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With the fundamental trade-off between speed and sensitivity, existing quantitative phase imaging (QPI) systems for diagnostics and cell classification are often limited to batch processing only small amount of offline data. While quantitative asymmetric-detection time-stretch optical microscopy (Q-ATOM) offers a unique optical platform for ultrafast and high-sensitivity quantitative phase cellular...
Adaptive beamforming has been well considered as a potential solution for improving the imaging quality of medical ultrasound systems. Despite the promised improvement in lateral resolution, image contrast and imaging penetration, the use of adaptive beamforming is substantially more computationally demanding than conventional delay-and-sum beamformers. While a dedicated hardware solution may be able...
A real-time adaptive minimum variance (MV) beamformer realized using graphics processing units (GPUs) is presented. MV adaptive beamforming technique is attractive as it is capable of producing high quality images with narrow mainlobe width and low sidelobe level. However, because of its substantially higher computational requirements, realizing MV in real-time has been prohibitively difficult. Recent...
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