FFT动态相位重建算法的滤波窗影响分析

为了优化相位重建算法,针对波面干涉图的傅里叶频谱,分析了不同滤波窗口的分布特征和频谱响应,通过计算机仿真和实验测试,确定了FFT动态相位重建算法的最佳滤波窗口类型。其中处理仿真干涉图重建的波面与原始波面的波面峰谷值残差为0.008 5λ,波面均方根值残差为0.000 1λ;处理实验干涉图获得的波面与移相干涉测量法获得的波面峰谷值残差为0.009 3λ,波面均方根值残差为0.000 5λ。结果表明:选取Hamming窗进行滤波处理并重建的相位经拟合后得到的波面较参考波面的面形残差最小,相位重建精度优于0.01λ,可进一步应用于大口径光学元件的测量中。     

Ultrasound-assisted desolventizing of fragrant oil from red pepper seed by subcritical propane extraction

In the present study, ultrasound was used to remove the residual solvent from the fragrant oil of red pepper seed obtained by subcritical propane extraction. The physical and chemical characteristics, particularly the volatile flavor compounds present of the oil before and after ultrasound-assisted desolventizing were comprehensively analyzed to determine the effect of the desolventizing process on product quality. The results showed that the maximum loss of residual solvent was achieved at a temperature of 90 °C maintained for 70 min with ultrasound applied during the entire process. After this treatment only a small amount of solvent (2.3% based on the total residual solvent originally present) remained in the oil. Although it was hypothesized that ultrasound treatment could result in the loss of volatile components, the analytical results showed no obvious reduction in the components associated with the typical aroma of the oil. After ultrasonic treatment, the oil also had good oxidation stability and quality. Additionally, after ultrasonic desolventizing, the oil samples were more suitable for cooking because they could more effectively minimize oxidation. Thus, these results demonstrate that this new ultrasonic technique is an effective and efficient method for removing the solvent remaining in fragrant oil after subcritical propane extraction.     

An Improved Composite Multiscale Fuzzy Entropy for Feature Extraction of MI-EEG

Motor Imagery Electroencephalography (MI-EEG) has shown good prospects in neurorehabilitation, and the entropy-based nonlinear dynamic methods have been successfully applied to feature extraction of MI-EEG. Especially based on Multiscale Fuzzy Entropy (MFE), the fuzzy entropies of the τ coarse-grained sequences in τ scale are calculated and averaged to develop the Composite MFE (CMFE) with more feature information. However, the coarse-grained process fails to match the nonstationary characteristic of MI-EEG by a mean filtering algorithm. In this paper, CMFE is improved by assigning the different weight factors to the different sample points in the coarse-grained process, i.e., using the weighted mean filters instead of the original mean filters, which is conductive to signal filtering and feature extraction, and the resulting personalized Weighted CMFE (WCMFE) is more suitable to represent the nonstationary MI-EEG for different subjects. All the WCMFEs of multi-channel MI-EEG are fused in serial to construct the feature vector, which is evaluated by a back-propagation neural network. Based on a public dataset, extensive experiments are conducted, yielding a relatively higher classification accuracy by WCMFE, and the statistical significance is examined by two-sample t-test. The results suggest that WCMFE is superior to the other entropy-based and traditional feature extraction methods.     

幽门螺杆菌临床菌株主要蛋白抗原表达及其诱导宿主产生抗体差异性的研究

建立了基于幽门螺杆菌重组蛋白抗原rUreB、rHpaA、rVacA、rCagAl、rNapA、rFlaA和rFlaB的ELISAs,用于检测幽门螺杆菌临床菌株上述抗原表达率和幽门螺杆菌感染病人血清IgG阳性率,另采用PCR检测临床菌株中上述抗原编码基因携带率,以期为选择幽门螺杆菌基因工程疫苗抗原提供依据．实验结果显示,rUreB、rHpaA、rVacA、rCagAl、rNapA、rFlaA和rFlaB表达量分别约为细菌总蛋白的35％、32％、15％、230．4、56％、25％和20％．各重组抗原均能与商品化幽门螺杆菌抗血清（DAKO）产生阳性WesternBolt结果,免疫家兔能产生特异性抗体．从332例慢性胃炎或消化性溃疡病人胃黏膜活检标本中,分离获得145株幽门螺杆菌,其阳性率为43．8％．所有幽门螺杆菌临床菌株均表达UreB、HpaA、FlaA和FlaB,52．4％、91．7％和93．1％菌株分别表达VacA、CagA和NapA．145例幽门螺杆菌感染的病人血清中,UreB、HpaA、VaeA、CagA、NapA、FlaA和FIaB的IgO抗体阳性率分别为100％、86．9％、42．8％、70．3％、89．7％、84．8％和79．3％．此外,不同胃疾病标本中幽门螺杆菌分离率均无显著性（P〉0．05）,但菌株VaeA和NapA表达率与疾病严重程度相关（P〈0．05）．综合分析实验结果,ureB是研制幽门螺杆菌基因工程疫苗首选抗原,其次是NapA和HpaA;各病种与幽门螺杆菌感染率无关,但与菌株毒力有关．     

