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BRAIN IMAGING WITH ARRAYS OF QUANTUM SENSORS

Source: EU Funding & Tenders Portal

Project
Ended

The goal of this project is to deploy quantum sensing technology in life sciences applications by developing and implementing arrays of quantum sensors, based on superconducting single-photon detectors, in a multi-photon microscope to greatly enhance imaging depth and resolution in live tissues. Currently the depth and imaging resolution in light microscopy is limited because of the low specificat

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The project "BRAIN IMAGING WITH ARRAYS OF QUANTUM SENSORS" is an infrastructure initiative in the LNG, Advanced Electronics sector, located in N/A, Netherlands. Taiyo aggregates data from EU Funding & Tenders Portal, including information on sponsoring government bodies, EPCs, and contractors.

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Description

Description

The goal of this project is to deploy quantum sensing technology in life sciences applications by developing and implementing arrays of quantum sensors, based on superconducting single-photon detectors, in a multi-photon microscope to greatly enhance imaging depth and resolution in live tissues. Currently the depth and imaging resolution in light microscopy is limited because of the low specifications of light detectors. A proof-of-concept light sensing technology, developed in a previous FET-OPEN project can overcome this limitation. This technology consists of multipixel superconducting nanowires that have shown to be extremely sensitive, combining high efficiency with low noise and high time resolution. However, in order to deploy these detectors in multi-photon microscopy, the active area of the sensor needs to enlarged with an order of magnitude. In this project Brainiaqs we will develop state-of-the-art technology, including cryogenic cooling systems, (cryogenic) amplification and nanofabrication to build and operate an Array of Quantum sensors. In addition the new device will be integrated in a multi-photon microscope and deployed in an experiment, aiming at doubling the imaging depth and resolution, with respect to current technique. This will be a huge breakthrough for biological imaging experiments.

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