Crick BioImage Analysis Symposium
Showcasing image analysis techniques to biomedical researchers, demonstrating how such approaches can help them advance their research.
Date and time
Location
Online
About this event
The symposium will bring together life scientists and leading developers of bioimage analysis methods to illustrate how such approaches can answer defined biological questions.
The ability to routinely acquire large, multi-dimensional datasets with modern microscopy techniques is revolutionising biomedical research. In order to fully realise the benefits of such imaging technologies, automated analysis pipelines are needed, but many life scientists lack the necessary expertise to design and execute such analyses.
The key objectives of the symposium are:
- Inform biomedical researchers of the possibilities that image analysis can deliver for their research
- Establish links between life science researchers and image analysis experts
- Foster the development of an image analysis network, with the Crick as its central hub
Sponsors
Programme
08:30 - Registration
09:00 - Welcome
Session 1 - New Biology from Image Analysis
09:10 - Eva Frickel - HRMAn - a versatile and intelligent image analysis tool for host-pathogen studies
09:40 - George Ashdown - A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens
10:10 - Carles Bosch - Subcellular context in multi-mm samples of functionally-imaged mammalian brain
10:40 - Nikon - Nikon AI Software: Taking microscope imaging and analysis to the next level
10:50 - Leica - THUNDER – Clear data for easy analysis
11:00 - Coffee Break
Session 2 - High Throughput Analysis
11:20 - Peter Horvath - Life beyond the pixels: single-cell analysis using deep learning and image analysis methods
11:50 - Davide Danovi - Imaging cells: defining objects, capturing identities, testing boundaries
12:20 - Mathworks - Automate and Speed up your Image Processing in MATLAB
12:30 - Olympus - Image Analysis in the next dimension: 3D High Content Screening analysis for Organoids and 3D Cell cultures
12:40 - Zeiss - ZEN Intellesis: An Open Ecosystem for integrated Machine-Learning Workflows
12:50 - Lunch & Workshops
14:20 - Ellie Lech - A funder's perspective on bioimage analysis
Session 3 - AI & Large Data Sets
14:30 - Heba Sailem - Biological discovery from microscopy data
15:00 - Pete Bankhead - QuPath: Open source software for analysing (awkward) images
15:30 - Coffee Break
Session 4 - Tracking Living Systems
15:40 - Jean-Yves Tinevez - End-user Bioimage analysis tools for very large images - From TrackMate to Mastodon.
16:10 - Viji Draviam - Probing the dynamic regulation of human cell division
16:40 - Coffee Break
Session 5 - Super Resolution Analysis
16:50 - Siân Culley - Super-resolution quality assessment and experiment optimisation with SQUIRREL
17:20 - Susan Cox - Information and artifacts in localisation microscopy