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VERSION:2.0
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CALSCALE:GREGORIAN
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DTSTAMP:20260627T211508Z
UID:ad566552-a7f4-42be-863c-654d7cef3538
DTSTART:20240422T090000Z
DTEND:20240426T170000Z
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. Further ins
 truction will be offered using applications such as ZeroCostDL4Mic\, ilast
 ik\, the BioImage Model Zoo\, and CellProfiler.\n\n**Virtual course**\n\nT
 his course will be a virtual event delivered via a mixture of live-streame
 d sessions\, pre-recorded lectures\, and tutorials with live support. We w
 ill be using Zoom to run the live sessions (all fully password protected w
 ith automated English closed captioning and transcription) with support an
 d both scientific and social networking opportunities provided by Slack an
 d other methods\, taking different time zones into account.\n\nIn order to
  make the most out of the course\, you should make sure to have a stable i
 nternet connection throughout the week and are available between 08:00 
 – 18:00 BST each day. In the week before the course there will be a bri
 ef induction session. Computational practicals will run on EMBL-EBI's virt
 ual training infrastructure\, meaning participants will not require access
  to a powerful computer or install complex software on their own machines.
 \n\nSelected participants may be sent materials prior to the course. These
  might include pre-recorded talks and required reading or online 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-machine-learning-and-bioimage-archive
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