# DE Seminar: Undergraduate Student Presentations

Location

Mathematics/Psychology : 401

Date & Time

May 2, 2022, 11:00 am – 12:00 pm

Description

**Speaker 1:**Michelle Ramsahoye (Advisor: Matthias Gobbert)

**Deep Fully Connected Residual Neural Network for Initial Energy Estimations ofTitle: **

Compton Camera Based Prompt Gamma Imaging Data for Proton Radiotherapy

**Abstract:**Proton radiotherapy uses a beam of protons to irradiate cancer tissue. It is an effective means of therapy whose dosage is characterized by the “Bragg peak”, which is a point of

**Speaker 2:**Christina Dee (Advisor: Brad Peercy)

**Title:**CLUSTERED CELL MIGRATION: MODELING BOUNDARY POINT FORCES

**Abstract:**Cell migration is the progression of uni or multicellular units in response to chemical gradients or signals. It is an integral part of daily cellular functions; moreover, development and pathologies in migration can lead to discoveries in cancer metastasis. This research focuses on movement of a cluster of migratory border cells through nurse cells in the egg chambers of drosophila melanogaster, also known as the fruit fly. Due to its short life span, this organism is often used in research.The lab aims to answer: How does one represent membrane tension interactions in a complex mathematical model for individual cells? How can the lab combine these membrane forces with forces of migration and stochasticity to affect cell migration in a mathematical model for clustered border cells with complex boundaries? Furthermore, what parameters are needed to correctly simulate cell migration?

The research utilizes MATLAB to simulate the egg chamber, border cells, and migratory cells. We captured heterogeneous cells of the egg chamber: including nurse, epithelial, and migratory border cells using interactions between cell membranes and arising via forces, including adhesive, repulsive, and spring forces. We developed the concept of neighborhoods to map interactions between cell boundaries. Furthermore, we used a volume force to include heterogeneously and realistically sized cells. After an initiation period where cells filled the chamber, we attempt to enact the migratory force, which stems from a chemical gradient signaling, allowing border cells to climb through nurse cells. We solved the force balance equation with Euler's step to capture progression in time. In MATLAB, we coded cell boundaries around cell centers to represent membranes while adapting parameters, equations, and coefficients in order to realistically simulate cell migration.

While research is ongoing, the research team has been able to progress in an understanding of the model and further incorporation of more complexities, striving to achieve a simulation that accurately mirrors real life observation of the migratory cells.

**Tags:**