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Deep learning for rapid and robust fluorescence lifetime imaging
Deep-learning approach has the potential to unlock fluorescent lifetime imaging for clinical applications. Fluorescence lifetime imaging microscopy (FLIM) is a widely used tool for biomedical imaging that offers many unique advantages over typical intensity-based fluorescence microscopy. FLIM is advancing fundamental biological research by enabling...
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An efficient codec for improved quality streaming video at low bitrates
Background
The ultimate goal of a successful video compression system is to reduce data volume while retaining the perceptual quality of the decompressed data. Standard video compression techniques, such as H.264, HEVC, VP9 and others, have well-known limits and tradeoffs between rate and distortion, especially at low bitrates. Better video compression...
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Diagnosis of lung cancer subtypes using rapid molecular test
New cancer subtyping system can improve treatment options without disrupting clinical workflow.Problem Lung cancer is the leading cause of cancer death, with over 100,000 people dying per year.1 As most tumors are inoperable by the time the cancer is detected, patients are increasingly being placed on tailored treatment regimens. Prescribing targeted...
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Hard matrix multiplier blocks in field-programmable gate arrays
Rapidly changing algorithms and network architectures in the field of machine learning make Field Programmable Gate Array (FPGA) based designs an attractive solution for accelerating neural networks. However, the generic building blocks available in current FPGAs limit the acceleration that can be achieved. This technology, developed by researchers...
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Real-time automated control and characterization of drilling fluid rheology
Problem statementDrilling is one of the most expensive activities in any oil and gas operation. Monitoring drilling and completion fluid and maintaining these at desired levels of viscosity and density is essential for optimum drilling fluid performance, efficient hole cleaning, and Equivalent Circulating Density (ECD) management, as well as preventing...
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FaultSeg3D: Fast and accurate 3D fault delineation
Problem statementAccurate 3D mapping of faults from seismic images is essential for seismic structural interpretation, reservoir characterization and well placement. Current methods for fault delineation depend on calculating attributes that estimate seismic reflection continuities and discontinuities. These methods are slow and can take days to process....
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