Image Analysis, AI, and QuPath - keynote by Pete Bankhead
Channel: Zbigniew Mikulski
Date: 12/11/2023

We flipped the order of the talks a bit because Pete's keynote is a great introduction to the course. It was originally presented at the end of day 1 of the course.  

Please follow this document to get everything you need to fully participate in this training course (software, files, cheat sheets, and additional resources):
https://docs.google.com/document/d/1VyPtSbvnUC3EWnCVSRmFgFnhsXNHfOkAxOVyhkpYn8I

0:00 Keynote address by Dr. Pete Bankhead
0:35 BioImage Analysis is difficult
3:01 How does cell counting work?
7:55 The value of being skeptical
9:58 Research + Software
13:35 Pete's first experience with image analysis
19:47 Need to collaborate with subject experts
21:04 Inspiration for QuPath
27:10 3 projects in 3 minutes
30:35 Open, Flexible, User-friendly
36:15 How does QuPath relate to AI? Deep learning, WSinfer, SAM, Stardist...
44:12 QuPath 0.5.0 and beyond
52:05 Priorities for the future
1:06:17 How you can help

If you have any questions about the videos or the training course, please ask on this image.sc forum post. https://forum.image.sc/t/qupath-training-course-from-samples-to-knowledge-2023-is-available-online/88618
The more information you can include about your question, the more helpful our answers can be.