Project description
Microscope add-on enhances the resolution imaging of large tissue volumes
Multi-photon microscopy is a laser-based technique which peers deep into the brain. Trying to capture cellular activity across large tissue volumes with multi-photon microscopy induces faster imaging. As a result, fewer and fewer photons become available to form images. The challenge therefore lies in trying to obtain meaningful images under these dim conditions. A detector-readout method called photon counting could tackle this issue; however, its implementation requires extensive electronics knowledge and custom components. The EU-funded PySightBox project plans to commercialise PySight, a hardware and open-source software solution whose easy installation procedure and integration with state-of-the-art hardware eliminate such concerns. Using PySight, microscopists can conduct rapid imaging of large volumes over long sessions, without compromising spatial or temporal resolution.
Fields of science
Programme(s)
Funding Scheme
ERC-POC-LS - ERC Proof of Concept Lump Sum Pilot
Host institution
69978 Tel Aviv
Israel
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Beneficiaries (1)
69978 Tel Aviv
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