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  • Institute for Quantum Computing

    Novel Infrared Camera Based on Quantum Sensors for Biomedical Applications

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    camera CMOS electrical & computer engineering eye imaging infrared oct resolution seed fund sensing single photon UV

    Summary 

    In this project we develop a novel infrared camera with low noise and high detection efficiency for biomedical applications of optical coherence tomography (OCT) using quantum materials. OCT is a technique used to image the back of the eye and allow for the diagnosis of detrimental eye conditions, for e.g., macular degeneration, diabetic retinopathy and glaucoma. It can also be used for early detection of Alzheimer’s disease. However, current OCT systems are limited by their low sensitivity and spatial resolution. To provide more precise early diagnosis of potentially blinding ocular diseases, we utilize the unique expertise of a collaborative team of researchers to develop an infrared camera with sub-micron resolution and single-photon sensitivity: design and nano fabrication of quantum sensors (Reimer), design and fabrication of CMOS electrical read-out circuits to make the camera (Karim and Levine), and extensive knowledge and research expertise in the area of OCT (Bizheva). At the heart of the infrared camera is a single photon detector recently developed through another TQT-supported project, Next Generation Quantum Sensors. This sensor is based on nanostructured arrays of tapered semiconductor nanowires and is capable to detect light with high efficiency, speed, and timing resolution over an unprecedented wavelength range from the UV to infrared, all while operating at room temperature. This sensor will be integrated into a prototype camera and into existing OCT systems to realize enhanced OCT images of the human retina and cornea in-vivo.

    Figure 1. Artist impression of a CCD camera to image the eye for potentially blinding diseases. The underlying quantum technology in the camera are arrays of semiconductor nanowires with a tapered shape to detect light more efficiently at low power levels at frequencies needed to image the eye.

    Principal Investigator (PI) or Team Coordinator

    Michael Reimer

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