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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260707T083932Z
UID:95a20757-db66-405b-91e4-daaebe83652b
DTSTART:20230522T090000Z
DTEND:20230526T170000Z
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\, ImJoy\, the BioImage Model Zoo\, and CellProfiler.\n\n**Virtual cours
 e**\n\nThis course will be a virtual event delivered via a mixture of live
 -streamed sessions\, pre-recorded lectures\, and tutorials with live suppo
 rt. We will be using Zoom to run the live sessions (all fully password pro
 tected with automated English closed captioning and transcription) with su
 pport and both scientific and social networking opportunities provided by 
 Slack and 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 internet connection throughout the week and are available between 0
 8:00 – 18:00 BST each day. In the week before the course there 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 their own mac
 hines.\n\nSelected participants may be sent materials prior to the course.
  These might include pre-recorded talks and required reading or online tra
 ining that will be essential to fully engage with the course.
LOCATION:European Bioinformatics Institute
SUMMARY:Microscopy data analysis: machine learning and the BioImage Archive
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/microscopy-data-analysi
 s-0
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