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