Biomedical Engineering and Bioengineering Commons^™

Implementation Of A Particle Image Velocimetry System For Evaluation Of Microfluidic Chip Flows, Sheila Mallenahalli

Honors Capstones

No abstract provided.

Material Analysis Of A Tympanostomy Myringotomy Simulator, Abishek Stanley

Honors Capstones

No abstract provided.

Analysis Of Cellular Interactions Within A Collagen Hydrogel, Austin N. Worden

Theses and Dissertations

Evidence has arisen over the past several years that use of a three- dimensional (3D) culture system provides a distinct advantage over two- dimensional (2D) systems when cellular interactions are examined in a more natural environment. Changes in morphology, speed, and directionality of cells tested in both planar and 3D matrices have all demonstrated that using 3D system is advantageous. The changes to the cellular migration patterns were shown to be dependent on several variables within the surrounding substrate including cellular content, physical environment, and the matrix chemical milieu. We have taken advantage of using collagen hydrogels as a 3D …

An Anatomical Basis Of The Differential Cholinergic Modulation Of Valence-Specific Pyramidal Neurons In The Basolateral Amygdala, Nguyen Vu

Theses and Dissertations

Emotion is a crucial component of the decision-making process. The amygdala, known as the “orchestrator” of the emotion circuit, associates emotional valence with incoming sensory stimuli and thus contributes to decision- making. Within the basolateral nucleus of the amygdala (BLA), spatially segregated and genetically distinct pyramidal neurons (PNs) have been identified based on their correspondence to distinct behavioral stimuli. These PNs project to several brain regions mediating different aspects of the emotional spectrum.

For example, BLA PNs projecting to prelimbic (PL) and infralimbic (IL) cortex are involved in fear acquisition and fear extinction, respectively. However, the mechanism by which these …

Role Of P-Glycoprotein In Alzheimer’S Disease For Enhanced Brain Elimination Of Amyloid-Β, Hope Holt

Theses and Dissertations

Alzheimer’s disease (AD), the most common form of neurodegenerative disorder, is characterized by deposition of amyloid-β (Aβ) plaques in the brain. Aβ monomer undergoes nucleation to form oligomers, then soluble aggregates, then fibrils which make up the plaques. Aβ oligomer species are believed to be the most neurotoxic aggregate species. Currently under investigation is a mechanism for Aβ removal from the brain, across the blood-brain barrier (BBB). P-glycoprotein (P-gp) is a membrane-bound efflux protein located on the apical, or blood, side of the BBB, which transports a wide variety of substrates. Further complicating this potential clearance mechanism is the reduction …

Rage Expression And Inflammation In Alzheimer’S Disease: In Vitro Model Development And Investigation Of A Potential Peptoid Inhibitor, Lauren Michell Wolf

Theses and Dissertations

Despite the increasing prevalence of Alzheimer’s disease (AD), efforts to establish a definitive treatment or cure have met with little success. Many previous therapeutic strategies for AD have focused on the aggregation and accumulation of amyloid-b (Ab) in the brain, concentrating on its small intermediate aggregates as the primary targets to ameliorate neurotoxicity and damage. This approach has yielded little progress, and more recent discussions have shifted to strategies geared toward a multifaceted pathology, with chronic neuroinflammation emerging as an important factor in the disease etiology and progression.

The receptor for advanced glycation end-products, or RAGE, is …

Experimental Study Of Free-Solution Separation Under Pulsed Electrophoresis In Microchip, Xin Liu

Theses and Dissertations

Microchip electrophoresis (MCE) is a promising analytical tool started more than two decades. With the characteristics of short analysis time, trace level sample, high- throughput and easily integration, lots of efforts have been done with the transportation of the applications from capillary to microfabricated devices. However, with the complex designs on microchip rather than a single straight capillary channel, the strategies and approaches have to be figured out under the challenges of sample introduction, the improvement of separation conditions and the detection, for instance.

