Program (cont.)

1:00 pm - 1:45 pm Invited Talk

Gustavo Leone, Ohio State
Modeling the tumor microenvironment in vivo

Gustavo Leone is an Associate Professor at the James Cancer Hospital and Solove Research Institue. Dr. Leone's lab is currently studying the role of the Ras pathway in coordinating cell growth and cell death signals elicited by the E2F and Myc transcription programs. In 1999 he was awarded The Robert M. and Barbara R. Bell Basic Science of Cancer Award and received a Centennial Fellowship of Medical Research Council of Canada in 1997. Since 2005 he is a scholar of the Leukemia and Lymphoma Society. After completing this Ph.D at the University of Calgary (1994) and postdoctoral studies at the Duke University Medical Center he joined The Ohio State University in 1999.

1:45am - 2:30am Session 2: Tracking and Motion Analysis

T. Tsechpenakis, L. Lianchi, M. Driscoll, D. Metaxas: Tracking C. elegans Populations in Fluid Environments for the Study of Different Locomotory Behaviors

T. Sebastian, J. Rittscher, D. Nelson, S. Abbot: Automatic Characterization of In Vitro Cardiomyocyte Motion

K. Li, T. Kanade: Cell Population Tracking and Lineage Construction Using Multiple-Model Dynamics Filters and Spatiotemporal Optimization

2:30pm - 2:45pm Afternoon Break

2:45pm - 4:00pm Session 3: Registration and Imaging Methods

L. Cooper, S. Naidu, G. Leone, J. Saltz, K. Huang: Registering High Resolution Microscopic Images with Different Histochemical Stainings - A Tool for Mapping Gene Expression with Cellular Structures

A. Santamaria, I. Kakadiaris: Automatic Morphological Reconstruction of Neurons from Optical Imaging

S. Trattner, M. Feigin, M. Greenspan, N. Sochen: The Born Approximation for Round and Cubical Objects in DIC Microscopy Imaging

N. Markovic, O. Markovic: Computerized Cell Image Tomography 30 years later

E. Claridge, D.J. Powner: Linear Unmixing with a Minimum of Spectral Bands for Fluorescence Microscopy Images

4:00pm - 6:00pm Session 3: Registration and Imaging Methods

Prioritizing Microscopic Image Analysis for Biology

Designing drugs that interfere with specific molecular signaling pathways is believed to be by far the most promising approach for treating human diseases and infections. As a consequence, a major aim in biology research is to understand which molecular signaling pathways drive specific phenotypic behaviors of cells and tissues.

Quantitative microscopy in conjunction with mathematical modeling can contribute significantly to understanding signaling pathways by providing information about the spatial distribution of specific molecules in