The Experts below are selected from a list of 58182 Experts worldwide ranked by ideXlab platform
Viktor Gruev - One of the best experts on this subject based on the ideXlab platform.
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velocity saturation current mode cmos Imaging Sensor
International Symposium on Circuits and Systems, 2013Co-Authors: Raphael Njuguna, Viktor GruevAbstract:A current-mode CMOS Imaging Sensor is presented in this paper. The read-out transistor in the photo pixel operates in velocity saturation regime and allows for high linearity between integrated photo charges and output drain current. The column parallel read-out circuitry implements a novel current conveyor with a feedback mechanism which improves matching of the output currents across the Imaging array. Correlated double sampling (CDS) is performed on-chip in order to improve noise characteristics of the imager. A prototype of the proposed Imaging Sensor was fabricated in 0.18μm triple well CMOS process. The Sensor operation and measurements are presented.
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ISCAS - Velocity saturation current-mode CMOS Imaging Sensor
2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013Co-Authors: Raphael Njuguna, Viktor GruevAbstract:A current-mode CMOS Imaging Sensor is presented in this paper. The read-out transistor in the photo pixel operates in velocity saturation regime and allows for high linearity between integrated photo charges and output drain current. The column parallel read-out circuitry implements a novel current conveyor with a feedback mechanism which improves matching of the output currents across the Imaging array. Correlated double sampling (CDS) is performed on-chip in order to improve noise characteristics of the imager. A prototype of the proposed Imaging Sensor was fabricated in 0.18μm triple well CMOS process. The Sensor operation and measurements are presented.
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integrated spectral polarization Imaging Sensor with aluminum nanowire polarization filters
Optics Express, 2012Co-Authors: Meenal Kulkarni, Viktor GruevAbstract:Current division-of-focal-plane polarization Imaging Sensors can perceive intensity and polarization in real time with high spatial resolution, but are oblivious to spectral information. We present the design of such a Sensor, which is also spectrally selective in the visible regime. We describe its extensive spectral and polarimetric characterization. The Sensor has a pixel pitch of 5 µm and an Imaging array of 168 by 256 elements. Each element comprises spectrally sensitive vertically stacked photodetectors integrated with a 140 nm pitch nanowire linear polarizer. The Sensor has a maximum measured SNR of 45 dB, extinction ratio of ~3.5, QE of 12%, and linearity error of 1% in the green channel. We present sample spectral-polarization images.
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signal to noise analysis of stokes parameters in division of focal plane polarimeters
Optics Express, 2010Co-Authors: Robert J Perkins, Viktor GruevAbstract:An analysis of the temporal noise in the Stokes parameters computed by division of focal plane polarimeters is presented. Theoretical estimations of the Stokes parameter signal-to-noise ratios for CCD polarization Imaging Sensors with both 4-polarizer and 2-polarizer micropolarization filter arrays are derived. The theoretical derivation is verified with measurements from an integrated polarization Imaging Sensor composed of a CCD Imaging array and aluminum nanowire polarization filters. The measured data obtained from the CCD polarimeters matches the theoretical derivations of the temporal noise model of the Stokes parameters.
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ccd polarization Imaging Sensor with aluminum nanowire optical filters
Optics Express, 2010Co-Authors: Viktor Gruev, Robert J Perkins, Timothy YorkAbstract:We report an Imaging Sensor capable of recording the optical properties of partially polarized light by monolithically integrating aluminum nanowire optical filters with a CCD Imaging array. The Imaging Sensor, composed of 1000 by 1000 Imaging elements with 7.4μm pixel pitch, is covered with an array of pixel-pitch matched nanowire optical filters with four different orientations offset by 45°. The polarization Imaging Sensor has a signal-to-noise ratio of 45dB and captures intensity, angle and degree of linear polarization in the visible spectrum at 40 frames per second with 300mW of power consumption.
Xia Chen - One of the best experts on this subject based on the ideXlab platform.
