Publications by authors named "Desheng Wen"

Registration of sequential star images is an important component of space observation. Especially for onboard devices, the efficiency and robustness of registration algorithms are particularly important. The typical star image registration approach based on star matching has a low tolerance for incorrect matching, and the time cost will increase rapidly as the number of stars increases.

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Compared with the traditional imaging systems, segmented planar imaging technology has the advantages of low mess, small size, and low power in the same resolution situation. To obtain relatively complete frequency domain coverage, the lenslet array requires a large number of lenslets, and the photonic integrated circuit board requires a large number of optical devices, which limits the application and development of the segmented planar imaging technology. In this paper, we introduce a novel, to the best of our knowledge, design of the photonic integrated circuit to ensure that each lenslet in the lenslet array can form a baseline with any other lenslets.

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The segmented planar imager is an advanced optical interferometric telescope with a photonic integrated circuit (PIC). It provides a significant reduction in size, weight, and power consumption as compared to traditional optical interferometry. In this article, we propose the combination of a single PIC with a two-dimensional (2D) lens array to achieve single-PIC imaging.

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This paper describes the multilayer voting algorithm, a novel autonomous star identification method for spacecraft attitude determination. The proposed algorithm includes two processes: an initial match process and a verification process. In the initial match process, a triangle voting scheme is used to acquire candidates of the detected stars, in which the triangle unit is adopted as the basic voting unit.

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In a recent article, the authors developed a new optical interferometric telescope architecture based on compressive sensing theory (CS-CPCIT)(Liu et al., MNRAS, 478, 2065, 2018). A new optical interferometric telescope, also known as the Segmented Planar Imaging Detector for Electro-optical Reconnaissance (SPIDER)(Duncan et al.

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Division of focal plane (DoFP) polarization imaging sensors have the distinct advantage of acquiring temporally synchronized Stokes vector in one scene. The sensors' spatially modulated arrangement of a micropolarization array results in loss of spatial resolution and instantaneous field-of-overview errors. Polarization demosaicking (PDM) methods are often utilized to address these drawbacks and achieve the goal of recovering missing polarization information.

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Developmental coordination disorder (DCD) is a type of motor learning difficulty that affects five to six percent of school-aged children, which may have a negative impact on the life of the sufferers. Timely and objective diagnosis of DCD are important for the success of the intervention. The present evaluation methods of DCD rely heavily on the observational analysis of occupational therapists and physiotherapists, who score the performance when children conduct some designed tasks.

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High-resolution spectrum estimation has continually attracted great attention in spectrum reconstruction based on Fourier transform imaging spectroscopy (FTIS). In this paper, a parallel solution for interference data processing using high-resolution spectrum estimation is proposed to reconstruct the spectrum in a fast high-resolution way. In batch processing, we use high-performance parallel-computing on the graphics processing unit (GPU) for higher efficiency and lower operation time.

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Imaging past the diffraction limit is of significance to an optical system. Fourier ptychography (FP) is a novel coherent imaging technique that can achieve this goal and it is widely used in microscopic imaging. Most phase retrieval algorithms for FP reconstruction are based on Gaussian measurements which cannot extend straightforwardly to long range, sub-diffraction imaging setup because of laser speckle noise corruption.

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In this paper, parallel-processing algorithms for spectrum reconstruction in Fourier transform imaging spectroscopy are proposed using high-performance parallel computing. Because of the huge amount of interference data, traditional algorithms are inefficient and time-consuming. It is necessary to process interference data as soon as possible to form spectral data for research and economy.

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Eye tracking technology has become increasingly important for psychological analysis, medical diagnosis, driver assistance systems, and many other applications. Various gaze-tracking models have been established by previous researchers. However, there is currently no near-eye display system with accurate gaze-tracking performance and a convenient user experience.

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We present a high-accuracy, low false-alarm rate, and low computational-cost methodology for removing stars and noise and detecting space debris with low signal-to-noise ratio (SNR) in optical image sequences. First, time-index filtering and bright star intensity enhancement are implemented to remove stars and noise effectively. Then, a multistage quasi-hypothesis-testing method is proposed to detect the pieces of space debris with continuous and discontinuous trajectories.

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Mucoepidermoid carcinoma is the most common malignant tumor in salivary glands and high-grade mucoepidermoid carcinoma is often accompanied with poor prognosis. Many recent research works demonstrated that stromal cell-derived factor-1 (SDF-1) and its receptor CXC chemokine receptor-4 (CXCR4) interaction was critical for metastasis of various cancers. In this study, the immunoexpression of CXCR4 in human salivary gland mucoepidermoid carcinoma in different grades was detected by immunohistochemical analysis and the expression of CXCR4 and its ligand SDF-1 in mucoepidermoid carcinoma MEC-1 cell line and its highly metastatic clone Mc3 was examined by RT-PCR, flow cytometry and immunocytochemical analysis.

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Objective: To identify metastasis-associated genes in tongue carcinoma and to better understand the mechanism underlying tongue carcinoma metastasis. To compared mRNA expression profiles of two tongue carcinoma cell strains with high and low metastatic potentials using microarray technology.

Methods: Tca8113 and Tb cells were used as model systems to study the molecular mechanism of tumor metastasis.

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Objective: To construct the plasmid containing short hairpin RNA (shRNA) of TGF-beta1 expression vector.

Methods: Short chain oligonucleotide was designed according to the TGF-beta1 mRNA sequence provided by Genebank, then DNA segment was gained through annealing after chemosynthesis, and then was cloned to pWH1 vector. The recombinant TGF-beta1 shRNA expression vector was evaluated by using enzyme cutting.

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Objective: To study the effects of 17 beta-estradiol on the adhesion, invasion and motility potential of salivary mucoepidermoid carcinoma Mc3 cells.

Methods: The effects of 17 beta-estradiol on adhesion, invasion and motility potential of salivary mucoepidermoid carcinoma Mc3 cells were investigated with cell attachment assay on fibronectin (FN), wound assay, chemotaxis assay, and gelatin-incorporated SDS-PAGE electrophoresis. The expression of estrogen receptor in Mc3 cells was determined by immunohistochemistry assay.

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