Super-Resolution Reconstruction of Images Based on Microarray Camera

In the field of images and imaging, super-resolution (SR) reconstruction of images is a technique that converts one or more low-resolution (LR) images into a highresolution (HR) image. The classical two types of SR methods are mainly based on applying a single image or multiple images captured by a single camera. Microarray camera has the characteristics of small size, multi views, and the possibility of applying to portable devices. It has become a research hotspot in image processing. In this paper, we propose a SR reconstruction of images based on a microarray camera for sharpening and registration processing of array images. The array images are interpolated to obtain a HR image initially followed by a convolution neural network (CNN) procedure for enhancement. The convolution layers of our convolution neural network are 3×3 or 1×1 layers, of which the 1×1 layers are used to improve the network performance particularly. A bottleneck structure is applied to reduce the parameter numbers of the nonlinear mapping and to improve the nonlinear capability of the whole network. Finally, we use a 3×3 deconvolution layer to significantly reduce the number of parameters compared to the deconvolution layer of FSRCNN-s. The experiments show that the proposed method can not only ameliorate effectively the texture quality of the target image based on the array images information, but also further enhance the quality of the initial high resolution image by the improved CNN.     

Multi-functional biochip for medical diagnostics and pathogen detection

We describe a multi-functional biochip (MFB), which uses two different types of bioreceptors, including nucleic acid and antibody probes, on a single platform. The multi-functional capability of the MFB device for biomedical diagnostics is illustrated by measurements of DNA probes specific to gene fragments of Bacillus anthracis and antibody probes targeted to Escherichia coli. Calibration curves for monitoring pathogenic species using antibody probes against E. coli and DNA probes for B. anthracis illustrate the capability of the device for medical diagnostics and for quantitative detection of pathogenic agents.     

抗rHu-IFN-αMcAb亲和常数的测定

采用ELISA间接法检测抗原－抗体反应系统中游离抗体量的方法，对本实验室制备的5系抗rHu－IFN－αMcAb进行了亲和力测定，获得比较准确的McAb亲和常数。     

不同表达谱芯片分析方法在药效机制研究中的应用

Affymetrix表达谱芯片技术是一种研究基因在不同条件下表达变化的高通量分析技术,当前在深度动态挖掘药物作用机制方面的芯片分析方法的应用研究仍比较少。以药物表达谱芯片数据为研究对象,运用不同的算法对芯片数据进行预处理,使用t检验和基因芯片显著性分析的方法筛选差异表达的基因,利用凝集型层次聚类和CPP-SOM聚类的方法对差异表达的基因进行聚类分析,最后运用两类富集分析工具DAVID和GSEA对药效可能涉及的信号通路、生物学过程进行相关生物学功能的富集。结果表明,RMA算法处理药物芯片数据优于MAS5.0算法和GCRMA算法;CPP-SOM聚类方法挖掘的数据信息更丰富;GSEA富集分析工具更适合用于药效机制的研究。本研究为新药研发提供算法支持。     

基于相交邻域粗糙集的基因微阵列数据分类

在对基因微阵列数据的特征选择和分类的研究中,粗糙集理论是一个可以消除冗余基因的有效工具.但是传统的粗糙集模型不能很好地处理连续型数值数据,而离散化方法可能会导致信息的丢失.为此,提出了一种基于相交邻域粗糙集模型的属性约简算法,即将传统粗糙集中的距离邻域扩展为相交邻域,采用基于集合的方式来定义近似,以此构建粗糙集模型.在癌症数据集上进行实验,结果表明基于集合近似和相交邻域的粗糙集模型可以取得较好的分类效果,并且通过对选择出的基因进行GO术语分析,进一步证明了该模型的有效性.     

A shear horizontal surface acoustic wave sensor for the detection of antigen–antibody reactions for medical diagnosis

In this paper we describe the development of a shear horizontal surface acoustic wave immunosensor for medical diagnostics. There exists a strong interest in the rapid detection of antigen–antibody reactions at small concentrations in the g/ml region in plasma, serum, or whole blood. Sensors whose operating principle is based on shear horizontal acoustic surface waves are well suited for this. We have used a spin-on glass film for the guidance of the surface wave as well as for the protection of the aluminum structures of the surface wave transducers from aggressive analyte liquids. This film has proven to considerably enhance the sensitivity of the device, and to simultaneously provide a durable protection of the transducers. Furthermore, polymers based on polyvinylamines have been used for the first time for immobilization of the capture protein. This technique effectively prevents the undesired binding of foreign substances like cells, non-specific antibodies, or other proteins at the sensor surface.     

Signal enhancement of surface plasmon resonance-based immunoassays for the allergen detection

A surface plasmon resonance (SPR) biosensor was used to determine the recombinant group 1 house dust mite allergen (rDer f1) in both HBS-EP buffer and fetal bovine serum (FBS). The monoclonal antibody was immobilized onto the CM5 sensor chip surface using an amine coupling method. The procedures of antibody immobilization and the subsequent primary and enhanced immunoassay were monitored in real time. The sensitivity for rDer f1 detection was remarkably improved by using intact polyclonal antibody as signal amplifying agent. Using this signal enhanced SPR immunosensor, rDer f1 in HBS-EP buffer and FBS was detected at a concentration of 15.4 and 32.1 ng/ml, respectively. The result demonstrates that SPR biosensor is a simple and reliable method for allergen detection.     

三维微阵列数据的多目标进化聚类

聚类技术广泛应用于微阵列数据分析中。在基因-样本-时间GST微阵列数据矩阵中,挖掘三雏聚类成为当前的热门研究课题。3D聚类过程经常需要对多个相互冲突的目标进行优化,而且进化算法以其强大的探寻能力成为高维搜索空间中非常有效的搜索方法。本文基于多目标进化计算方法提出一个新的3D聚类算法MOE-TC,以挖掘GST数据中的3D聚类。现实微阵列数据上的实验验证结果充分说明了本文算法的有效性。     

典型半潜式平台结构的微振子捕能特性研究北大核心CSCD

半潜式平台在海洋资源开发领域应用前景广阔,但存在平台设备能源供给不足的问题。本研究把常见的半潜式平台简化为三种典型的浮式基础,将波浪能发电装置集成至浮式基础,建立浮式基础与浮子耦合的运动方程,利用水动力仿真软件AQWA开展数值模拟和参数化分析,获得了波浪方向、浮式基础的截面形状、浮子直径以及浮子与浮式基础间距等因素对浮子捕能特性的影响规律。结果表明,四棱柱浮式基础在特定波浪方向下能够增强微阵列浮子的捕能效果,三棱柱浮式基础使微阵列浮子更好地适应各个方向的波浪激励,圆柱浮式基础以遮蔽效应为主,较大程度上减弱了浮子的捕能特性;不同波浪方向对四棱柱浮式基础、三棱柱浮式基础周围的浮子影响较大,而对基于圆柱浮式基础的微阵列浮子影响不大;通过增加浮子的直径以及浮子距圆柱浮式基础的距离,能够有效提高微阵列浮子平均输出功率。本研究可为半潜式平台与波浪能发电装置的集成提供参考。