Course Desc<x>ription
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<br>To understand the foundation of modern Digital microscopy.
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<br>References:
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<br>Teaching Methods
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<br>2 hours introduction, 1 hour group discussion
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<br>Syllabus
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<br>(Might change due to the teaching progress)
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<br>1. Bioimaging systems for biological sample
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<br>2. Foundation of optical imaging and microscopy
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<br>3. Different types of optical microscopy
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<br>4. How to build an automated microscopy system-hardware and software
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<br>5. How to build an automated microscopy system-hardware and software
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<br>6. How to build an automated microscopy system-hardware and software
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<br>7 Super-resolution microscopy
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<br>8. Electron microscopy
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<br>9 Sample for optical microscopy-Flouresent proteins and immunostaining
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<br>10. Sample for optical microscopy-Tissue clearing and expansion microscopy
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<br>11. Midterm
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<br>12. Experiment (sample preparation)
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<br>13. Experiment (imaging sample with confocal microscopy)
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<br>14. Digital image properties
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<br>15. Image viewing and processing with ImageJ
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<br>16. Image segmentation and quantitative analysis
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<br>17. Deep learning ba<x>sed automated image segmentation.
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<br>18. Final.
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<br>Evaluation
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<br>Experiment report: 30%
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<br>Midterm: 35%
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<br>Final: 35%
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