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