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CALSCALE:GREGORIAN
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DTSTAMP:20260407T181343Z
UID:fb5dd77e-407b-4862-86f5-08ba67b27078
DTSTART:20250331T090000Z
DTEND:20250404T170000Z
DESCRIPTION:This virtual course will show how public bioimaging data resour
 ces\, centred around the BioImage Archive\, enable and enhance machine lea
 rning based image analysis. The content will explore a variety of data typ
 es including electron and light microscopy and miscellaneous or multi-moda
 l imaging data at the cell and tissue scale. Participants will cover conte
 mporary biological image analysis with an emphasis on machine learning met
 hods\, as well as how to access and use images from databases. \n\n**Virt
 ual course**\n\nThis course will be a virtual event delivered via a mixtur
 e of live-streamed sessions\, pre-recorded lectures\, and tutorials with l
 ive support. We will be using Zoom to run the live sessions (all fully pas
 sword protected with automated English closed captioning and transcription
 ) with support and both scientific and social networking opportunities pro
 vided by Slack and other methods\, taking different time zones into accoun
 t.\n\nIn order to make the most out of the course\, you should make sure t
 o have a stable internet connection throughout the week and are available 
 between 08:00 – 18:00 BST each day. In the week before the course ther
 e will be a brief induction session. Computational practicals will run on 
 EMBL-EBI's virtual training infrastructure\, meaning participants will not
  require access to a powerful computer or install complex software on thei
 r own machines.\n\nSelected participants may be sent materials prior to th
 e course. These might include pre-recorded talks and required reading or o
 nline training that will be essential to fully engage with the course.
SUMMARY:Microscopy data analysis: machine learning and the BioImage Archive
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/microscopy-data-analysi
 s-2025
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