Deconstructing co-localisation workflows: A journey into the black boxes [NEUBIAS Academy@Home]

Co-localization analysis is a one of the main interest of users entering a Facility with slides in hand and nice analysis perspectives in mind. While being available through most, if not all, analysis software, co-localization tools are mainly perceived as black boxes, fed with images and excreting (the expected) numbers. A large bunch of papers have been trying to push forward one method which would perform better than all the others, losing the focus from the variety of biological problematics which may explain why so many methods exist nowadays. In this talk, we will aim at deconstructing existing generic co-localization workflows. By differentiating work-cases, identifying co-localization reporters and the metrics others have been using, we aim at providing the audience with the elementary bricks and methods to build their really own co-localization workflows. ========= Learning outcomes: After attending this webinar, participants will be get a better understanding of the most commonly used metric for co-localization. By getting a deeper insight of what lies behind indicators and quantifiers, they are expected to make an appropriate choice when picking a co-localization method or get new ideas to developed metrics more suited to their own problematics. ========= 00:00:00 Introduction 00:07:54 Checking data integrity 00:14:20 Q&A 00:16:25 Pre-processing 00:25:25 Q&A 00:29:06 Choosing a reporter/metric 00:44:44 Q&A 00:52:50 Comparing/interpreting 01:02:57 Q&A 01:05:05 Assembling a worflow 01:14:20 Q&A ========= Presenter: Dr. Fabrice Cordelières, Bordeaux Imaging Center, CNRS, Bordeaux, France. Moderators, Bioimage Analysts: Anna Klemm (UUppsala), Rocco d’Antuono (Crick Institute), Marion Louveaux (Pasteur Institute) and Romain Guiet (EPFL Lausanne) =========== All Questions & Answers are available on the image.sc forum, where you can further ask questions in the future: https://forum.image.sc/t/neubias-acad... =========== Please Fill in the satisfaction survey about this webinar: https://docs.google.com/forms/d/e/1FA...