Elaboration of a high-throughput toolbox for analysis and visualization of mesoscale longitudinal cortical imaging dataset

The analysis of large, complex data helps scientists from different fields (e.g. physics, chemistry, biology) to provide new insights on their research. The field of neuroscience is no different. Larger and more complex studies which create huge amount of data are more and more common. Thus, the development of tools capable of processing large datasets is necessary to further advance our understanding of the brain function. Despite some limited efforts to address this issue, there is a lack of software resources capable of dealing with these datasets. Thus, in this project, the intern will contribute to the creation of a new open source software designed to manage and process large datasets from brain optical imaging experiments. This project will help the partner organization to gain visibility in the market of biomedical research instruments by associating the software with the equipment sold by the company.

Faculty Supervisor:

Matthieu Vanni

Student:

Partner:

LabeoTech

Discipline:

Life Sciences

Sector:

Manufacturing

University:

Université de Montréal

Program: