Literature DB >> 18163836

Simulation of a theta line-scanning confocal microscope.

Blair Simon1, Charles A Dimarzio.   

Abstract

We describe a 2-D computational model of the optical propagation of coherent light from a laser diode within human skin to better understand the performance of a confocal reflectance theta microscope. The simulation uses finite-difference time domain (FDTD) computations to solve Maxwell's equations in a synthetic skin model that includes melanin, mitochondria, and nuclei. The theta line-scanning confocal microscope configuration experiences more localized decreases in the signal than the confocal common-path point-scanning microscope. We hypothesize that these decreases result from the bistatic imaging configuration, the imaging geometry, and the inhomogeneity of the index of refraction of the skin. All these factors result in the source path having aberrations different than those of the receiver path. The model predicts signal decreases that are somewhat greater than those seen in experiments. New details on the reflection from a spherical object show that imaging with the theta line scanner leads to somewhat different results than would be seen with a common-path point scanner. The model is used to optimize the design of the theta line-scanning confocal microscope.

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Year:  2007        PMID: 18163836     DOI: 10.1117/1.2821425

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  6 in total

1.  Optimizing the performance of dual-axis confocal microscopes via Monte-Carlo scattering simulations and diffraction theory.

Authors:  Ye Chen; Jonathan T C Liu
Journal:  J Biomed Opt       Date:  2013-06       Impact factor: 3.170

2.  Assessing the tissue-imaging performance of confocal microscope architectures via Monte Carlo simulations.

Authors:  Ye Chen; Danni Wang; Jonathan T C Liu
Journal:  Opt Lett       Date:  2012-11-01       Impact factor: 3.776

3.  Fractal propagation method enables realistic optical microscopy simulations in biological tissues.

Authors:  Adam K Glaser; Ye Chen; Jonathan T C Liu
Journal:  Optica       Date:  2016       Impact factor: 11.104

4.  Optimization of pupil design for point-scanning and line-scanning confocal microscopy.

Authors:  Yogesh G Patel; Milind Rajadhyaksha; Charles A Dimarzio
Journal:  Biomed Opt Express       Date:  2011-07-08       Impact factor: 3.732

Review 5.  Melanins as Sustainable Resources for Advanced Biotechnological Applications.

Authors:  Hanaa A Galeb; Emma L Wilkinson; Alison F Stowell; Hungyen Lin; Samuel T Murphy; Pierre L Martin-Hirsch; Richard L Mort; Adam M Taylor; John G Hardy
Journal:  Glob Chall       Date:  2020-11-25

6.  A coherent model for turbid imaging with confocal microscopy.

Authors:  Christopher E Glazowski; James Zavislan
Journal:  Biomed Opt Express       Date:  2013-03-04       Impact factor: 3.732

  6 in total

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