In miniaturized microchip, the separation channel is reduced to several centimeters or less, fast and quality …

Generation Of Silver Nanoparticle Pharmacokinetic Profiles In A Lung Model, Rachel Galaska

Honors Theses

Nanomaterial technologies are becoming increasingly prevalent in consumer and industrial applications, including drug delivery, energy harvesting, environmental applications, and medicine due to their unique physiochemical properties. As nanomaterial use increases, so too does human exposure. This has made it progressively more important to understand the toxicological effects of nanomaterials and their interactions with the human body. Silver nanoparticles (AgNPs) are one of the most commonly used nanomaterials due to their antibacterial properties. As inhalation is one of the most common exposure routes, understanding the toxicity of these AgNPs on lung tissue was studied. Using A549 cells for a lung tissue …

Effect Of Activated Carbon On The Performance Of A Solar Thermal Adsorptive Refrigerator (Star) Using Activated Carbon-Ethanol, Joshua Romo

Honors Theses

The Solar Thermal Adsorptive Refrigerator (STAR) project at the University of Dayton seeks to bridge sustainability and the need for reliable refrigeration in developing communities. Cost-effective construction, operation, and maintenance as well as the use of a sustainable adsorption pair, activated carbon-ethanol, give STAR great potential in the realm of humanitarian engineering. This project explores the effect of using two activated carbon brands, 8x16 and CocoPlus, on the cyclic performance of the STAR system. Although both brands have similar specifications given by the manufacturer, one (8x16) inhibited successful performance while the other (CocoPlus) enabled it. This project highlights both the …

Machine Learning Solution To Organ-At-Risk Segmentation For Radiation Treatment Planning, Brie Goo, Katrina May, Haobo Zhang, James Olivas

Interdisciplinary Design Senior Theses

In the treatment of cancer using ionizing radiation, it is important to design a treatment plan such that dose to normal, healthy organs is sufficiently low. Today, segmentation requires a trained human to carefully outline, or segment, organs on each slice of a treatment planning computed tomography (CT) scan but it is laborious, time-consuming, and contains intra- and inter-rater variability. Currently, existing clinical automation technology relies on atlas-based automation, which has limited segmentation accuracy. Thus the auto-segmentations require post process editing by an expert. In this paper, we propose a machine learning solution that shortens the segmentation time of organs-at-risk …

Human-Centered Electric Prosthetic (Help) Hand, Jamie Ferris, Shiyin Lim, Michael Mehta, Evan Misuraca

Interdisciplinary Design Senior Theses

Through a partnership with Indian non-profit Bhagwan Mahaveer Viklang Sahayata Samiti, we designed a functional, robust, and and low cost electrically powered prosthetic hand that communicates with unilateral, transradial, urban Indian amputees through a biointerface. The device uses compliant tendon actuation, a small linear servo, and a wearable garment outfitted with flex sensors to produce a device that, once placed inside a prosthetic glove, is anthropomorphic in both look and feel. The prosthesis was developed such that future groups can design for manufacturing and distribution in India.

Assessment Of Hand Gestures Using Wearable Sensors And Fuzzy Logic, Angel Cardenas, Ryan Messersmith, Will Newcomb

Bioengineering Senior Theses

Hand dexterity and motor control are critical in our everyday lives because a significant portion of the daily motions we perform are with our hands and require some degree of repetition and skill. Therefore, development of technologies for hand and extremity rehabilitation is a significant area of research that will directly help patients recovering from hand debilities sustained from causes ranging from stroke and Parkinson’s disease to trauma and common injuries. Cyclic activity recognition and assessment is appropriate for hand and extremity rehabilitation because a majority of our essential motions are cyclic in their nature. For a patient on the …

Nebuflask: Advancing Usability Of Nebulizers To Increase Patient Compliance, Murray Bartho, Michael Breshock, Megan Nolte

Bioengineering Senior Theses

Nebulizers are ubiquitous in the world of medicine. Any patient diagnosed with asthma, pneumonia, cystic fibrosis, chronic obstructive pulmonary disorder (COPD), or any other severe lung disease often use a nebulizer in order to deliver medication to the lungs. Although these technologies are quite common, they are surprisingly outdated. The most commonly used nebulizers today are bulky, loud, awkward to carry around, and must be plugged into an outlet. These aspects of the nebulizer make it a nuisance to use in general and almost impossible to use outside of the home or clinic. The ultrasonic and mesh nebulizers do address …

High-Throughput, Portable Microfluidic Aptamer Assay, Atticus Mccoy, Matthew Curtin

Bioengineering Senior Theses

Aptamer-based assays are a powerful platform for sensing a wide variety of biochemical targets, including drugs, disease biomarker, and biomolecules. However, aptamer assays often lack rapid identification and high-throughput screening. Performing an aptamer-based assay on a microfluidic device is a promising solution to increase throughput, portability, and sensitivity. In this paper, we present a microfluidic device capable of running aptamer-based assays. Our device utilizes normally-closed valves and a central micropump to move fluids throughout the chip. One chip could theoretically be scaled up to run multiple assays, and multiple of these microfluidic devices could be run in parallel to increase …

