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VERSION:2.0
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CALSCALE:GREGORIAN
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DTSTAMP:20260819T114901Z
UID:dfbb2c01-ff9f-4df5-9dd3-b040519c8661
DTSTART:20260611T090000Z
DTEND:20260611T170000Z
DESCRIPTION:As high-throughput imaging becomes increasingly central to biom
 edical research\, the ability to efficiently analyze whole slide images is
  essential. This training provides a hands-on introduction to QuPath\, a p
 owerful open-source platform for bioimage analysis.You will learn how to n
 avigate the software and leverage built-in machine learning algorithms (in
 cluding Random Forest and neural networks) to perform cell segmentation\, 
 classify pixels and objects\, and extract quantitative features. We will a
 lso introduce basic scripting for batch processing\, enabling scalable wor
 kflows.   This course uses a strong hands-on approach with guided exerci
 ses in QuPath.
LOCATION:Antwerp - Campus Drie Eiken UAntwerpen\, Universiteitsplein 1
SUMMARY:Quantitative bioimage analysis in QuPath: essentials
URL;VALUE=URI:https://training.vib.be/all-trainings/quantitative-bioimage-a
 nalysis-qupath-essentials
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