A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction,segmentation, classification and detection approaches

With the development of Computer-aided Diagnosis (CAD) and image scanning techniques, Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis. Therefore, WSI analysis has become the key to modern digital histopathology. Since 2004, WSI has been used widely in CAD. Since machine vision methods are usually based on semi-automatic or fully automatic computer algorithms, they are highly efficient and labor-saving. The combination of WSI and CAD technologies for segmentation, classification, and detection helps histopathologists to obtain more stable and quantitative results with minimum labor costs and improved diagnosis objectivity. This paper reviews the methods of WSI analysis based on machine learning. Firstly, the development status of WSI and CAD methods are introduced. Secondly, we discuss publicly available WSI datasets and evaluation metrics for segmentation, classification, and detection tasks. Then, the latest development of machine learning techniques in WSI segmentation, classification, and detection are reviewed. Finally, the existing methods are studied, and the application prospects of the methods in this field are forecasted.

     

Techno-economic analysis of hydrogen energy for renewable energy power smoothing

With the increasing proportion of renewable energy (mainly wind power and photovoltaic) connected to the grid, the fluctuation of renewable energy power brings great challenges to the safe and reliable operation of power grid. As a clean, low-carbon secondary energy, hydrogen energy is applied in renewable energy (mainly wind power and photovoltaic) grid-connected power smoothing, which opens up a new way of coupling hydrogen storage energy with renewable energy. This paper focuses on the optimization of capacity of electrolyzers and fuel cells and the analysis of system economy in the process of power output smoothing of wind/photovoltaic coupled hydrogen energy grid-connected system. Based on the complementary characteristics of particle swarm optimization (PSO) and chemical reaction optimization algorithm (CROA), a particle swarm optimization-chemical reaction optimization algorithm (PSO-CROA) are proposed. Aiming at maximizing system profit, the capacity of electrolyzers and fuel cells are constrained by wind power fluctuation, and considering environmental benefits, government subsidies and time value of funds, the objective function and its constraints are established. According to the simulation analysis, by comparing the calculated results with PSO and CROA, it shows that PSO-CROA effectively evaluates the economy of the system, and optimizes the optimal capacity of the electrolyzers and fuel cells. The conclusion of this paper is of great significance for the application of hydrogen energy storage in the evaluation of power smoothness and economy of renewable energy grid connection and the calculation of economic allocation of hydrogen energy storage capacity.     

刚柔结合的充电机械臂设计

针对大型运输设备上的电池充电补给任务,设计了一款刚柔结合充电机械臂.针对机械臂的柔性部分和刚性部分分别分析了关节、任务、驱动空间之间的运动映射关系,给出了两级柔性臂的解耦运动学算法,使用蒙特卡洛方法求解了机械臂的工作空间,验证了机械臂设计的合理性,并用Adams软件进行动力学仿真分析,校核了设备选型的安全性.     

A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches

Microorganisms such as bacteria and fungi play essential roles in many application fields, like biotechnique, medical technique and industrial domain. Microorganism counting techniques are crucial in microorganism analysis, helping biologists and related researchers quantitatively analyze the microorganisms and calculate their characteristics, such as biomass concentration and biological activity. However, traditional microorganism manual counting methods, such as plate counting method, hemocytometry and turbidimetry, are time-consuming, subjective and need complex operations, which are difficult to be applied in large-scale applications. In order to improve this situation, image analysis is applied for microorganism counting since the 1980s, which consists of digital image processing, image segmentation, image classification and suchlike. Image analysis-based microorganism counting methods are efficient comparing with traditional plate counting methods. In this article, we have studied the development of microorganism counting methods using digital image analysis. Firstly, the microorganisms are grouped as bacteria and other microorganisms. Then, the related articles are summarized based on image segmentation methods. Each part of the article is reviewed by methodologies. Moreover, commonly used image processing methods for microorganism counting are summarized and analyzed to find common technological points. More than 144 papers are outlined in this article. In conclusion, this paper provides new ideas for the future development trend of microorganism counting, and provides systematic suggestions for implementing integrated microorganism counting systems in the future. Researchers in other fields can refer to the techniques analyzed in this paper.

     

MOCVD-derived GdYBCO tapes with smooth surface and low Rs based on a new self-heating technology

The metal organic chemical vapor deposition (MOCVD) method was used to prepare GdYBCO films on LaMnO₃/ homo epitaxial-MgO/ ion-beam-assisted-deposition-MgO/ solution-deposition-planarization-Y₂O₃ buffered Hastelloy tapes. By adopting a simple self-heating technique, the substrates were heated by the joule effect after applying a heating current (I_h) through Hastelloy metal tapes. The effects of substrate temperature and (Gd, Y)/Ba ratio (r_c) in the precursor on the biaxial texture, surface morphology and superconducting performance of GdYBCO films were systematically investigated by varying the values of I_h and r_c. Needle-like outgrowths formed on the substrate surface were characterized using a scanning electron microscope, energy dispersive spectrometer and X-ray diffraction system. The results show that a high I_h or r_c leads to the formation of needle-like outgrowths. Therefore, I_h and r_c are crucial process parameters that control the growth of needle-like outgrowths on the surface of GdYBCO films. Three hundred nanometer thick GdYBCO films were prepared at different I_h and r_c by the MOCVD process. At an I_h of 27.0?A and an r_c of 0.6, the surface of the GdYBCO film was very smooth and dense, which can provide a good template for multiple depositions of GdYBCO films. The critical current density of the deposited 300?nm-thick GdYBCO film was 4.4 MA/cm² (77?K, 0?T), which is attributed to good biaxial texture and appropriate film composition. Furthermore, the microwave surface resistance (77?K, 10?GHz) of the GdYBCO film was merely 0.581?mΩ.     