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a universal 3d Imaging Sensor on a silicon photonics platform
Nature, 2021Co-Authors: Christopher Rogers, Alexander Y Piggott, David J Thomson, Robert F Wiser, Ion E Opris, Steven A Fortune, Andrew J Compston, Alexander Gondarenko, Fanfan Meng, Xia ChenAbstract:Accurate three-dimensional (3D) Imaging is essential for machines to map and interact with the physical world1,2. Although numerous 3D Imaging technologies exist, each addressing niche applications with varying degrees of success, none has achieved the breadth of applicability and impact that digital image Sensors have in the two-dimensional Imaging world3–10. A large-scale two-dimensional array of coherent detector pixels operating as a light detection and ranging system could serve as a universal 3D Imaging platform. Such a system would offer high depth accuracy and immunity to interference from sunlight, as well as the ability to measure the velocity of moving objects directly11. Owing to difficulties in providing electrical and photonic connections to every pixel, previous systems have been restricted to fewer than 20 pixels12–15. Here we demonstrate the operation of a large-scale coherent detector array, consisting of 512 pixels, in a 3D Imaging system. Leveraging recent advances in the monolithic integration of photonic and electronic circuits, a dense array of optical heterodyne detectors is combined with an integrated electronic readout architecture, enabling straightforward scaling to arbitrarily large arrays. Two-axis solid-state beam steering eliminates any trade-off between field of view and range. Operating at the quantum noise limit16,17, our system achieves an accuracy of 3.1 millimetres at a distance of 75 metres when using only 4 milliwatts of light, an order of magnitude more accurate than existing solid-state systems at such ranges. Future reductions of pixel size using state-of-the-art components could yield resolutions in excess of 20 megapixels for arrays the size of a consumer camera Sensor. This result paves the way for the development and proliferation of low-cost, compact and high-performance 3D Imaging cameras that could be used in applications from robotics and autonomous navigation to augmented reality and healthcare. A compact, high-performance silicon photonics-based light detection and ranging system for three-dimensional Imaging is developed that should be amenable to low-cost mass manufacturing
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a universal 3d Imaging Sensor on a silicon photonics platform
arXiv: Applied Physics, 2020Co-Authors: Christopher Rogers, Alexander Y Piggott, David J Thomson, Robert F Wiser, Ion E Opris, Steven A Fortune, Andrew J Compston, Alexander Gondarenko, Fanfan Meng, Xia ChenAbstract:Accurate 3D Imaging is essential for machines to map and interact with the physical world. While numerous 3D Imaging technologies exist, each addressing niche applications with varying degrees of success, none have achieved the breadth of applicability and impact that digital image Sensors have achieved in the 2D Imaging world. A large-scale two-dimensional array of coherent detector pixels operating as a light detection and ranging (LiDAR) system could serve as a universal 3D Imaging platform. Such a system would offer high depth accuracy and immunity to interference from sunlight, as well as the ability to directly measure the velocity of moving objects. However, due to difficulties in providing electrical and photonic connections to every pixel, previous systems have been restricted to fewer than 20 pixels. Here, we demonstrate the first large-scale coherent detector array consisting of 512 ($32 \times 16$) pixels, and its operation in a 3D Imaging system. Leveraging recent advances in the monolithic integration of photonic and electronic circuits, a dense array of optical heterodyne detectors is combined with an integrated electronic readout architecture, enabling straightforward scaling to arbitrarily large arrays. Meanwhile, two-axis solid-state beam steering eliminates any tradeoff between field of view and range. Operating at the quantum noise limit, our system achieves an accuracy of $3.1~\mathrm{mm}$ at a distance of 75 metres using only $4~\mathrm{mW}$ of light, an order of magnitude more accurate than existing solid-state systems at such ranges. Future reductions of pixel size using state-of-the-art components could yield resolutions in excess of 20 megapixels for arrays the size of a consumer camera Sensor. This result paves the way for the development of low cost and high performance 3D Imaging cameras, enabling new applications from robotics to autonomous navigation.
Christopher Rogers - One of the best experts on this subject based on the ideXlab platform.
