| Date |
Title |
Description |
| Lecture 1 (January 16, 2012) |
Introduction |
|
| Lecture 2 (January 18, 2012) |
Fundamentals of light microscopy |
|
| Lecture 3 (January 23, 2012) |
Fundamentals of light microscopy (II); Practical issues in bioimage informatics |
Peng et al review; Swedlow et al review 1; Swedlow et al review 2; Danuser review; Peperkok et al review |
| Lecture 4 (January 25, 2012) |
Practical issues in bioimage informatics (II); Fundamentals of fluorescence microscopy (I) |
|
| Lecture 5 (January 30, 2012) |
Fundamentals of fluorescence microscopy (continued); Bioimage data analysis (I): Basic operations |
Image sequence download |
| Lecture 6 (February 1, 2012) |
Bioimage data analysis (I): Basic operations; Bioimage data analysis (II): Feature detection |
Zitova&Flusser; Maintz&Viergever; Baker&Matthews |
| Lecture 7 (February 6, 2012) |
Bioimage data analysis (II): Point feature detection |
|
Lecture 8 (February 13, 2012) |
Bioimage data analysis (II): Subpixel resolution point feature detection |
Cheezum et al; Yildiz&Selvin |
Lecture 9 (February 15, 2012) |
Bioimage data analysis (II): Applications of point feature detection techniques |
Canny PAMI paper
Why_use_Gaussian_kernel from Forsyth & Ponce, Computer vision: a modern approach, Prentice Hall, 2003. |
| Lecture 10 (February 20, 2012) |
Bioimage data analysis (II): Applications of point feature detection techniques, Super-resolution fluorescence imaging; Bioimage data analysis (III): Edge detection
Canny edge detection MATLAB demo
Hough_transform_demo
| |
| Lecture 11 (Febraray 22, 2012) |
Bioimage data analysis(III): Edge detection; line/curve detection
Segmentation_demo_I |
|
| Lecture 12 (February 27, 2012) |
Bioimage data analysis(III): line/curve detection; (IV): image segmentation (part 1)
|
|
| Lecture 13 (February 29, 2012) |
Bioimage data analysis (IV): image segmentation (part 2)
|
|
| Lecture 14 (March 07, 2012) |
Bioimage data anlaysis (IV): Image segmentation(part 3) |
|
| Lecture 15 (March 19, 2012) |
Bioimage data analysis (IV): Image segmentation (part 4) |
|
| Lecture 16 (March 26, 2012) |
Bioimage data analysis (IV): Image segmentation (part 5); Bioimage data analysis (V): Single particle tracking (part 1) |
|
| Lecture 17 (March 28, 2012) |
Bioimage data analysis (V): Single particle tracking (part 2) |
|
| Lecture 18 (April 02, 2012) |
Bioimage data analysis (V): Single particle tracking (part 3) |
|
| Lecture 19 (April 11, 2012) |
Biological application (I): Experimental and computational analysis of axonal transport |
|
| Lecture 20 (April 16, 2012) |
Basic diffusion theory; Biological application (II): Experimental and computational analysis of spindle microtubule flux |
|
| Lecture 21 (April 18, 2012) |
Biological application (III): High throughput / high content screens |
|
| Lecture 22 (April 23, 2012) |
Empirical performance evaluaton of bioimage informatics algorithms; Image database, content-based image retrieval; Introduction to molecular imaging |
|
| Lecture 23 (April 25, 2012) |
Molecular imaging |
|
| Lecture 24 () |
|
|
| Lecture 25 () |
|
|
| Lecture 26 () |
|
|
| Lecture 27 () |
|
|
| Lecture 28 () |
|
|