Abstract
Synaptic interaction between specific retinal cells are crucial to enable the shaping of different visual responses, for example to detect orientations in the visual world. However, it is not clear what role the glial cells in the retina play in the establishment and/or organization of synapses. Although it is possible to investigate this using electron microscopy, the current methods to analyse 3D-EM data in the retina are lacking speed and precision. This project will apply and optimize machine-learning approaches to analyse EM stacks from zebrafish retina and thus enable the ultrastructural investigation of synapses between distinct cells in the eye.
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