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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.

Host institution

TEL AVIV UNIVERSITY
Net EU contribution
€ 150 000,00
Address
Ramat Aviv
69978 Tel Aviv
Israel

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Activity type
Higher or Secondary Education Establishments
Other funding
No data

Beneficiaries (1)

TEL AVIV UNIVERSITY
Israel
Net EU contribution
€ 150 000,00
Other funding
No data