Program

Monday (7/23)

Previous Day | Whole Program | Next Day

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