Title:	Deep learning for morphological cell profiling
DNr:	Berzelius-2024-393
Project Type:	LiU Berzelius
Principal Investigator:	Ola Spjuth <ola.spjuth@uu.se>
Affiliation:	Uppsala universitet
Duration:	2024-11-01 – 2025-05-01
Classification:	10610
Homepage:	https://pharmb.io/project/autonomous-phenomics/
Keywords:

Abstract

In our lab we expose cells to drugs and environmental toxicants and use the Cell Painting methodology to capture images using high-content imaging. We analyze these images using AI/MOL methods including deep neural (convolutional) networks and recurrent neural networks. We also develop new methods for live-cell imaging. Key objectives are to propose new combination treatments for different types of cancers, and to study effects of combinations of environmental toxicants.