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)

1. Bioimaging systems for biological sample
2. Foundation of optical imaging and microscopy
3. Different types of optical microscopy
4. How to build an automated microscopy system-hardware and software
5. How to build an automated microscopy system-hardware and software
6. How to build an automated microscopy system-hardware and software
7 Super-resolution microscopy
8. Electron microscopy
9 Sample for optical microscopy-Flouresent proteins and immunostaining
10. Sample for optical microscopy-Tissue clearing and expansion microscopy
11. Midterm
12. Experiment (sample preparation)
13. Experiment (imaging sample with confocal microscopy)
14. Digital image properties
15. Image viewing and processing with ImageJ
16. Image segmentation and quantitative analysis
17. Deep learning based automated image segmentation.
18. Final.


Evaluation
Experiment report: 30%
Midterm: 35%
Final: 35%