Digital Public Defence: Ingvild Elise Bjerke
MSc Ingvild Elise Bjerke at Institute of Basic Medical Sciences will be defending the thesis Quantifying cellular parameters across the murine brain: New practices for integrating and analysing neuroscience data using 3D brain atlases for the degree of PhD (Philosophiae Doctor).
The public defence will be held as a video conference over Zoom.
The defence will follow regular procedure as far as possible, hence it will be open to the public and the audience can ask ex auditorio questions when invited to do so.
Due to copyright reasons, an electronic copy of the thesis must be ordered from the faculty. In order for the faculty to have time to process the order, it must be received by the faculty no later than 2 days prior to the public defence. Orders received later than 2 days before the defence will not be processed. Inquiries regarding the thesis after the public defence must be addressed to the candidate.
Digital Trial Lecture – time and place
- First opponent: PhD, Director Sean Hill, Krembil Centre for Neuroinformatics (CAMH), Canada
- Second opponent: PhD, Head of Team Nicola Palomero-Gallagher, Institute of Neuroscience and Medicine (INM‐1) Research Centre Jülich, Germany
- Third member and chair of the evaluation committee: Associate Professor Koen Vervaeke, University of Oslo
Chair of the Defence
Professor II Kjetil Tasken, University of Oslo
Trygve B. Leergaard, University of Oslo
Efforts to advance our understanding of the brain has led to an exponentially growing number of publications. However, research reporting practices are often insufficient for independent researchers to interpret and replicate findings, and underlying data are rarely made available. This hampers efforts to compare, integrate and re-use data from different studies.
Bjerke and colleagues aimed to develop new standards and workflows to facilitate data integration in neuroscience. They defined new standards for reporting anatomical locations in murine brains, and showed how new methods to spatially define data in three-dimensional brain reference atlases can facilitate integration of data from multiple studies. They further built a database of published quantitative data from the murine basal ganglia, demonstrating how such data can be collected and compared. Lastly, they combined spatial registration of microscopic images to brain atlases with semi-automatic image analysis to quantify cell numbers and densities across murine brains. The work presented in this thesis together demonstrates how neuroscience data can be organized, integrated, and shared to facilitate their re-use.
Contact the research support staff.