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DTSTAMP:20260616T045401Z
UID:a677a929-0d16-4ee1-b029-138e23f1e73e
DTSTART:20261002T090000Z
DTEND:20261002T170000Z
DESCRIPTION:This introductory QuPath course is designed for early-stage res
 earchers—particularly 1st-year PhD students\, postdocs\, and research su
 pport staff—who are new to digital pathology and image analysis. As high
 -throughput imaging becomes increasingly central to biomedical research\, 
 the ability to efficiently analyze whole slide images is essential. This t
 raining provides a hands-on introduction to QuPath\, a powerful open-sourc
 e platform for bioimage analysis. Participants will learn how to navigate
  the software\, perform cell segmentation\, classify pixels and objects\, 
 and extract quantitative features. The course also introduces basic script
 ing for batch processing\, enabling scalable workflows. By the end of the 
 session\, attendees will be equipped to independently analyze their own hi
 stological data and integrate image analysis into their research pipelines
 .
LOCATION:Ghent - VIB/UGent FSVM II\, Technologiepark 75
SUMMARY:Quantitative bioimage analysis in QuPath: essentials
URL;VALUE=URI:https://training.vib.be/all-trainings/quantitative-bioimage-a
 nalysis-qupath-essentials-0
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