Applications of image processing for identifying objects and dynamics in biological images
Scott Acton
University of Virginia, EUA.
Abstract:
Applications of image processing for identifying objects and dynamics in biological images
Biological image analysis presents several key research problems involving object segmentation and object tracking. This tutorial will explore specialized approaches to biological image segmentation and biological tracking. In the tutorial, methods will be explained from first principles that allow the researcher to apply the algorithms in his/her own domain and enable the end-user to understand the operation and design choices involved. Examples will draw from recent applications in the analysis of murine rolling leukocytes and Drosophila neurons. Code examples will be given to the participants that allow basic examples to be executed and explained.
Tutorial topics:
Bio
Scott Acton is Professor of Electrical & Computer Engineering and of Biomedical Engineering at the University of Virginia. He received his M.S. and Ph.D. degrees at the University of Texas at Austin. He received his B.S. degree at Virginia Tech. Professor Acton’s laboratory at UVA is called VIVA - Virginia Image and Video Analysis. They specialize in image analysis problems. Most work in VIVA is biomedically or biologically oriented. Professor Acton has over 225 publications in the image analysis area including the recent books Biomedical Image Analysis: Tracking and Biomedical Image Analysis: Segmentation.
Professor Acton has been at the University of Virginia since 2000. Before that time, he worked in the academic world for Oklahoma State University and in the engineering world for AT&T, Motorola and the Mitre Corporation.
.
