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A cost-effective, out-of-the-box photon counting platform for multi-photon in vivo microscopy applications

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.

Call for proposal

ERC-2019-PoC
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Funding Scheme

ERC-POC-LS - ERC Proof of Concept Lump Sum Pilot

Host institution

TEL AVIV UNIVERSITY
Address
Ramat Aviv
69978 Tel Aviv
Israel
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 150 000

Beneficiaries (1)

TEL AVIV UNIVERSITY
Israel
EU contribution
€ 150 000
Address
Ramat Aviv
69978 Tel Aviv
Activity type
Higher or Secondary Education Establishments