This presentation seeks to compare three bacterial inhibitory concentration mode
This presentation seeks to compare three bacterial inhibitory concentration models – the MIC assay, CDC Biofilm reactor, and a new model developed in the Bone and Biofilm lab as well as explore the scope of the problem with biofilm. Understanding the importance of biofilm’s role in antibiotic treatment is vital because preventing antibiotic resistance requires overcoming the natural defenses of biofilm. For this reason, biofilm-related infections are a large burden on healthcare system.
Identifying cancer cell death during in vitro drug testing using machine learning
Presenter Name: Sara Morrison
In association with the Zangle Lab, this project aimed to develop a binary classification method to distinguish between dead and living tumor cells undergoing drug treatment. Several machine learning algorithms were trained on manually identified dead cell data, and were able to accurately identify dead cells.
Effects of Surfactants in Bio-Liquid-Based Slurries
Presenter Name: Ashton Phelps
Hydrogen is a promising energy source with many uses. However, many issues surround its production. Entrained Flow Gasification (EFG) can help this problem as it processes hydrocarbon-rich liquids and converts them into syngas, which is used for hydrogen production. One of the problems facing EFG is the mixture’s viscosities being too high for processing in gasifiers. Viscosity-decreasing additives may help solve this problem. The effects of these additives are the scope of my research.
Read Out Label Optimization for Lateral Flow Assay to Detect CMV
Presenter Name: Alex Altherr
Creating a cost-effective diagnostic test for congenital cytomegalovirus infections has been the goal, as an alternative to the time-consuming and labor-intensive PCR tests. A few factors must be considered to optimize a vertical or lateral flow device. Golden nanoparticle size, along with antibody selection are a couple examples of factors to be considered. By utilizing Raman spectroscopy and Ultraviolet-visible spectroscopy we can obtain a quantitative result of the assays, to optimize.
Electroaerodynamic Pumps for Silent, Solid-State, and Direct Electronics Cooling
Presenter Name: Quinna Nguyen
Electroaerodynamic (EAD) actuators utilizes a DC corona discharge to ionize the air locally around lithographically defined “emitter” tips and accelerates the ions towards a “collector”. This process generates an entrained airflow through momentum-transferring collisions between accelerated ions and neutral air molecules. The mechanism is attractive because it is silent, solid-state, and highly down scalable. We plan on using this wind for pinpoint thermal convection cooling.
Strategies for Downsampling Electromyographic Signals for Low-Power Wearables
Presenter Name: Josh Gubler
Electromyographic (EMG) signals are a measure of the electrical activity within muscles when they contract and are use in the control of prostheses, robotics, exoskeletons, and human-computer interfaces. Most of the power in