The Brain Image Analysis Unit integrates machine learning techniques such as deep learning into new algorithms to improve state-of-the-art processing and analysis of brain imaging data. Our unit processes multi-modal brain imaging data such as two-photon, bright-field microscopy images, and MRI.
We are in close collaboration with scientists from the
neural-scientific and medical research fields.
As a member of the Brain/MINDS project,
the unit analyzes image data of the brain of the common marmoset monkey
to help better understand the structure and function of the primate brain.