{"id":522,"date":"2025-09-11T09:50:56","date_gmt":"2025-09-11T07:50:56","guid":{"rendered":""},"modified":"2025-09-11T09:50:56","modified_gmt":"2025-09-11T07:50:56","slug":"seminars-christophe-zimmer-and-thomas-walter","status":"publish","type":"buni_events","link":"https:\/\/www.iins.u-bordeaux.fr\/en\/events\/seminars-christophe-zimmer-and-thomas-walter\/","title":{"rendered":"Seminars &#8211; Christophe Zimmer and Thomas Walter"},"content":{"rendered":"<p><strong>CARF Building Amphitheater<\/strong><\/p>\n<p><strong>In the context of Christer Lohk\u2019s PhD defense<\/strong><\/p>\n<hr \/>\n<p><strong>9:30 AM \u2013 Christophe Zimmer<\/strong><br \/>\n<em>Rudolf Virchow Zentrum, W\u00fcrzburg, Germany<\/em><br \/>\n<strong>AI for Microbiology and Epidemiology<\/strong><\/p>\n<p><strong>10:30 AM \u2013 Thomas Walter<\/strong><br \/>\n<em>Institut Curie, Paris, France<\/em><br \/>\n<strong>Computer Vision for Spatial Transcriptomics<\/strong><\/p>\n<p>Spatial Transcriptomics (ST) is a technique that maps gene expression to specific locations within a tissue, thereby combining spatial information with transcriptomic data. ST enables the study of the spatial organization of cell types and cellular states, and how these relate to tissue structure and function. ST poses several computational challenges, including image segmentation, single-cell deconvolution, and cross-modality prediction, where the goal is to infer transcriptomic profiles from morphological phenotypes.<\/p>\n<p>In this lecture, Dr. Walter will present recent developments in these areas. He will discuss methods for predicting molecular signatures from histology images, as well as work on cell segmentation from image-based spatial transcriptomics data. Finally, he will introduce an approach for predicting single-cell gene expression from morphological phenotypes, leveraging paired Hematoxylin &amp; Eosin (H&amp;E) and spatial transcriptomics data.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI for Microbiology and Epidemiology \/ Computer Vision for Spatial Transcriptomics \/\/ Venue: CARF<\/p>\n","protected":false},"template":"","categories":[],"class_list":["post-522","buni_events","type-buni_events","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.iins.u-bordeaux.fr\/en\/wp-json\/wp\/v2\/buni_events\/522","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.iins.u-bordeaux.fr\/en\/wp-json\/wp\/v2\/buni_events"}],"about":[{"href":"https:\/\/www.iins.u-bordeaux.fr\/en\/wp-json\/wp\/v2\/types\/buni_events"}],"wp:attachment":[{"href":"https:\/\/www.iins.u-bordeaux.fr\/en\/wp-json\/wp\/v2\/media?parent=522"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.iins.u-bordeaux.fr\/en\/wp-json\/wp\/v2\/categories?post=522"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}