Characterization of a sCMOS‐based high‐resolution imaging system

The detection system is a key part of any imaging station. Here the performance of the novel sCMOS‐based detection system installed at the ID17 biomedical beamline of the European Synchrotron Radiation Facility and dedicated to high‐resolution computed‐tomography imaging is analysed. The system consists of an X‐ray–visible‐light converter, a visible‐light optics and a PCO.Edge5.5 sCMOS detector. Measurements of the optical characteristics, the linearity of the system, the detection lag, the modulation transfer function, the normalized power spectrum, the detective quantum efficiency and the photon transfer curve are presented and discussed. The study was carried out at two different X‐ray energies (35 and 50 keV) using both 2× and 1× optical magnification systems. The final pixel size resulted in 3.1 and 6.2 µm, respectively. The measured characteristic parameters of the PCO.Edge5.5 are in good agreement with the manufacturer specifications. Fast imaging can be achieved using this detection system, but at the price of unavoidable losses in terms of image quality. The way in which the X‐ray beam inhomogeneity limited some of the performances of the system is also discussed.     

光致清洁电极可见光在线更新与细胞实时监测

电化学传感器在用于细胞实时监测过程中,电极界面污染严重影响其检测性能.通过将纳米光催化剂与电化学传感材料复合,构建光致清洁电化学传感器,为电极界面的高效及无损更新提供了新思路.然而光催化产生的活性氧自由基导致细胞损伤,限制了细胞培养及检测过程中电极界面的实时更新.为此,我们在PEDOT@CdS/TiO₂/ITO可见光致更新电极表面旋涂明胶薄层,在保持电极良好的光致清洁和电化学传感性能同时,利用明胶薄层阻碍光催化产生的活性氧自由基扩散至细胞表面,显著降低了细胞损伤.此外,明胶优良的生物相容性有利于细胞的黏附及增殖.利用该电极,我们实现了人脐静脉内皮细胞（HUVECs）培养过程中,电极的在线更新以及细胞释放一氧化氮的实时监测.     

太赫兹无损检测的多特征参数神经网络分析技术

提出一种基于太赫兹无损检测的多特征参数神经网络分析技术,用于分析耐高温复合材料的粘贴质量无损检测.采用抽片式方法设计了一种耐高温复合材料的脱粘缺陷样品,抽片厚度为0.1mm.采用太赫兹时域光谱无损检测技术对耐高温复合材料的多层脱粘缺陷进行了检测试验研究,对比了上下脱粘缺陷所对应的太赫兹时域波形及频谱信息的异同,针对性地建立了耐高温复合材料粘贴质量的上层脱粘参数、下层脱粘参数、频域吸收质心参数等多特征参数,将特征参数进行优化作为反向传播神经网络的输入并对其进行上下脱粘分类识别.通过对反向传播神经网络的训练测试,实现了耐高温复合材料上层脱粘0.1mm、下层脱粘0.1mm的脱粘缺陷的识别.     

便携式X射线荧光光谱仪快速监测重金属土壤环境质量

便携式X射线荧光光谱仪(PXRF)作为一种新型快速测试手段具有突出的应用前景,但也存在检测范围和检测限的局限,为此本文研究PXRF仪器在快速监测土壤环境质量中Cr,Ni,Cu,Zn,Pb,Cd,As和Hg等8种重金属元素的适用性,筛选仪器可检测元素,评价检测结果准确度。具体方法是使用仪器测试重金属污染土壤样品,测试结果与电感耦合等离子体质谱分析方法(ICP-MS)测试值进行对比,评判检测结果精密度,建立PXRF仪器测试值与ICP-MS仪器测试值的线性回归关系。结果表明：(1)在监测重金属土壤环境质量时,PXRF仪器可用于检测土壤中Pb,Zn,Cr和Cu含量,但不适于检测Ni,Cd,As和Hg含量。(2)Pb和Zn测试值稍低于ICP-MS测试值,Cu偏高,而Cr过高;PXRF仪器测试值需要参照标准分析方法进行线性校正。研究结论为：便携式X射线荧光光谱仪适用于Pb,Zn,Cr和Cu等4种重金属的土壤环境质量监测,是一种简单快速、准确可靠的低成本土壤重金属分析手段。该研究的创新之处是合理规避PXRF仪器的缺点,将仪器应用于土壤环境质量监测,提高了测试结果应用价值。     

