Literature DB >> 21102733

Sources of contrast in confocal reflectance imaging.

A K Dunn, C Smithpeter, A J Welch, R Richards-Kortum.   

Abstract

The relationship between optical properties and image contrast in confocal imaging is investigated. A Monte Carlo simulation has been developed to analyze the effects of changes in scattering, index of refraction, and absorption in a three-layer medium. Contrast was calculated from the computed signal-to-background ratios for changes in tissue optical properties. Results show that the largest source of contrast is changes in refractive index.

Year:  1996        PMID： 21102733     DOI： 10.1364/AO.35.003441

Source DB:  PubMed          Journal:  Appl Opt        ISSN： 1559-128X            Impact factor:   1.980


  14 in total

1.  Reflection-contrast limit of fiber-optic image guides.

Authors:  Pierre M Lane; Calum E MacAulay
Journal:  J Biomed Opt       Date:  2009 Nov-Dec       Impact factor: 3.170

2.  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

3.  Fluorescence lifetime imaging and reflectance confocal microscopy for multiscale imaging of oral precancer.

Authors:  Joey M Jabbour; Shuna Cheng; Bilal H Malik; Rodrigo Cuenca; Javier A Jo; John Wright; Yi-Shing Lisa Cheng; Kristen C Maitland
Journal:  J Biomed Opt       Date:  2013-04       Impact factor: 3.170

4.  Quantitative characterization of mineralized silk film remodeling during long-term osteoblast-osteoclast co-culture.

Authors:  Rebecca S Hayden; Kyle P Quinn; Carlo A Alonzo; Irene Georgakoudi; David L Kaplan
Journal:  Biomaterials       Date:  2014-01-29       Impact factor: 12.479

5.  Hypertrophic phenotype in cardiac cell assemblies solely by structural cues and ensuing self-organization.

Authors:  Chiung-yin Chung; Harold Bien; Eric A Sobie; Vikram Dasari; David McKinnon; Barbara Rosati; Emilia Entcheva
Journal:  FASEB J       Date:  2010-11-17       Impact factor: 5.191

6.  A fully automated approach to quantitatively determine thickness of tissue-engineered cell sheets.

Authors:  Jeffrey T LaCroix; Jinjun Xia; Mark A Haidekker
Journal:  Ann Biomed Eng       Date:  2009-04-17       Impact factor: 3.934

Review 7.  Optical-Based Analysis of Soft Tissue Structures.

Authors:  Will Goth; John Lesicko; Michael S Sacks; James W Tunnell
Journal:  Annu Rev Biomed Eng       Date:  2016-07-11       Impact factor: 9.590

8.  Chromatic confocal microscopy for multi-depth imaging of epithelial tissue.

Authors:  Cory Olsovsky; Ryan Shelton; Oscar Carrasco-Zevallos; Brian E Applegate; Kristen C Maitland
Journal:  Biomed Opt Express       Date:  2013-04-16       Impact factor: 3.732

9.  Combined influences of chromatic aberration and scattering in depth-resolved two-photon fluorescence endospectroscopy.

Authors:  Yicong Wu; Xingde Li
Journal:  Biomed Opt Express       Date:  2010-10-27       Impact factor: 3.732

10.  A pulse coupled neural network segmentation algorithm for reflectance confocal images of epithelial tissue.

Authors:  Meagan A Harris; Andrew N Van; Bilal H Malik; Joey M Jabbour; Kristen C Maitland
Journal:  PLoS One       Date:  2015-03-27       Impact factor: 3.240
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