Localization-based super-resolution microscopy (or called localization microscopy) rely on repeated imaging and localization of active molecules, and the spatial resolution enhancement of localization microscopy is bu...
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Localization-based super-resolution microscopy (or called localization microscopy) rely on repeated imaging and localization of active molecules, and the spatial resolution enhancement of localization microscopy is built upon the sacrifice of its temporal resolution. Developing algorithms for high-density localization of active molecules is a promising approach to increase the speed of localization microscopy. Here we present a new algorithm called SSM_BIC for such purpose. The SSM_BIC combines the advantages of the Structured Sparse Model (SSM) and the Bayesian Information Criterion (BIC). Through simulation and experimental studies, we evaluate systematically the performance between the SSM_BIC and the conventional Sparse algorithm in high-density localization of active molecules. We show that the SSM_BIC is superior in processing single molecule images with weak signal embedded in strong background. (C) 2011 Optical Society of America
We report a high performance long-wavelength IR dual-band imager based on type-II superlattices with 100% cutoff wavelengths at 9: 5 mu m (blue channel) and 13 mu m (red channel). Test pixels reveal background-limited...
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We report a high performance long-wavelength IR dual-band imager based on type-II superlattices with 100% cutoff wavelengths at 9: 5 mu m (blue channel) and 13 mu m (red channel). Test pixels reveal background-limited behavior with specific detectivities as high as similar to 5 x 10(11) Jones at 7: 9 mu m in the blue channel and similar to 1 x 10(11) Jones at 10: 2 mu m in the red channel at 77 K. These performances were attributed to low dark currents thanks to the M-barrier and Fabry-Perot enhanced quantum efficiencies despite using thin 2 mu m absorbing regions. In the imager, the high signal-to-noise ratio contributed to median noise equivalent temperature differences of similar to 20 milli-Kelvin for both channels with integration times on the order of 0.5 ms, making it suitable for high speed applications. (C) 2011 Optical Society of America
Hyperspectral imaging exploits the information contained in the spectrum of light, and has many applications. Systems require specialized cameras and application-specific imageprocessing. As an example, we describe a...
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ISBN:
(纸本)9781557529107
Hyperspectral imaging exploits the information contained in the spectrum of light, and has many applications. Systems require specialized cameras and application-specific imageprocessing. As an example, we describe an airborne system with real-time imageprocessing.
作者：
Wei, HuiWang, Xiao-MeiFudan Univ
Dept Comp Sci Lab Cognit Model & Algorithm Brain Sci Res Ctr Shanghai 200433 Peoples R China
According to Biology there is a large disinhibitory area outside the classical receptive field (CRF), which is called as non-classical receptive field (nCRF). Combining CRF with nCRF could increase the sparseness, rel...
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ISBN:
(纸本)9781424496365
According to Biology there is a large disinhibitory area outside the classical receptive field (CRF), which is called as non-classical receptive field (nCRF). Combining CRF with nCRF could increase the sparseness, reliability and precision of the neuronal responses. This paper is aimed at the realization of the neural circuit and the dynamic adjustment mechanism of the receptive field (RF) with respect to nCRF. On the basis of anatomical and electrophysiological evidence, we constructed a neural computational model, which can represent natural images faithfully, simply and rapidly. And the representation can significantly improve the subsequent operation efficiency such as segmentation or integration. This study is of particular significance in the development of efficient image processing algorithms based on neurobiological mechanisms. The RF mechanism of ganglion cell (GC) is the result of a long term of evolution and optimization of self-adaptability and high representation efficiency. So its performance evaluation in natural imageprocessing is worthy of further study.
A novel method for evaluation of bacterial colonies number (Colony Forming Units - CFU), is described. Proposed algorithm, based on the Mellin transform, allows the CFU evaluation, invariant for the spatial orientatio...
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A novel method for evaluation of bacterial colonies number (Colony Forming Units - CFU), is described. Proposed algorithm, based on the Mellin transform, allows the CFU evaluation, invariant for the spatial orientation and scale changes. The proposed method involves image recording of bacteria grown in Petri dishes, calculation of the Fourier spectrum followed by coordinates transformation, and determination of the Mellin transform. It was proved that there is a high correlation between CFU and maxima of Mellin spectra. The method was practically implemented for evaluation of antibacterial activity of silver-based nanomaterials and the effect of an additional laser light irradiation. (C) 2010 Optical Society of America
Stripe nonuniformity is very typical in line infrared focal plane arrays (IR-FPA) and uncooled staring IR-FPA. In this paper, the mechanism of the stripe nonuniformity is analyzed, and the gray-scale co-occurrence mat...
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Stripe nonuniformity is very typical in line infrared focal plane arrays (IR-FPA) and uncooled staring IR-FPA. In this paper, the mechanism of the stripe nonuniformity is analyzed, and the gray-scale co-occurrence matrix theory and optimization theory are studied. Through these efforts, the stripe nonuniformity correction problem is translated into the optimization problem. The goal of the optimization is to find the minimal energy of the image's line gradient. After solving the constrained non-linear optimization equation, the parameters of the stripe nonuniformity correction are obtained and the stripe nonuniformity correction is achieved. The experiments indicate that this algorithm is effective and efficient. (C) 2010 Optical Society of America
We applied compressed sensing (CS) to spectral domain optical coherence tomography (SD OCT) and studied its effectiveness. We tested the CS reconstruction by randomly undersampling the k-space SD OCT signal. We achiev...
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We applied compressed sensing (CS) to spectral domain optical coherence tomography (SD OCT) and studied its effectiveness. We tested the CS reconstruction by randomly undersampling the k-space SD OCT signal. We achieved this by applying pseudo-random masks to sample 62.5%, 50%, and 37.5% of the CCD camera pixels. OCT images are reconstructed by solving an optimization problem that minimizes the l(1) norm of a transformed image to enforce sparsity, subject to data consistency constraints. CS could allow an array detector with fewer pixels to reconstruct high resolution OCT images while reducing the total amount of data required to process the images. (C) 2010 Optical Society of America
This paper proposes a model of a visual-attention system and a technique for using it when solving problems of the autonomous navigation of mobile robotic complexes. An analysis is given of known algorithms for locali...
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This paper proposes a model of a visual-attention system and a technique for using it when solving problems of the autonomous navigation of mobile robotic complexes. An analysis is given of known algorithms for localization and mapping of the medium in order to determine factors that affect their operating rate. A model of a visual-attention system is used in order to choose limited regions of input images for processing by localization algorithms and for constructing a map of the medium;this makes it possible to provide the necessary image-processing speed. The results of simulated experiments confirm that the proposed visual-attention model is effective. (C) 2010 Optical Society of America.
The Durham adaptive optics (AO) real-time controller was initially a proof of concept design for a generic AO control system. It has since been developed into a modern and powerful central-processing-unit-based real-t...
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The Durham adaptive optics (AO) real-time controller was initially a proof of concept design for a generic AO control system. It has since been developed into a modern and powerful central-processing-unit-based real-time control system, capable of using hardware acceleration (including field programmable gate arrays and graphical processing units), based primarily around commercial off-the-shelf hardware. It is powerful enough to be used as the real-time controller for all currently planned 8m class telescope AO systems. Here we give details of this controller and the concepts behind it, and report on performance, including latency and jitter, which is less than 10 mu s for small AO systems. (C) 2010 Optical Society of America
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