动物粪便近红外光谱的应用潜力

近红外光谱技术(NIRS)以其低成本、高效、环保、无损的优势在日粮和畜产品品质分析中得到广泛应用。饲料品质参数(如粗蛋白)的获取对于日粮营养的合理搭配不可或缺,传统的近红外光谱技术将日粮的近红外光谱与日粮品质参数的化学测定值进行回归,建立预测模型对日粮品质参数进行检测。然而,在放牧条件下日粮近红外光谱的难以获取限制了这一传统建模方法在动物营养中的应用。作为动物代谢性产物,动物粪便不仅包含有日粮信息也携带有动物自身信息。近年来,基于动物粪便近红外光谱和日粮信息(日粮植物学成分、化学成分及其消化率)建立的回归模型,也已被用于动物日粮信息的检测。简要介绍F.NIRS在动物性别、品种鉴定及繁殖和寄生虫感染状态检测中的应用。NIRS在动物粪肥分析中的应用结果表明NIRS能够对粪肥中主要成分含量进行快速分析。尽管F.NIRS预测准确性有待提高,但已显示出其作为快速、有效的分析工具用于检测日粮品质参数及动物生理状态的潜力。相关的英文评述性文章业已出版,但在中国F.NIRS的研究和应用非常欠缺。期望本文的呈现有助于F.NIRS在国内的发展。推荐将NIRS作为快速分析工具用于对粪肥主要成分(DM,OM,TS,VS,TN,TKN和NH₃-N)含量进行检测。     

医用化学课堂教学中强化素质教育的探索与实践

在医用化学课堂教学中,从提高教师自身素质入手,运用精心设计新课导语、加强化学与医学的联系等手段,对学生进行思维能力的培养训练,有效激发学生的智慧潜能和主动精神,养成积极主动的参与意识,达到强化素质教育的目的。     

Propagation of guided waves in pressure vessel

Pressure vessels usually operate under extremes of high/low temperatures and high pressures. Defect, such as crack and corrosion, can result in leakage or rupture failures, even catastrophic incidents. Guided wave-based structural health monitoring (SHM) technology is one of the most prominent options in non-destructive evaluation and testing (NDE/NDT) techniques. Propagation of guided waves in a typical pressure vessel is systematically investigated in this study for the application of guided wave-based SHM. Shape of the pressure vessel is a cylinder with two end caps. Because of geometric similarity, theory of guided wave propagation in the cylinderical structure is analyzed to study dispersive features of guided waves in the pressure vessel. Dispersion curves of three different types of guided wave modes, viz. the longitudinal, torsional and flexural modes, are calculated using theoretical method. Based on the analyses and experimental wave signals, central frequency and wave parameters of incident wave are optimized. Effect of contained liquid on propagation of guided waves, especially the L(0, 2) mode, in the pressure vessel is further investigated to minimize energy leakage of the wave to the contained liquid. The analytical method, finite element analysis (FEA) and experiments are applied to study propagation characteristics of guided waves in the pressure vessel, so as to demonstrate the feasibility of guided wave-based non-destructive evaluation and testing (NDE/NDT) for such kind of complex structures.     

A nonrigid registration algorithm for longitudinal breast MR images and the analysis of breast tumor response

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can estimate parameters relating to blood flow and tissue volume fractions and therefore may be used to characterize the response of breast tumors to treatment. To assess treatment response, values of these DCE-MRI parameters are observed at different time points during the course of treatment. We propose a method whereby DCE-MRI data sets obtained in separate imaging sessions can be co-registered to a common image space, thereby retaining spatial information so that serial DCE-MRI parameter maps can be compared on a voxel-by-voxel basis. In performing inter-session breast registration, one must account for patient repositioning and breast deformation, as well as changes in tumor shape and volume relative to other imaging sessions. One challenge is to optimally register the normal tissues while simultaneously preventing tumor distortion. We accomplish this by extending the adaptive bases algorithm through adding a tumor-volume preserving constraint in the cost function. We also propose a novel method to generate the simulated breast magnetic resonance (MR) images, which can be used to evaluate the proposed registration algorithm quantitatively. The proposed nonrigid registration algorithm is applied to both simulated and real longitudinal 3D high resolution MR images and the obtained transformations are then applied to lower resolution physiological parameter maps obtained via DCE-MRI. The registration results demonstrate the proposed algorithm can successfully register breast MR images acquired at different time points and allow for analysis of the registered parameter maps.     

傅里叶变换近红外反射用于鸡蛋蛋品质的研究

鸡蛋的无损检测技术一直以来都是蛋品质检测领域的重要研究课题,建立相应的检测技术对蛋鸡育种和蛋品质监测具有实际意义.文章利用近红外光谱仪测定保存时间不同的鸡蛋,探讨了蛋白高度、哈氏单位、气室直径、气室高度近红外模型的可行性,并运用无偏最小二乘法建立了鸡蛋蛋白高度、鸡蛋气室直径、气室高度的近红外测定模型,蛋白高度、气室直径与气室高度的测定模型的决定系数R2分别为0.867,0.821,0.865,RMSECV分别为0.476,0.014与0.479.对33个鸡蛋样品的模型验证的R2分别为0.873,0.861,0.895.鸡蛋新鲜度主要指标的预测值与实际值间的差异不显著(P＞0.05),所建模型具有较好的准确性与预测能力,能够满足蛋品新鲜度快速无损检测的要求.