Translational Optical Molecular Imaging: Nano to Micro

Peter Saggau

Ph.D., Ludwig-Maximilians-Universitat, Munich, Germany (1988)
Professor, Department of Neuroscience
Baylor College of Medicine

Research (Saggau Laboratory)
Dr. Saggau specializes on information processing in the brain. His laboratory studies the fast-synaptic communication between nerve cells and the information processing that occurs on the level of individual neurons. His research is carried out with combined experimental and theoretical approaches, using advanced optical imaging and computational techniques. To overcome the technical difficulties inherent to imaging structure and function of living nerve cells in brain tissue, his group is developing novel optical and computational tools. Dr. Saggau's research is funded by both the NIH and the NSF, and has been published in numerous journal articles, book chapters, and conference proceedings. He serves as grant reviewer of national and international funding agencies, and is on the editorial board of the Journal of Neural Engineering (IOP), and Brain Structure and Function (Springer). He is a member of many professional organizations and an elected fellow of the Institute of Physics. He has trained many pre- and postdoctoral students as well as numerous undergraduate students and research interns.

Education and experience
Dr. Saggau holds degrees from the School of Engineering of the Technical University Munich, and the Medical School of the Ludwig-Maximillians University, Munich, Germany. In 1990, he joined the faculty of the Baylor College of Medicine where he is a principal investigator and laboratory director in the Department of Neuroscience. He also holds appointments in the Department of Molecular Physiology and Biophysics at Baylor, and in the Department of Bioengineering at Rice University.




Debugging Information
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Template /optical/Saggau.cfm
Time Stamp 20-Aug-08 08:29 AM
Locale English (US)
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Execution Time

Total Time Avg Time Count Template
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31 ms  TOTAL EXECUTION TIME
red = over 250 ms average execution time


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Debug Rendering Time: 172 ms