Module week: Week 36 (starting 1 September 2026)
Lecturer: Estibaliz Gómez de Mariscal (EMBO Postdoctoral Fellow, Optical Cell Biology Group, ITQB NOVA, NOVA University of Lisbon, Portugal)
Recorded lecture — now available online. Watch it in the course portal. The computer lab (Wednesday 13:00–17:00) and seminar (Friday 10:00–12:00) are held live over Zoom.
Estibaliz Gómez de Mariscal completed her PhD in Mathematical Engineering in 2021 and is currently an EMBO Postdoctoral Fellow in the Optical Cell Biology Group at Instituto de Tecnologia QuÃmica e Biológica António Xavier (ITQB NOVA), NOVA University of Lisbon, Portugal. Her research focuses on contributing to biological discoveries by exploiting image processing techniques, artificial intelligence, and live-cell microscopy imaging. She actively contributes to the dissemination and accessibility of these technologies within the deepImageJ, ZeroCostDL4Mic, the Cell Tracking Challenge, DL4MicEverywhere, and the BioImage Model Zoo projects. Learn more about her here.
Title: Deep learning enabled image-driven scientific discovery
Recent advancements in bioimage analysis, particularly leveraging deep learning techniques, are revolutionizing image-driven scientific discovery by enhancing the speed, accuracy and capacity to extract valuable insights and relationships from biological images. Their ability to uncover intricate patterns and seamlessly adapting to the increasing volume of experimental data holds promise for heuristic approaches in research. In this lecture, I will introduce basic concepts in deep learning, microscopy imaging and bioimage analysis as well as discuss with you the actual context in image driven scientific discovery and provide you a collection of resources to explore these techniques yourself. Additionally, I will briefly introduce the different collaborative tools developed together with colleagues to foster the accessibility and reproducibility of deep learning approaches.
The computer lab notebook will be released at the start of the module week; you will present your lab work at the Friday seminar.