Noninvasive Screening Of A Fecal Biomarker For Human Necrotizing Enterocolitis (Nec), Daniela Campa, Kyle Sullivan

Bioengineering Senior Theses

Necrotizing enterocolitis (NEC) is a disease that predominantly affects preterm infants. Of the 10% of preterm neonates that develop NEC, about one in four cases results in death. The pathophysiology presents as inflammation of intestinal epithelial cell lining and subsequent tissue death, sometimes resulting in intestinal perforations. The underlying mechanisms have yet to be comprehensively identified. Diagnosis--the rate limiting step in reducing critical disease-onset-to-treatment time--is based on relatively nonspecific signs, impeding early and accurate diagnosis. This project, a collaborative effort between Santa Clara and Stanford Universities, aims to improve current diagnostic methods by identifying the first verifiable and useful fecal …

Computational Characterization Of The Cellular Origins Of Electroencephalography, Shane Hesprich

Master's Theses (2009 -)

Electroencephalography (EEG) is a non-invasive technique used to measure brain activity. Despite its near ubiquitous presence in neuroscience, very little research has gone into connecting the electrical potentials it measures on the scalp to the underlying network activity which generates those signals. This results in most EEG analyses being more macroscopically focused (e.g. coherence and correlation analyses). Despite the many uses of macroscopically focuses analyses, limiting research to only these analyses neglects the insights which can be gained from studying network and microcircuit architecture. The ability to study these things through non-invasive techniques like EEG depends upon the ability to …

Regularized Fourier Ptychographic Microscopy, Shiqi Xu

McKelvey School of Engineering Graduate Student Theses & Dissertations

Quantitative phase image (QPI) is a popular microscopy technique for studying cell morphology. Recently, Fourier ptychographic microscopy (FPM) has emerged as a low-cost computational microscopy technique for forming high-resolution wide-field QPI images by taking multiple images from different illumination angles. However, the applicability of FPM to dynamic imaging is limited by its high data requirement. In this thesis, we propose new methods for highly compressive FPM imaging using a data-adaptive sparse coding and an online plug-and-play (PnP) method with non-local priors based on the fast iterative shrinkage/threshold algorithm (FISTA). We validate the proposed method on both simulated and experimental data …

A Deep Learning Approach To Detect Diabetic Retinopathy In Fundus Images., Winston R. Furtado

Electronic Theses and Dissertations

Background: Diabetic retinopathy is a disease caused due by complications of diabetes mellitus which can lead to blindness. About 33% of the US population with diabetes also show symptoms for diabetes retinopathy. If not treated, diabetic retinopathy worsens over time by progressing through two main pathological stages of non-proliferative and proliferative and four clinical stages. While the diagnostic accuracy of detecting diabetic retinopathy through machine learning have shown to be successful for OCT images, the accuracy of ultra-widefield fundus images have yet to be fully reported. This paper describes a method to non-invasively detect and diagnose diabetic retinopathy from ultra-widefield …

Estimating Cognitive Workload In An Interactive Virtual Reality Environment Using Electrophysiological And Kinematic Activity, Christoph Tremmel

Biomedical Engineering Theses & Dissertations

As virtual reality (VR) technology continues to gain prominence in commercial, educational, recreational and research applications, there is increasing interest in incorporating physiological sensors in VR devices for passive user-state monitoring to eventually increase the sense of immersion. By recording physiological signals such as the electroencephalogram (EEG), electromyography (EMG) or kinematic parameters during the use of a VR device, the user’s interactions in the virtual environment could be adapted in real time based on the user’s cognitive state. This dissertation evaluates the feasibility of passively monitoring cognitive workload via electrophysiological and kinematic activity while performing a classical n-back task in …

Three-Dimensional Collagen Tubes For In Vitro Modeling, Rebecca Jones

Theses and Dissertations

Collagen type I represents a novel material for three-dimensional in vitro models. While two-dimensional models are typically inadequate for recreating the complex processes of the body, collagen provides a three-dimensional basis with a variety of applications, including remodeling of vascular cells under tension and vascular stenosis. Smooth muscle cells reorganize and reconstruct their environment differently under conditions of tensions, such as with sutures, or under conditions without applied external tension. Vascular stenosis, the abnormal narrowing of blood vessels, arises from defective developmental processes or atherosclerosis-related adult pathologies. Stenosis triggers a series of adaptive cellular responses that induces adverse remodeling, which …