Investigation of the Doughnut Effect in Cy3-Labeled Protein Microarrays using Scanning Near-Field Optical Microscope

We demonstrate the fluorescence mapping of protein microarrays by the technique of scanning near-field optical microscopy (SNOM) and confocal microscopy. Micron sized spots (300 μm) of human Immunoglobulin G (hIgG) protein with and without a Cy3 dye labeling have been fabricated on glass substrates by an immobilization method which makes use of calixcrown derivatives termed Prolinker. We have also tried to probe into the well-known “doughnut effect” observed in fluorescence images of proteins using the SNOM technique. The topographic and fluorescence SNOM images revealed that the number of proteins at the boundary of the spot were more than at the center in the case of the microarray spot which showed brighter luminescence at the edge than at the center in the confocal image.     

3D building reconstruction from aerial CCD image and sparse laser sample data

An approach for 3D building reconstruction automatically based on aerial CCD image and sparse laser scanning sample points is presented in this paper. The geometry shape of a building is shown very clearly in the aerial high-resolution CCD image, so we use Laplacian sharpening operator and threshold segmentation to extract the edges of CCD image first, and then pixel connectivity is used to extract the linear features in the CCD image. Bi-direction projection histogram and line matching are proposed to extract the contours of buildings. The height of the building is determined from sparse laser sample points which are within the contour of the buildings extracted from CCD image; therefore the 3D information of each building is reconstructed. We reconstruct 3D buildings correctly by this approach using real aerial CCD and sparse laser rangefinder data.     

Sulfur speciation in two typical soil samples using X-ray absorption near-edge structure spectroscopy and chemical fractionation

Sulfur K-edge X-ray absorption near-edge structure spectroscopy and chemical sequential extraction was respectively used to study the speciation of sulfur in two sulfur-rich soils samples. Sulfur K-edge X-ray absorption near-edge structure spectroscopy analysis obtained a variety of spectra. Spectral fitting of the X-ray absorption near-edge structure spectra utilizing a large set of model compounds showed great differences between these two sulfur-rich soil samples. It was found that both of the soil samples had high sulfur content (8.40 and 11.57?g?kg^?1, respectively). Chemical extraction results suggested that sulfur mainly existed as organic in the ancient paddy soil (7.37?g?kg^?1) and more reduced sulfur was identified in it. X-ray absorption near-edge structure spectroscopy also got similar results. These organic forms of sulfur existed in organic matter across a range of oxidation states. There was high proportion of oxidized sulfur in the sulfuric acid plant that mainly existed as sulfate.     

基于扫描相机的激光三维成像研究

随着条纹管器件技术的发展,条纹管作为瞬态光学器件的应用不再局限于高速摄影和光谱学研究领域。建立以单狭缝条纹管为核心器件的扫描相机激光成像系统,对目标进行推扫成像,获得原始条纹图像,并进行特征数据提取和三维重建。理论计算出的两目标的距离差与实际距离差较接近,从而验证采用该系统作激光雷达成像的可行性。实验结果表明,基于扫描相机激光雷达具有高分辨率,具有较好的应用前景。     

结合空间和光谱信息的高光谱影像端元光谱自动提取

端元光谱提取是高光谱影像混合像元分解的关键。现有的端元提取方法多是仅利用了影像的光谱信息,忽略了像元间的空间相关性。现有研究基础上,提出了一种结合影像空间和光谱信息的高光谱影像端元光谱自动提取方法(integration of spatial-spectral information based endmember extraction,ISEE)。该方法首先进行影像子空间划分以增强影像局部的光谱信息特征,然后通过特征空间投影分析获得影像候选端元,最后依次在影像空间信息约束下和端元光谱信息约束下进行优化,得到最终的影像端元光谱集。仿真高光谱影像和真实高光谱影像的实验结果表明,结合影像空间和光谱信息的ISEE方法是有效的,且比一些常用方法提取的端元光谱更为准确。     

基于光谱曲线响应特性的油膜厚度估计模型分析

如今,海上溢油事故频发,如何对溢油的油量进行估计,是一个重要课题。如果可以得到溢油量,那么对后续的处理以及损失的评估都会有较大的帮助。高光谱遥感技术的快速发展使对油膜厚度的定量估计成为可能。采用AvaSpec光谱仪测量不同厚度的油膜,然后对得到的光谱曲线的多种曲线特征进行提取,分析其与油膜厚度之间的关系。结果表明,油膜厚度与基于高光谱位置变量的Rg和Ro、三角植被指数的RDVI和TVI以及Haboudane关系式相关性较大。分别采用曲线拟合、BP神经网络和基于SVD的迭代方法建立油膜曲线特征与油膜厚度之间的预测关系,并以此对不同的油膜光谱曲线进行油膜厚度估计,对得到的结果进行精度检测和运行时间分析,最终得出对每个估计模型的分析评价。