UROP Proceedings 2020-21

School of Engineering Department of Chemical and Biological Engineering 88 Development of a Deep Learning Approach for Transferring Gray-Scale Images Acquired from Photoacoustic Imaging to Histological-Stained Images Supervisor: WONG Tsz Wai / CBE Student: KOBASHI Minato / BIEN Course: UROP1100, Summer We investigate supervised deep learning as a method to enhance resolution of tissue images. High-resolution microscopic tissue images are often difficult to obtain due to limited penetration depth and requiring expensive imaging devices. Conditional adversarial networks can be trained to learn a loss function on its own through a conditional setting which makes this network a generalized solution for problems that require complex loss functions. We borrow the idea from a pix2pix software and introduced two main components to our network, U-Net generator and PatchGAN discriminator as our adversarial network. In this report, we have shown that our conditional adversarial networks are capable of generating higher resolution tissue images. Mask but not the Least Supervisor: YEUNG King Lun / CBE Student: BALAJI Kavya Geetha / DSCT KANDWAL Inika / EVMT Course: UROP1100, Spring UROP1100, Spring The COVID-19 pandemic has not only affected and hindered our daily lives, or the environment today, but has asked us to seriously consider the environmental impacts of our lifestyle choices. A prominent issue at the moment is the unattended disposal of face masks, around 129 billion face masks every month. These discarded face masks pose several environmental, social and health issues. This paper outlines a detailed process of collecting, disinfecting and repurposing disposable masks on campus to create products of highvalue and function as well as using them to raise awareness around the importance of proper mask disposal. Mask but not the Least Supervisor: YEUNG King Lun / CBE Student: BALAJI Kavya Geetha / DSCT KANDWAL Inika / EVMT Course: UROP2100, Summer UROP2100, Summer The COVID-19 pandemic has not only affected and hindered our daily lives, or the environment today, but has asked us to seriously consider the environmental impacts of our lifestyle choices. A prominent issue at the moment is the unattended disposal of face masks, around 129 billion face masks every month. This paper explores the creation of composite prototypes using shredded mask waste and other waste materials (paper, natural fibres etc) to create load-bearing, water resistant and aesthetic material. We aim to create products of high-value and function as well as using them to raise awareness around the importance of proper mask disposal.

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