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Using a Novel Image Processing Method to Investigate Superparamagnetic Nanoparticle Concentration Fluctuations

David Dorf, Patrick Simonson, Sorinel Oprisan and Ana Oprisan, Department of Physics and Astronomy, College of Charleston, 66 George St, Charleston, SC 29424

Iron oxide (Fe2O3) colloidal suspensions of nanoparticles display many interesting properties and have many applications in the biomedical industry, specifically in drug targeting. Since these particles are superparamagnetic, it is possible that we could coat a drug with a layer of these particles and direct them towards a target area with an applied magnetic field. In this experiment, we aimed to determine the diffusion coefficient of these nanoparticles in a colloid solution with water, using a shadowgraph method. Using image-processing methods, we first separate different spatial scales from the original images using the novel Bidimensional Empirical Mode Decomposition (BEMD) technique. The spatial scale represented by an Intrinsic Mode Function (IMF) image was analyzed using the Dynamic Differential Method (DDM). Based on these methods we compared the structure factor, correlation time, power-law exponents and we can calculate diffusion coefficients for different (IMF) sets of images.  Understanding these nanoparticles could have wide applications on medical vectors, cancer treatment, and gene therapy. 




Additional Abstract Information

Presenter: David Dorf

Institution: College of Charleston

Type: Poster

Subject: Physics/Astronomy

Status: Approved


Time and Location

Session: Poster 9
Date/Time: Wed 12:00pm-1:00pm
Session Number: 6143