Grants and Contributions:

Title:
Expanding the use of high-speed sCMOS cameras into selective 3-dimensional imaging
Agreement Number:
EGP
Agreement Value:
$24,999.00
Agreement Date:
Oct 18, 2017 -
Organization:
Natural Sciences and Engineering Research Council of Canada
Location:
Newfoundland and Labrador, CA
Reference Number:
GC-2017-Q3-00480
Agreement Type:
Grant
Report Type:
Grants and Contributions
Additional Information:

Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019).

Recipient's Legal Name:
Yethiraj, Anand (Memorial University of Newfoundland)
Program:
Engage Grants for universities
Program Purpose:

High-speed cameras have provided unprecedented ability to look at biological live-cell processes in real time asx000D
well as machine vision in manufacturing processes. In both cases, one obtains two-dimensional image series ofx000D
three-dimensional objects. Accessing real-time information outside a two-dimensional (X-Y) plane, i.e., in X,x000D
Y, and Z dimensions, is a challenge. Typical confocal scanning microscopes address the problem ofx000D
visualization in 3 dimensions. However, such microscopes are expensive (of order $500,000) and, nevertheless,x000D
have limited capabilities for processes that involve high-speed out-of-plane motions.x000D
Accessing real-time information in three dimensions has been a challenge that our commercial partner, Optikonx000D
Corporation Ltd., is keen to resolve. To solve this problem, the proposed collaborative work aims to establish ax000D
procedure that uses known components - a scientific CMOS camera (sCMOS), along with high speed focusingx000D
optics - to get 3D information without requiring true confocal scanning. The end point of this proposal wouldx000D
be a Technical Application Note that enables future purchasers of sCMOS cameras from the commercialx000D
partner, Optikon Corporation Ltd., to have access to clear guidelines on how to integrate high-speed focusingx000D
optics with a sCMOS camera in order to be able to visualize multiple regions in X,Y and Z in real time.