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Chemistry

Developing a Mathematical Model for Coherent Anti-Stokes Raman Scattering Imaging of Biological Processes in Living Cells

Project Leader(s): 

Postdoctoral fellow: Dr. Konstantin Popov, Physics, University of Ottawa

Lead faculty member: Dr. Lora Ramunno, Physics, University of Ottawa

Coherent Anti-Stokes Raman Scattering (CARS) microscopy is a very promising method of directly imaging biological processes occurring in living cells. It is unique because the imaging does not harm the cell, is molecule specific, and does not require the introduction of additional chemicals that may alter the biology. For example, CARS would allow us to visualize how viruses invade a cell membrane, which is still a mystery.

Prediction in Interacting Systems

Project Leader(s): 

Dr. Mike Kouritzin , (University of Alberta)

Project Website: 

http://www.math.ualberta.ca/pints/index.html

Project team: 
Andrew Heunis, (University of Waterloo)
Bruno Remilard, (HEC Montreal)
Douglas Blount, (Arizona State University)
Pierre Del Moral, (Universite Pal Sabatier)
Jie Xiong, (University of Alberta)
John Bowman, (University of Alberta)
Donald Dawson, (University of Toronto)
Edit Gombay, (University of Alberta)
Jack Macki, (University of Alberta)
Thomas G. Kurtz, (University of Wisconsin at Madison)
Yau Shu Wong, (University of Alberta)
Laurent Miclo, (Universte Paul Sabatier)
Non-academic participants: 

Optovation Inc.  Lockheed Martin Canada, Montréal, QC  Acoustic Positioning Research Inc., Edmonton, AB

Funding period: 
February 25, 2022 - March 31, 2021

This project uses mathematical filtering theory to develop computer tractable real time solutions for incomplete, corrupted information problems. These techniques have proven to be beneficial in defence, communications, media effects, and manufacturing. In 2002-2003, Optovation Inc. was added as a new partner, Lockheed Martin Corp. filed for two new patents and we formed a spin-off company, Random Knowledge Inc. to commercialize our technology in the areas of Network Security, Fraud Detection, and Finance.

Tags: 
information