SEgmentation of Neurons using Standard and SupEr-resolution mIcroscopy
SENSEI aims at accurately quantify neuronal morphology at tissue and molecular levels through the development of intelligent segmentation-based image processing algorithms and to improve the quality of neuronal imaging using new membrane probes for conventional and emerging super-resolution imaging techniques
SENSEI aims at accurately quantify neuronal morphology at tissue and molecular levels through the development of intelligent segmentation-based image processing algorithms and to improve the quality of neuronal imaging using new membrane probes for conventional and emerging super-resolution imaging techniques
The consortium
The consortium
Research Center "E. Piaggio"
University of Pisa
(UNIPI)
Institute of Psychiatry and Neurosciences of Paris
INSERM Unit 1266
(INSERM)
Lab for Nanobiology, Dept of Chemisty
KU Leuven
(KUL)