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%