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Perceptual quantization (PQ) for HDR video coding has good perceptual uniformity in the luminance range with the modest bit-depth. However, the dynamic range of HDR videos is not well-used in PQ according to contents, especially for chroma channels. Thus, there exist the wasted dynamic ranges in PQ which cause detail loss and color distortions. In this paper, we propose adaptive quantization-based...
Super resolution localization microscopy (SRLM) techniques such as STORM and PALM overcome the ∼200nm diffraction limit of conventional light microscopy by randomly activating separate fluorophores over time and computationally aggregating their nanometer resolution detected locations for image reconstruction. However, a basic limitation of current SRLM approaches for live cell imaging is their low...
We constructed a mini Compton camera based on an array of CdZnTe detectors and assessed its spectral and imaging properties. The entire array consisted of 6×6 Frisch-grid CdZnTe detectors, each with a size of 6×6×15 mm3. Since it is easier and more practical to grow small CdZnTe crystals rather than large monolithic ones, constructing a mosaic array of parallelepiped crystals can be an effective way...
Localization-based super-resolution techniques are revolutionizing biological research by breaking the diffraction limit of fluorescence microscopy. Each super-resolution image is reconstructed from a time series of images of randomly activated fluorophores. Here, a fundamental question is to determine the minimal imaging length so that the reconstructed image faithfully reflects the biological structures...
Background fluorescence is a frequently encountered problem in biological fluorescence microscopy. It often significantly lowers the image signal-to-noise ratio and poses substantial challenges to subsequent computational image analysis. Here we propose a general computational method for separating and removing background fluorescence from a single fluorescence microscopy image. The method is formulated...
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