EyesIQ

The current EyesIQ system has a few limitations in terms of performance and accuracy:To be able to stitch images from a 2D microscope slide, the 2D position from one image to another needs to be calculated. This process is called image registration. However, inaccuracy in the image registration algorithm introduces a slight error in calculated image position. As more images are being stitched together, the image registration error accumulates. For example, the image position error is more noticeable when the path of the images form a loop. If the image registration is errorless throughout the entire path, the first image position and the last image position should be exactly the same. Namely, the images should be right on top of each other. However, due to accumulated image registration error, the 2D positions of the first image and the last image are inconsistent.

Faculty Supervisor:

Matei Ripeanu

Student:

Partner:

Discipline:

Engineering

Sector:

University:

The University of British Columbia

Program:

Accelerate