Literature DB >> 16363066

Imaging melanoma in a murine model using reflectance-mode confocal scanning laser microscopy and polarized light imaging.

Daniel S Gareau1, James Lagowski, Vincent M Rossi, John A Viator, Glenn Merlino, Molly Kulesz-Martin, Steven L Jacques.   

Abstract

The light-scattering properties of cutaneous tissues provide optical contrast for imaging the presence and depth of pigmented melanoma in a highly pigmented murine model, the C57/B6 mouse. Early lesions are difficult to identify when viewing black lesions on a black mouse. Two methods were used to image early lesions in this model. (1) A reflectance-mode confocal scanning laser microscope (rCSLM) was built to provide horizontal images (x-y at depth z) and transverse images (x-z at position y) non-invasively in the living mouse. (2) A polarized light imaging (PLI) camera was built using a linearly polarized white light source that viewed the skin through an analyzing linear polarizer oriented either parallel or perpendicular to the illumination's polarization to yield two images, "PAR" and "PER," respectively. The difference image, PAR-PER, eliminated multiply scattered light and yielded an image of the superficial but subsurface tissues based only on photons scattered once or a few times so as to retain their polarization. rCSLM could image melanoma lesions developing below the epidermis. PLI could distinguish superficial from deeper melanoma lesions because the melanin of the superficial lesions attenuated the PAR-PER image, whereas deeper lesions failed to attenuate the PAR-PER image.

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Year:  2005        PMID: 16363066     DOI: 10.1111/j.1087-0024.2005.200408.x

Source DB:  PubMed          Journal:  J Investig Dermatol Symp Proc        ISSN: 1087-0024


  1 in total

1.  Photoacoustic discrimination of vascular and pigmented lesions using classical and Bayesian methods.

Authors:  Jennifer A Swearingen; Scott H Holan; Mary M Feldman; John A Viator
Journal:  J Biomed Opt       Date:  2010 Jan-Feb       Impact factor: 3.170

  1 in total

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