UROP Proceedings 2020-21

School of Engineering Department of Mechanical and Aerospace Engineering 174 Development of AI-based Smartphone Microscopy system for Identification of Algal species for Environmental Protection Supervisor: LEE Yi-Kuen / MAE Student: THIESMAN Wilson / SENG Course: UROP1000, Summer Algal blooms have been a critical problem to the marine environment. It poses significant challenges to water security, fishing management, and the food-chain of the marine ecosystem. Although several protocols are available to tackle this problem, they exhibit high amount of cost which prevent us to increase the accessibility of using these protocols, especially in rural areas. This problem indicates that a cheaper and more efficient method is required to solve this problem even further. This report focuses on developing a low-cost microscope to identify algal species based on their characteristics. Furthermore, we utilize the Raspberry Pi computer and python as the fundamental of our project and use an autofocusing camera manufactured by ArduCam Company to enhance the performance of our microscope. Development of low-cost rapid pathogen detection microsystem in COVID-19 Pandemic: Micro PCR module- Bioengineering Approach Supervisor: LEE Yi-Kuen / MAE Student: FERNANDO Lindamulage Yasiru Hansaja / SENG Course: UROP1000, Summer With the COVID-19 pandemic still at large, with over 210 million confirmed cases worldwide and 4.4 million deaths as of August 2021, rapid and constant testing has become vital at stopping the spread of this pandemic and future pandemics. Thereby, it is vitally important to identify new methodologies by which we can reduce the cost per test and the testing time. This is where Electro-Gated FET Biosensors (EGFET), which are an iteration of the popular ISFET but with a discrete setup of the gate material in such a way that it can be replaced after its lifetime, comes into play as they provide a cheaper and faster alternative to the detection of target DNA strands. The primary focus of this report is to understand the structure and process that facilitates the usage of EGFETs and EIS in DNA detection and the relevant factors in optimizing this sensor. Development of low-cost rapid pathogen detection microsystem in COVID-19 Pandemic: Micro PCR module- Bioengineering Approach Supervisor: LEE Yi-Kuen / MAE Student: LAU Siu Man / AE Course: UROP1000, Summer For detecting the COVID-19 pathogens, only little amount of DNA is present in the sample. It is not enough for undergoing testing, so a duplication of DNA amount is required. In medical firms, PCR is done in order to increase the amount of DNA to be tested. PCR requires heating of sample to certain temperature and stay for certain period of time, then cool down to another temperature and remain certain period of time. In this UROP period, I have learnt to use COMSOL for different stimulation. This report will talk about the final stimulation done for heating up some sample using a kit provided by the team.

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