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Smart Phone Camera Used to Determine Ion Concentration in Saliva Based on Fluorescence Level

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…

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

Grad School: Human Growth Horror - Creative Project Entry of an Action/Adventure Computer Game Designed to Experimentally Demonstrate Viable Engineering Concepts for Educational Purposes

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,…

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
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Modeling SDF-1α Chemotactic Gradient Formation After Traumatic Brain Injury

Description
Traumatic brain injury (TBI) is a leading cause of injury related death in the United States. The complexity of the injury environment that follows TBI creates an incomplete understanding of all the mechanisms in place to regulate chemotactic responses to TBI. The goal of this project was to develop a…

Traumatic brain injury (TBI) is a leading cause of injury related death in the United States. The complexity of the injury environment that follows TBI creates an incomplete understanding of all the mechanisms in place to regulate chemotactic responses to TBI. The goal of this project was to develop a predictive in silco model using diffusion and autocrine/paracrine signaling specific to stromal cell derived factor-1α (SDF-1α) gradient formation after TBI and compare this model with in vivo experimental data. A COMSOL model using Fickian diffusion and autocrine/paracrine reaction terms was generated to predict the gradient formation observed in vivo at three physiologically relevant time points (1, 3, and 7 days). In vivo data was gathered and analyzed via immunohistochemistry and MATLAB. The spatial distribution of SDF-1α concentration in vivo more consistently demonstrated patterns similar to the in silico model dependent on both diffusion and autocrine/paracrine reaction terms rather than diffusion alone. The temporal distribution of these same results demonstrated degradation of SDF-1α at too rapid a rate, compared to the in vivo results. To account for differences in behavior observed in vivo, reaction terms and constants of 1st-order reaction rates must be modulated to better reflect the results observed in vivo. These results from both the in silico model and in vivo data support the hypothesis that SDF-1α gradient formation after TBI depends on more than diffusion alone. Future work will focus on improving the model with constants that are specific to SDF-1α as well as testing methods to better control the degradation of SDF-1α.
ContributorsFreeman, Sabrina Louise (Author) / Stabenfeldt, Sarah (Thesis director) / Caplan, Michael (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05