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DTSTAMP:20260614T180241Z
UID:08c5c24b-4ec0-4133-8166-d3e5722d1a73
DTSTART:20220515T090000Z
DTEND:20220519T170000Z
DESCRIPTION:This course will introduce programmatic approaches used in the 
 analysis of bioimage data via the BioImage Archive. The content will explo
 re a variety of data types including electron microscopy\, cell and tissue
  microscopy\, and miscellaneous or multi-modal imaging data. Participants 
 will cover contemporary biological image analysis with an emphasis on mach
 ine learning and advanced image analysis. Further instruction will be offe
 red using applications such as ZeroCostDL4Mic\, ilastik\, ImJoy\, the BioI
 mage Model Zoo\, and CellProfiler.\n\n**Virtual course**\n\nParticipants w
 ill learn via a mix of pre-recorded lectures\, live presentations\, and tr
 ainer Q&amp\;A sessions. Practical experience will be developed through gr
 oup activities and trainer-led computational exercises. Live sessions will
  be delivered using [Zoom](https://zoom.us/) with additional support and a
 synchronous communication via [Slack](https://slack.com/intl/en-gb/). \n\
 nPre-recorded material may be provided before the course starts that parti
 cipants will need to watch\, read or work through to gain the most out of 
 the actual training event. 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 ac
 cess to a powerful computer or install complex software on their own machi
 nes.\n\nParticipants will need to be available between the hours of 09:00 
 - 17:30 BST each day of the course. Trainers will be available to assist\,
  answer questions\, and provide further explanations during these times.\n
 \n 
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-2022
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