Share Email Print
cover

Proceedings Paper

Monte Carlo simulation of zinc protoporphyrin fluorescence in the retina
Author(s): Xiaoyan Chen; Stephen Lane
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We have used Monte Carlo simulation of autofluorescence in the retina to determine that noninvasive detection of nutritional iron deficiency is possible. Nutritional iron deficiency (which leads to iron deficiency anemia) affects more than 2 billion people worldwide, and there is an urgent need for a simple, noninvasive diagnostic test. Zinc protoporphyrin (ZPP) is a fluorescent compound that accumulates in red blood cells and is used as a biomarker for nutritional iron deficiency. We developed a computational model of the eye, using parameters that were identified either by literature search, or by direct experimental measurement to test the possibility of detecting ZPP non-invasively in retina. By incorporating fluorescence into Steven Jacques' original code for multi-layered tissue, we performed Monte Carlo simulation of fluorescence in the retina and determined that if the beam is not focused on a blood vessel in a neural retina layer or if part of light is hitting the vessel, ZPP fluorescence will be 10-200 times higher than background lipofuscin fluorescence coming from the retinal pigment epithelium (RPE) layer directly below. In addition we found that if the light can be focused entirely onto a blood vessel in the neural retina layer, the fluorescence signal comes only from ZPP. The fluorescence from layers below in this second situation does not contribute to the signal. Therefore, the possibility that a device could potentially be built and detect ZPP fluorescence in retina looks very promising.

Paper Details

Date Published: 26 February 2010
PDF: 12 pages
Proc. SPIE 7572, Optical Diagnostics and Sensing X: Toward Point-of-Care Diagnostics, 75720G (26 February 2010); doi: 10.1117/12.840759
Show Author Affiliations
Xiaoyan Chen, Univ. of California, Davis (United States)
Stephen Lane, Univ. of California, Davis (United States)


Published in SPIE Proceedings Vol. 7572:
Optical Diagnostics and Sensing X: Toward Point-of-Care Diagnostics
Gerard L. Coté, Editor(s)

© SPIE. Terms of Use
Back to Top