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ABSTRACT

Image Analysis of Gold Nanoparticle Sizes Sophie Li Department of Industrial Engineering. 2013 Individual Research Project - Young Scholars Program. ABSTRACT. GRAPHICAL VISUALIZATION. NANOPARTICLE IMAGES.

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ABSTRACT

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  1. Image Analysis of Gold Nanoparticle Sizes Sophie Li Department of Industrial Engineering 2013 Individual Research Project - Young Scholars Program ABSTRACT GRAPHICAL VISUALIZATION NANOPARTICLEIMAGES Gold nanoparticles of a certain uniform size are attracted to cancer cells. They can be heated using certain wavelengths of light to kill the diseased cells. In addition to cancer treatment, gold nanoparticles can be used in other areas, such as manufacturing advanced materials, energy consumption. However, nanoparticle synthesis needs to produce consistent results so that the particles can be used for further experiments. The images taken of the resulting nanoparticles have to be processed and analyzed to determine any discrepancies in size and shape. The study uses an image processing algorithm to measure the size of these nanoparticles. Afterwards, the study compares histograms of each individual image based on the nanoparticles’ radii in each image. RESULTS MOTIVATION CONCLUSIONS • Analysis of nanoparticle self-assembly process for more statistically robust estimates of particle sizes and shapes • Characterization of nanoparticle sizes to determine relation between sizes over different images • Development of a consistent nanoparticle analysis program • The program works well for clear images with great contrast. • Images that are too blurry or have similar colors cannot use the program to calculate nanoparticle radii without further image processing. • The Watershed segmentation method cannot completely separate particles under certain circumstances. METHODOLOTY FUTUREWORK • Image filtering and removal of background noise • Watershed image segmentation • Centroid calculation and numbering of individual nanoparticles • Area calculation of nanoparticles to determine radii • Histogram analysis of radii distribution across images • Further development of image segmentation processes • Better image filtering algorithms • Streamlining the program to make it run faster ACKNOWLEDGMENTS The Young Scholars Program

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