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EARDA ABSTRACTS
ECIS Measurements in Electroconductive Polymers Using Human Muscle Fibroblasts Tarun Saxenaa, Sheena Abrahamb, Anthony Guiseppi-Elieb, Nasser Gharibanc Abstract: Electric cell substrate sensing (ECIS) was used to interrogate the impedance profiles of composites of conducting polypyrrole (PPy) formulated within cross-linked poly (2-Hydroxyethylmethacrylate) (p-HEMA) based hydrogels .Human muscle fibroblasts were cultured atop these composites and viability and proliferation data was collected using a hemocytometer to monitor biocompatibility of these bioactive polymers. ECIS interrogation was performed for 3 days to monitor cell growth. Also, the hydration profiles of p-HEMA hydrogels incorporated with varying methacryloyloxyethyl phosphorlycholine (MPC) [0-10 mol%] and poly (ethylene glycol) (200) monomethacrylate (PEGMA)[0.0-0.5 mol%] were studied using ECIS. The observed constancy of impedance response of hydration graphs offers a promising approach for development and application in cell-based sensing. An excellent area of application is that of microfluidic cell-based sensors with well-positioned recording sites for cell, virus, and bacterial adhesion. Genomic Signal Processing Shevis D. Wimbush*, Ehsan Sheybani, Ph.D.†, Shobha Sriharan, Ph.D. †‡, † Departments of Engineering and Technology and †‡ Agriculture&Human Ecology, VirginiaState University, Petersburg, VA23806 Abstract: Recent methods facilitate large-scale surveys of gene and protein expression in which transcript levels can be determined for thousands of genes simultaneously. In particular, expression microarrays result from a biochemical-optical system incorporating robotic spotting and computer image formation and analysis. Analytical tools are required to detect and model the decision-making processes of genetic networks. Owing to the major role played in genomics by transcriptional signaling and the related pathway modeling, it is only natural that the theory of signal processing should be utilized in both structural and functional understanding. In particular, Genomic Signal Processing (GSP) aims to integrate the theory and methods of signal processing with the global understanding of functional genomics, with special emphasis on genomic regulation. Since genes execute their functions via both transcription and translation (protein formation), a comprehensive understanding of how the genome controls the development and functioning of cells requires the study of both genomics and proteomics. This presentation is aimed at applying signal processing methods in the area of systems biology relating to genomics and proteomics. While this certainly includes GSP, it also includes processing genomic signals and extends to applications related to genomics and proteomics. The goal is to provide a broad overview of a genomic or proteomic problem raising interesting questions to the signal processing community.
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