Matching Items (4)
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- All Subjects: BME
- All Subjects: Drug Delivery
- Creators: Caplan, Michael
- Creators: Guiang, Kristoffer
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Status: Published
Description
Imaging analysis of local drug delivery is important because in both studies involving chemotherapy targeted toward glioblastoma and antimicrobial addressing infection, the drug concentration and distribution are unknown. There are a variety of studies focused on the local delivery of drug to a targeted location, but we are presenting a way of quantifying the concentration of the drug and the distribution of the drug during a period of time. This study aims to do that by utilizing Materialise Mimics to analyze the MRI images of local drug delivery in glioblastoma in canines and antimicrobial gel in rabbit femurs. The focus of the technique is to register the anatomy in T1-weighted spin echo images to the drug delivery in T2 flow attenuated inversion recovery (FLAIR) images in order to see where the drug went and did not go relative to the anatomical part. Both studies focus on addressing effective volumes of drug to a designated anatomical area, in which the delivery can be difficult as it involves bypassing the blood brain barrier in the first study and achieving effective volumes while preventing toxicity to the kidneys in the second study. The goal of this project lies in determining the drug volumes and location for the specified duration and anatomical part.
ContributorsJehng, Hope (Author) / Caplan, Michael (Thesis director) / Sirianni, Rachael (Committee member) / Chemical Engineering Program (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The use of saliva sampling as a noninvasive way for drug analysis as well as the monitoring systems within the body has become increasingly important in recent research. Because of the growing interest in saliva, this project proposes a way to analyze sodium ion concentration in a saliva solution based on its fluorescence level when in the presence of a sodium indicator dye and recorded with a smartphone camera. The dyed sample was placed in a specially designed housing to exclude all ambient light from the images. A source light of known wavelength was used to excite the fluorescent dye and the smartphone camera images recorded the emission light wavelengths. After analysis of the images using ImageJ, it was possible to create a model to determine the level of fluorescence based on sodium ion concentration. The smartphone camera image model was compared to readings from a standard fluorescence plate recorder to test the accuracy of the model. The study found that the model was accurate within 5 % as compared to the fluorescence plate recorder. Based on the results, it was concluded that the method and resulting model proposed in this study is a valid was to analyze saliva or other solutions for their sodium ion concentration via images recorded by a smartphone camera.
ContributorsSmith, Catherine Julia (Author) / Antonio, Garcia (Thesis director) / Caplan, Michael (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2014-05
Description
The action/adventure game Grad School: HGH is the final, extended version of a BME Prototyping class project in which the goal was to produce a zombie-themed game that teaches biomedical engineering concepts. The gameplay provides fast paced, exciting, and mildly addicting rooms that the player must battle and survive through, followed by an engineering puzzle that must be solved in order to advance to the next room. The objective of this project was to introduce the core concepts of BME to prospective students, rather than attempt to teach an entire BME curriculum. Based on user testing at various phases in the project, we concluded that the gameplay was engaging enough to keep most users' interest through the educational puzzles, and the potential for expanding this project to reach an even greater audience is vast.
ContributorsNitescu, George (Co-author) / Medawar, Alexandre (Co-author) / Spano, Mark (Thesis director) / LaBelle, Jeffrey (Committee member) / Guiang, Kristoffer (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2014-05
Description
The concentration necessary to kill bacterial biofilms with antimicrobials is the minimum biofilm eradication concentration (MBEC). This is usually determined using an in vitro approach and will vary within different strains of bacteria. Biomedical implants produce biofilm-related infections presenting a unique challenge due to the combination of subpopulations of the bacterial community and the polysaccharide matrix presented by biofilms. The purpose of this investigation is to determine how exposure times in the order of weeks to months affect the MBEC. Using an in vitro approach, Staphylococcus aureus (UAMS-1) and methicillin-resistant Staphylococcus aureus (MRSA) biofilms were produced with a 24 hour growth time and exposed to two antimicrobials, tobramycin and vancomycin, and one combination treatment that consisted of 1:1 tobramycin: vancomycin by weight. Crystal violet screening was used in order to ensure the integrity of the biofilm matrix throughout the full time of exposure. It was determined that UAMS-1 MBECs were lowered after 56 days of exposure than after 5 days for all three treatment groups. MRSA MBECs after 5 days of exposure decreased only with in vancomycin treatment group.
ContributorsSteinhauff, Douglas Busch (Author) / Caplan, Michael (Thesis director) / Overstreet, Derek (Committee member) / Castaneda, Paulo (Committee member) / Materials Science and Engineering Program (Contributor) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05