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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260711T131904Z
UID:23820dfa-a3db-45d4-920b-4257a641f6c6
DTSTART:20260316T090000Z
DTEND:20260320T170000Z
DESCRIPTION:This virtual course will demonstrate how public bioimaging data
  resources\, centred around the BioImage Archive\, enable and enhance mach
 ine learning based image analysis. The content will explore a variety of d
 ata types\, including electron and light microscopy and miscellaneous or m
 ulti-modal imaging data at the cell and tissue scale. Participants will co
 ver contemporary biological image analysis with an emphasis on machine lea
 rning methods\, as well as how to access and use images from databases.\n\
 n**Virtual course**\n\nParticipants will learn via a mix of pre-recorded l
 ectures\, live presentations\, and trainer Q&amp\;A sessions. Practical ex
 perience will be developed through group activities and trainer-led comput
 ational exercises. Live sessions will be delivered using Zoom with additio
 nal support and asynchronous communication via Slack.\n\nPre-recorded mate
 rial may be provided before the course starts that participants will need 
 to watch\, read or work through to gain the most out of the actual trainin
 g event. In the week before the course\, there will be a brief induction s
 ession. Computational practicals will run on EMBL-EBI's virtual training i
 nfrastructure\, meaning participants will not require access to a powerful
  computer or install complex software on their own machines. \n\nParticip
 ants will need to be available between the hours of 08:00 – 18:00 GMT e
 ach day of the course. Trainers will be available to assist\, answer quest
 ions\, and provide further explanations during these times.
SUMMARY:Microscopy data analysis: machine learning and the BioImage Archive
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/microscopy-data-analysi
 s-2026
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