The presentation, with title: “Holographic characterization of biological nanoparticles using deep learning”, was held in hybrid format, with part of the audience in the Nexus room and the rest connected through zoom. The half-time consisted in a presentation about his past and planned projects and it was followed by a discussion and questions proposed by his opponent Prof. Rebecka Jörnsten.
The presentation started with a short background to characterization of biological particles inside cells and an introduction to the papers included in the half-time.
It continued with images and videos of various particle types inside cells, both tracked and characterized, followed by a description of the LodeSTAR-model.
In the last section, he outlined the proposed continuation of his PhD, with an ongoing project for monitoring lipid droplets during long timescales and a neural network for 3D rotation parameter estimation of rotating biological samples.
PhD Student: Fredrik Skärberg
Supervisor: Daniel Midtvedt
Co-supervisors: Giovanni Volpe, Fredrik Höök