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a universal 3d Imaging Sensor on a silicon photonics platform
Nature, 2021Co-Authors: Christopher Rogers, Alexander Y Piggott, David J Thomson, Robert F Wiser, Ion E Opris, Steven A Fortune, Andrew J Compston, Alexander Gondarenko, Fanfan Meng, Xia ChenAbstract:Accurate three-dimensional (3D) Imaging is essential for machines to map and interact with the physical world1,2. Although numerous 3D Imaging technologies exist, each addressing niche applications with varying degrees of success, none has achieved the breadth of applicability and impact that digital image Sensors have in the two-dimensional Imaging world3–10. A large-scale two-dimensional array of coherent detector pixels operating as a light detection and ranging system could serve as a universal 3D Imaging platform. Such a system would offer high depth accuracy and immunity to interference from sunlight, as well as the ability to measure the velocity of moving objects directly11. Owing to difficulties in providing electrical and photonic connections to every pixel, previous systems have been restricted to fewer than 20 pixels12–15. Here we demonstrate the operation of a large-scale coherent detector array, consisting of 512 pixels, in a 3D Imaging system. Leveraging recent advances in the monolithic integration of photonic and electronic circuits, a dense array of optical heterodyne detectors is combined with an integrated electronic readout architecture, enabling straightforward scaling to arbitrarily large arrays. Two-axis solid-state beam steering eliminates any trade-off between field of view and range. Operating at the quantum noise limit16,17, our system achieves an accuracy of 3.1 millimetres at a distance of 75 metres when using only 4 milliwatts of light, an order of magnitude more accurate than existing solid-state systems at such ranges. Future reductions of pixel size using state-of-the-art components could yield resolutions in excess of 20 megapixels for arrays the size of a consumer camera Sensor. This result paves the way for the development and proliferation of low-cost, compact and high-performance 3D Imaging cameras that could be used in applications from robotics and autonomous navigation to augmented reality and healthcare. A compact, high-performance silicon photonics-based light detection and ranging system for three-dimensional Imaging is developed that should be amenable to low-cost mass manufacturing
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a universal 3d Imaging Sensor on a silicon photonics platform
arXiv: Applied Physics, 2020Co-Authors: Christopher Rogers, Alexander Y Piggott, David J Thomson, Robert F Wiser, Ion E Opris, Steven A Fortune, Andrew J Compston, Alexander Gondarenko, Fanfan Meng, Xia ChenAbstract:Accurate 3D Imaging is essential for machines to map and interact with the physical world. While numerous 3D Imaging technologies exist, each addressing niche applications with varying degrees of success, none have achieved the breadth of applicability and impact that digital image Sensors have achieved in the 2D Imaging world. A large-scale two-dimensional array of coherent detector pixels operating as a light detection and ranging (LiDAR) system could serve as a universal 3D Imaging platform. Such a system would offer high depth accuracy and immunity to interference from sunlight, as well as the ability to directly measure the velocity of moving objects. However, due to difficulties in providing electrical and photonic connections to every pixel, previous systems have been restricted to fewer than 20 pixels. Here, we demonstrate the first large-scale coherent detector array consisting of 512 ($32 \times 16$) pixels, and its operation in a 3D Imaging system. Leveraging recent advances in the monolithic integration of photonic and electronic circuits, a dense array of optical heterodyne detectors is combined with an integrated electronic readout architecture, enabling straightforward scaling to arbitrarily large arrays. Meanwhile, two-axis solid-state beam steering eliminates any tradeoff between field of view and range. Operating at the quantum noise limit, our system achieves an accuracy of $3.1~\mathrm{mm}$ at a distance of 75 metres using only $4~\mathrm{mW}$ of light, an order of magnitude more accurate than existing solid-state systems at such ranges. Future reductions of pixel size using state-of-the-art components could yield resolutions in excess of 20 megapixels for arrays the size of a consumer camera Sensor. This result paves the way for the development of low cost and high performance 3D Imaging cameras, enabling new applications from robotics to autonomous navigation.
Soon Joon Yoon - One of the best experts on this subject based on the ideXlab platform.
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sensitivity enhancement of surface plasmon resonance Imaging using periodic metallic nanowires
Journal of Lightwave Technology, 2008Co-Authors: Kyung Min Byun, Michael L. Shuler, Soon Joon YoonAbstract:A nanowire-mediated surface plasmon resonance (SPR) Imaging is numerically investigated for enhanced sensitivity. The results calculated by rigorous coupled-wave analysis present that interplays between localized surface plasmons and surface plasmon polaritons contribute to sensitivity enhancement. Compared to conventional thin film-based SPR Imaging measurement, an optimal nanowire structure can provide sensitivity enhancement by 3.44 times as well as highly linear detection property for quantification of surface reactions of interests. This paper demonstrates the potential and limitation for a highly sensitive, label-free, and real-time SPR Imaging Sensor based on periodic metallic nanowires.
Malini Olivo - One of the best experts on this subject based on the ideXlab platform.
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Surface Plasmon Resonance Imaging Sensors: A Review
Plasmonics, 2014Co-Authors: Chi Lok Wong, Malini OlivoAbstract:Surface plasmon resonance (SPR) Imaging Sensors realize label-free, real-time, highly sensitive, quantitative, high-throughput biological interaction monitoring and the binding profiles from multi-analytes further provide the binding kinetic parameters between different biomolecules. In the past two decades, SPR Imaging Sensors found rapid increasing applications in fundamental biological studies, medical diagnostics, drug discovery, food safety, precision measurement, and environmental monitoring. In this paper, we review the recent advances of SPR Imaging Sensor technology towards high-throughput multi-analyte screening. Finally, we describe our multiplex spectral-phase SPR Imaging bioSensor for high-throughput biosensing applications.