Calcium Imaging Data Analysis with Interactive Visualization

With recent advances in microscopy techniques for calcium imaging, scientists are now able to monitor the neurons in large brain areas of living animals. However, this also creates significant challenges for scientists who must make sense of the large and complex datasets generated. As a result, there is a need for new componential methods and systems to augment current workflows used by neuroscientists. This study seeks to address this problem by leveraging advanced visualization techniques, building on the results of our previous successful collaboration with a partner. Specifically, we aim to design, develop, and evaluate an interactive visual system that allows users, who are often not machine learning experts, to better harness complex models and visually discover insights from the data that serve their domain-specific goals. In addition to the visual system, this research will also contribute useful design guidelines, investigations, and experimental results for future research on relevant topics such as calcium imaging and neuro activity analysis.

Faculty Supervisor:

Jian Zhao

Student:

Partner:

Mightex Systems

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program: