Course Description
To understand the foundation of modern Digital microscopy.
Text Books
NaN
References:
Teaching Methods
2 hours introduction, 1 hour group discussion
Syllabus
(Might change due to the teaching progress)
2/23. Bioimaging systems for biological sample
3/2. Foundation of optical imaging and microscopy
3/9. Different types of optical microscopy
3/16. How to build an automated microscopy system-hardware and software
3/23. How to build an automated microscopy system-hardware and software
3/30. How to build an automated microscopy system-hardware and software
4/6 Holiday
4/13 Super-resolution microscopy
4/20. Electron microscopy
4/27. Sample for optical microscopy-Flouresent proteins and immunostaining
5/4. Sample for optical microscopy-Tissue clearing and expansion microscopy
5/11. Midterm
5/18. On site visiting (Brain Research Center)
5/25. Digital image properties
6/1. Image viewing and processing
6/8. Image segmentation and quantitative analysis
6/15. Deep learning based automated image segmentation.
6/22. Final.
Evaluation
Attendance: 10%
Class participation: 20%
Midterm: 35%
Final: 35%