Development of a High Throughput Software Pipeline For Microfluidic Image Analysis

The proposed project will have the intern contributing to software development on three core projects: Development of an autofocus system that can be integrated with mechanical control of the microscope objective/stage, improving the image processing pipeline through refinements to database integration and UI/UX, and improvements to experiment flow/reporting by integrating report templates into the reporting process and providing intermediate result access to staff through visualizations in the internal company portal. Completing these projects will provide several benefits. Integrating autofocus will improve data collection for lab staff and require less manual adjustment or rejection of out-of-focus frames during an experiment. Improvements to the image processing will provide faster, more accurate, and more automated image processing to reduce manual effort while increasing experiment throughput. Improving our reporting products will also reduce manual effort by staff while standardizing reporting materials for clients across the organization. Finally, improvements to the internal portal will provide better guidance for lab staff as a project is conducted.

Faculty Supervisor:

Peichun Amy Tsai

Student:

Partner:

Interface Fluidics

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program: