The Open Symposium will start on Thursday the 11th of May and will focus on recent scientific developments and open tools in bioimage analysis. There will be a special session for AI4Life, […]
AI4Life and the BioImage Model Zoo (Anna Kreshuk).
The Defragmentation Training School 2 is addressed to the new generation of bioimage analysts and will take place from the 8th to the 12th of May 2023. The training school […]
The course is designed to provide an introduction to the fundamentals of machine learning and deep learning, as well as an understanding of when and how these methods are suitable […]
The Open Symposium will start on Thursday the 11th of May and will focus on recent scientific developments and open tools in bioimage analysis. There will be a special session for AI4Life, […]
This meeting will be the fourth instalment of our highly successful Cell Dynamics Meeting series, and will focus on ‘Imaging Cell Dynamics’. Emphasis will be placed on researchers addressing biological […]
This virtual course will show how public bioimaging data resources, centred around the BioImage Archive, enable and enhance machine learning based image analysis. The content will explore a variety of […]
This course has two parallel tracks:Early career investigators track: Learn to master the tools and techniques of bioimage analysis for your own research. From power usage to building analysis pipelines.Analysts track: Learn […]
This event brings together the computational and life science communities. We are currently building web and cloud infrastructure aimed at addressing the challenges of building and deploying AI tools for […]
The advent of deep learning has brought a revolution in the field of computer vision, including most tasks and research questions concerned with microscopy image analysis. Neural networks have been […]
Frontiers in Neurophotonics is an opportunity to meet fellow researchers and students from around the world, discuss and discover the latest advances in live cell optical imaging techniques put in […]
The goal of this course is to familiarize researchers in the life sciences with state-of-the-art deep learning techniques for microscopy image analysis and to introduce them to tools and frameworks […]