Crick BioImage Analysis Symposium

David Barry

Showcasing image analysis techniques to biomedical researchers, demonstrating how such approaches can help them advance their research.

<p>The symposium will bring together life scientists and leading developers of bioimage analysis methods to illustrate how such approaches can answer defined biological questions.</p><p>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.</p><p>The key objectives of the symposium are:</p><ul><li>Inform biomedical researchers of the possibilities that image analysis can deliver for their research</li><li>Establish links between life science researchers and image analysis experts</li><li>Foster the development of an image analysis network, with the Crick as its central hub</li></ul><h2></h2><h2>Sponsors</h2>

<h2>Programme</h2><h2></h2><p>08:30 - Registration	</p><p>09:00 - Welcome	</p><p></p><h3>Session 1 - New Biology from Image Analysis</h3><p>09:10 - Eva Frickel - HRMAn - a versatile and intelligent image analysis tool for host-pathogen studies</p><p>09:40 - George Ashdown - A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens  </p><p>10:10 - Carles Bosch - Subcellular context in multi-mm samples of functionally-imaged mammalian brain</p><p>10:40 - Nikon - Nikon AI Software: Taking microscope imaging and analysis to the next level</p><p>10:50 - Leica - THUNDER – Clear data for easy analysis</p><p></p><p>11:00 - Coffee Break</p><p></p><h3>Session 2 - High Throughput Analysis</h3><p>11:20 - Peter Horvath - Life beyond the pixels: single-cell analysis using deep learning and image analysis methods</p><p>11:50 - Davide Danovi - Imaging cells: defining objects, capturing identities, testing boundaries</p><p>12:20 - Mathworks - Automate and Speed up your Image Processing in MATLAB  </p><p>12:30 - Olympus - Image Analysis in the next dimension: 3D High Content Screening analysis for Organoids and 3D Cell cultures </p><p>12:40 - Zeiss - ZEN Intellesis: An Open Ecosystem for integrated Machine-Learning Workflows</p><p></p><p>12:50 - Lunch &amp; Workshops	</p><p></p><p>14:20 - Ellie Lech - A funder's perspective on bioimage analysis</p><p></p><h3>Session 3 - AI &amp; Large Data Sets</h3><p>14:30 - Heba Sailem - Biological discovery from microscopy data</p><p>15:00 - Pete Bankhead - QuPath: Open source software for analysing (awkward) images</p><p></p><p>15:30 - Coffee Break</p><p></p><h3>Session 4 - Tracking Living Systems</h3><p>15:40 - Jean-Yves Tinevez - End-user Bioimage analysis tools for very large images - From TrackMate to Mastodon. </p><p>16:10 - Viji Draviam - Probing the dynamic regulation of human cell division</p><p></p><p>16:40 - Coffee Break</p><p></p><h3>Session 5 - Super Resolution Analysis</h3><p>16:50 - Siân Culley - Super-resolution quality assessment and experiment optimisation with SQUIRREL</p><p>17:20 - Susan Cox - Information and artifacts in localisation microscopy</p>

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Crick BioImage Analysis Symposium

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Crick BioImage Analysis Symposium

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