Literature DB >> 19067964

Reflectance confocal microscopy for in vivo skin imaging.

Piergiacomo Calzavara-Pinton1, Caterina Longo, Marina Venturini, Raffaella Sala, Giovanni Pellacani.   

Abstract

Reflectance confocal microscopy (RCM) is a novel noninvasive technique for "in vivo" examination of the skin. In a confocal microscope, near- infrared light from a diode laser is focused on a microscopic skin target. As this light passes between cellular structures having different refraction indexes, it is naturally reflected, and this reflected light is then captured and recomposed into a two-dimensional gray scale image by computer software. Focusing the microscope (adjusting the focal point on the z-axis) allows images to be obtained of different levels within the skin. Commercially available microscope systems of this type can create images with enough detail for use in histological analysis. The first investigations using these microscopes served to identify the appearance of the various cell populations living in the different layers of normal skin. Today, the main interest has become focused on the use of these microscopes as a diagnostic tool: a means of investigating benign and malignant tumors of melanocytes and keratinocytes, and, more importantly, the findings of this field of study can be used to develop a diagnostic algorithm which would be not only highly sensitive but specific as well. The aim of the paper is to provide an updated literature review and an in-depth critique of the state-of-the-art of RCM for skin cancer imaging with a critical discussion of the possibilities and limitations for clinical use.

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Year:  2008        PMID: 19067964     DOI: 10.1111/j.1751-1097.2008.00443.x

Source DB:  PubMed          Journal:  Photochem Photobiol        ISSN: 0031-8655            Impact factor:   3.421


  38 in total

Review 1.  Noninvasive assessment of burn wound severity using optical technology: a review of current and future modalities.

Authors:  Meghann Kaiser; Amr Yafi; Marianne Cinat; Bernard Choi; Anthony J Durkin
Journal:  Burns       Date:  2010-12-23       Impact factor: 2.744

2.  Pilot study of semiautomated localization of the dermal/epidermal junction in reflectance confocal microscopy images of skin.

Authors:  Sila Kurugol; Jennifer G Dy; Dana H Brooks; Milind Rajadhyaksha
Journal:  J Biomed Opt       Date:  2011-03       Impact factor: 3.170

3.  In vivo label-free confocal imaging of the deep mouse brain with long-wavelength illumination.

Authors:  Fei Xia; Chunyan Wu; David Sinefeld; Bo Li; Yifan Qin; Chris Xu
Journal:  Biomed Opt Express       Date:  2018-11-29       Impact factor: 3.732

4.  Three-dimensional conditional random field for the dermal-epidermal junction segmentation.

Authors:  Julie Robic; Benjamin Perret; Alex Nkengne; Michel Couprie; Hugues Talbot
Journal:  J Med Imaging (Bellingham)       Date:  2019-04-29

5.  Handheld optical-resolution photoacoustic microscopy.

Authors:  Li Lin; Pengfei Zhang; Song Xu; Junhui Shi; Lei Li; Junjie Yao; Lidai Wang; Jun Zou; Lihong V Wang
Journal:  J Biomed Opt       Date:  2017-04-01       Impact factor: 3.170

6.  Quantitative monitoring of laser-treated engineered skin using optical coherence tomography.

Authors:  Yujin Ahn; Chan-Young Lee; Songyee Baek; Taeho Kim; Pilun Kim; Sunghoon Lee; Daejin Min; Haekwang Lee; Jeehyun Kim; Woonggyu Jung
Journal:  Biomed Opt Express       Date:  2016-02-24       Impact factor: 3.732

Review 7.  Imaging Techniques for Clinical Burn Assessment with a Focus on Multispectral Imaging.

Authors:  Jeffrey E Thatcher; John J Squiers; Stephen C Kanick; Darlene R King; Yang Lu; Yulin Wang; Rachit Mohan; Eric W Sellke; J Michael DiMaio
Journal:  Adv Wound Care (New Rochelle)       Date:  2016-08-01       Impact factor: 4.730

8.  Semi-automated Algorithm for Localization of Dermal/ Epidermal Junction in Reflectance Confocal Microscopy Images of Human Skin.

Authors:  Sila Kurugol; Jennifer G Dy; Milind Rajadhyaksha; Kirk W Gossage; Jesse Weissman; Dana H Brooks
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2011

9.  Wavelet-based statistical classification of skin images acquired with reflectance confocal microscopy.

Authors:  Abdelghafour Halimi; Hadj Batatia; Jimmy Le Digabel; Gwendal Josse; Jean Yves Tourneret
Journal:  Biomed Opt Express       Date:  2017-11-08       Impact factor: 3.732

10.  Quantitative Analysis on Ex Vivo Nonlinear Microscopy Images of Basal Cell Carcinoma Samples in Comparison to Healthy Skin.

Authors:  Norbert Kiss; Dóra Haluszka; Kende Lőrincz; Nóra Gyöngyösi; Szabolcs Bozsányi; András Bánvölgyi; Róbert Szipőcs; Norbert Wikonkál
Journal:  Pathol Oncol Res       Date:  2018-07-06       Impact factor: 3.201

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