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Modeling and Analysis of Particle Dispersal in Tissue Phantoms
EP21743
Poster Title: Modeling and Analysis of Particle Dispersal in Tissue Phantoms
Submitted on 24 Mar 2014
Author(s): Cicily J. Ronhovde and M. Lei Geng
Affiliations: University of Iowa, Department of Chemistry
This poster was presented at Pittcon 2014
Poster Views: 1,078
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Poster Information
Abstract: Tissue phantoms are synthetic imitations of biological tissue that mimic specific characteristics such as optical, acoustic, thermal, or mechanical properties. These properties can be adjusted in the synthetic material to simulate disease progression. Of particular interest for cancer diagnosis, the spectroscopic properties of tissue – scattering, absorbance, and fluorescence – can be modeled in a phantom by incorporating fluorescent biomolecules that are indicative of metabolic rate. These phantoms could be used to develop a highly sensitive, non-invasive optical method of cancer detection. Mesoporous silica particles functionalized with octadecylsilane – suspended in agar – were selected as a loading platform for fluorophores because these particles provide biochemically well-defined micrometer and nanometer domains due to hydrophobic trapping of loaded molecules.

Uniformity of the tissue phantom samples that are used to calibrate an optical device is critical to the development of a robust diagnostic methodology. One barrier to generating uniform phantoms is the tendency of hydrophobic particles to aggregate in agar, the aqueous suspension matrix. Current efforts to disperse particles include surfactant coating and various methods of physical dispersion. An analysis method utilizing the pair correlation function has been developed to quantify particle clustering as a means of evaluating the particle dispersal in the resulting tissue phantoms. Different particle dispersal patterns – clustered, uniform, and random – are distinguishable based on characteristic features produced in the pair correlation function. The robustness of the mathematical analysis of the confocal microscopy phantom images is established using simulated images with various dispersal patterns. This work is funded by the NIH and the University of Iowa’s Center for Biocatalysis and Bioprocessing.
Summary: An analysis method using the pair correlation function was developed to clearly distinguish between clustered and dispersed systems and was applied to tissue phantoms - synthetic imitations of biological tissue we use to mimic the spectroscopic properties of cancerous tissue. These phantoms could be used to develop a highly sensitive, non-invasive optical method of cancer detection. A procedure for easily dispersing particles in the phantoms was verified using the developed analysis method.References: Report abuse »
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