction with the Skin." In Progress in Molecular and Environmental Bioengineering - From Analysis and Modeling to Technology Applications. InTech, 2011. http://dx.doi.org/10.5772/19290.
Full textConference papers on the topic "In-vivo Skin analysis"
Riemann, I., M. Schwarz, F. Stracke, A. Ehlers, E. Dimitrow, M. Kaatz, K. König, and R. Le Harzic. "New developments in two-photon analysis of human skin in vivo." In SPIE LASE: Lasers and Applications in Science and Engineering, edited by Joseph Neev, Stefan Nolte, Alexander Heisterkamp, and Rick P. Trebino. SPIE, 2009. http://dx.doi.org/10.1117/12.808770.
Full textKnight, Anna E., Adam B. Pely, Felix Q. Jin, Adela R. Cardones, Mark L. Palmeri, and Kathryn R. Nightingale. "Analysis of Factors Affecting Shear Wave Speed in in vivo Skin." In 2019 IEEE International Ultrasonics Symposium (IUS). IEEE, 2019. http://dx.doi.org/10.1109/ultsym.2019.8925965.
Full textMusumeci, Francesco, Luca Lanzanò, Simona Privitera, Salvatore Tudisco, and Agata Scordino. "Spectral analysis of photoinduced delayed luminescence from human skin in vivo." In European Conference on Biomedical Optics. Washington, D.C.: OSA, 2007. http://dx.doi.org/10.1364/ecbo.2007.6633_55.
Full textBevilacqua, A., A. Gherardi, and R. Guerrieri. "In Vivo Quantitative Evaluation of Skin Ageing by Capacitance Image Analysis." In 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05). IEEE, 2005. http://dx.doi.org/10.1109/acvmot.2005.61.
Full textLi, Lisa, and Russell A. Chipman. "Short-wave infrared Mueller matrices and polarization parameters for in vivo skin surface reflectance." In Polarization: Measurement, Analysis, and Remote Sensing XIII, edited by David B. Chenault and Dennis H. Goldstein. SPIE, 2018. http://dx.doi.org/10.1117/12.2305279.
Full textMogilevych, Borys, Laurita dos Santos, Joao L. Rangel, Karen J. S. Grancianinov, Mariane P. Sousa, and Airton A. Martin. "Analysis of the in vivo confocal Raman spectral variability in human skin." In SPIE Biophotonics South America, edited by Cristina Kurachi, Katarina Svanberg, Bruce J. Tromberg, and Vanderlei S. Bagnato. SPIE, 2015. http://dx.doi.org/10.1117/12.2181030.
Full textMusumeci, Francesco, Luca Lanzanò, Simona Privitera, Salvatore Tudisco, and Agata Scordino. "Spectral analysis of photo-induced delayed luminescence from human skin in vivo." In European Conference on Biomedical Optics, edited by Jürgen Popp and Gert von Bally. SPIE, 2007. http://dx.doi.org/10.1117/12.727696.
Full textYow, Ai Ping, Jun Cheng, Annan Li, Ruchir Srivastava, Jiang Liu, Damon Wing Kee Wong, and Hong Liang Tey. "Automated in vivo 3D high-definition optical coherence tomography skin analysis system." In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2016. http://dx.doi.org/10.1109/embc.2016.7591579.
Full textSakai, Shingo, Masahiro Yamanari, Yiheng Lim, Shuichi Makita, Noriaki Nakagawa, and Yoshiaki Yasuno. "In vivo analysis of human skin anisotropy by polarization-sensitive optical coherence tomography." In SPIE BiOS. SPIE, 2011. http://dx.doi.org/10.1117/12.873501.
Full textTran, Sophie, Sergey Zaytsev, Viktoriya Charykova, Munira Yusupova, Alexey Bashkatov, Elina Genina, Valery Tuchin, Walter Blondel, and Marine Amouroux. "Analysis of image features for the characterization of skin optical clearing kinetics performed on in vivo and ex vivo human skin using Linefield-Confocal Optical Coherence Tomography (LC-OCT)." In Optics in Health Care and Biomedical Optics X, edited by Qingming Luo, Xingde Li, Ying Gu, and Dan Zhu. SPIE, 2020. http://dx.doi.org/10.1117/12.2575173.
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