8:30 - 8:45 AM |
Opening Talks |
8:45 - 9:30 AM |
Dr. Hanchuan Peng
High-throughput analysis of microscopic images using 3D digital atlases of model animals
- Applications in cell biology, gene expression analysis, neuroscience, etc.
- Methods: 3D segmentation, tracing, registration, visualization, data mining, modeling
- Major challenges and future directions
Related Papers
|
9:30 - 10:00 AM |
Tea/Coffee Break, Group Photo
|
10:00 - 11:00 AM |
Dr. Hanchuan Peng
High-throughput analysis of microscopic images using 3D digital atlases of model animals (Cont'd)
Case Studies
- High resolution C. elegans digital map and single cell analyses
- Zebrafish image segmentation and informatics
- Fruit fly bioimage informatics (segmentation/tracing, registration, annotation, and modeling)
- Others & industrial applications (e.g. electron microscopy image alignment, segmentation and 3D reconstruction, cell segmentation and tracking, etc.)
|
11:00 - 12:00 Noon |
Prof. Hongbo Yu
Multiple scale functional and structural imaging in vivo
- None invasive brain functional imaging - fMRI
- Intrinsic optical imaging and voltage-sensitive dye imaging - fast functional screening of the brain
- Two photon calcium imaging - to see what we record physiologically at single cell resolution
- Two photon structural imaging - to monitor the neural network and the dynamics of subcellular structure
- Super-resolution imaging - the approach to image big biological molecues
- Data analysis - common difficulties and current tools
References:
|
12:00 - 2:00 PM |
Lunch
|
2:00 - 3:00 PM |
Prof. Anant Madabhushi
Digital Pathology: Role of Image Analysis (Part I)
- What is Digital Pathology?
- Why is digital pathology so different from radiologic images?
- What are the unique questions one can pose with digital pathology?
- Need for unique image computing tools in digital pathology
References:
[Ref 1],
[Ref 2],
[Ref 3],
[Ref 4]
|
3:00 - 3:30 PM |
Tea/Coffee Break
|
3:30 - 4:30 PM |
Prof. Anant Madabhushi
Computer aided prognosis (Part II)
- What is computer aided prognosis?
- Feature extraction and characterization fro digital pathology
- Classification of high dimensional feature spaces
- Use case of Computer aided prognosis in prostate cancer
- Use case in breast cancer
|
4:30 - 5:30 PM |
Review and Discussion
|
Evening Event |
Welcome Dinner
|
|