测量二次电子空间分布特征矩阵法的有效性分析

为了准确测量不同材料在实际环境中的二次电子空间分布，设计了一种新型的二次电子发射空间分布测量结构，给出了实验测量原理，用求解特征矩阵的方法对实验结果进行处理，得到了所需的二次电子空间分布。通过模拟计算对该测量方法进行了校验，模拟结果与假设二次电子空间分布函数相吻合，表明该测量方法可靠、测量精度高，为后续样机研制奠定了理论基础。     

CMOS图像传感器单粒子效应及加固技术研究进展

互补金属氧化物半导体(Complementary Metal Oxide Semiconductor,CMOS)图像传感器(CMOS Image Sensor,CIS)在空间应用时会受到单个粒子辐照影响,这通常会导致CIS采集图像出现异常,严重时会导致器件功能失效。本文从不同粒子的角度:重离子、质子、电子和中子,从CIS容易发生的单粒子效应类型:单粒子瞬态(Single Event Transient,SET)、单粒子翻转(Single Event Upset,SEU)、单粒子闩锁(Single Event Latchup,SEL)、单粒子功能中断(Single Event Functional Interrupt,SEFI)等方面综述了CIS单粒子效应研究进展。简要介绍了CIS单粒子效应加固技术研究进展。分析总结了目前CIS单粒子效应及加固技术中亟待解决的问题,为今后深入开展相关研究提供理论参考。     

Refreshing doping concept in perovskite piezoceramics: Composite modulation hidden behind lattice substitution

Chemical doping is favored by academia as well as industry because of its effectiveness in attuning to the properties of piezoceramics. Although significant progress has been made, few reports have focused on the role and overall effect of substituted ions. Based on the tendency of special crystals such as ZnO toward spontaneous growth, this study applies the concept of composite modulation to conventional doping; the CuO-modified 0.2Pb(Zn_1/3Nb_2/3)O₃-0.8Pb(Zr_1/2Ti_1/2)O₃ (PZN-PZT) system has been used for verification of the proposed method. The results show that copper ions enter the perovskite matrix to specifically replace the zinc ions causing lattice distortion and increasing the rhombohedral phase (RP) content. Furthermore, the substituted zinc ions enter the grain boundaries and grow into a secondary phase ZnO, based on their spontaneous-growth tendency; the induced heterogeneous interfacial effects lead to refinement of the domain size and enhancement of the interface polarization. The combined effects of the lattice substitution and composite modulation promote a significant improvement in the piezoelectric coefficient of the CuO-modified PZN-PZT system compared with its pure counterpart. The dual function of doping demonstrated in this study is expected to further contribute to the preparation and performance improvement of the other piezoelectric composites.     

On the dependence of interfacial resistance on contact materials between cathode and interconnect in solid oxide fuel cells

The dependence of interfacial contact resistance (ICR) on contact materials between cathode and interconnect is systematically studied under both isothermal oxidation and thermal cycling conditions. Three kinds of cathode current-collecting layer (CCCL) are used, (La,Sr) (Co,Fe)O₃ (LSCF), LSCF+10%Ag, and Ag, and tested in a SUS430/CCCL/SUS430 sandwich structure to simulate the actual operation of the solid oxide fuel cells (SOFCs). Experimental results show that the ICR of LSCF+10%Ag exhibits the smallest value, in comparison with the specimens with LSCF and Ag paste, as well as the sample without a CCCL. For LSCF+10%Ag contact, the ICR increases from 0.0069 mΩ cm² to 3.74 mΩ cm² under an isothermal condition for 150 h, then increases from 3.74 mΩ cm² to 10.79 mΩ cm² after 15 thermal cycles. This work provides information for the understanding of possible mechanisms of performance degradation of SOFCs.     

Evaluation of mannitol and xylitol on the quality of wheat flour and extruded flour products

Effects of polyols (mannitol and xylitol) on physical properties, pasting properties and dynamic rheological properties of wheat flour and the microstructure, water activity (A_w), radial expansion ratio (ER), oil absorption rate (OAR) and texture of extruded flour products were evaluated in this work. The results show that both mannitol and xylitol can promote gluten network formation, enhance tensile resistance and increase the storage modulus (G') and loss modulus (G'') of the dough. More dense and uniform particles were also found on the surface of extruded flour products in the presence of polyols by scanning electron microscopy (SEM). Furthermore, the A_w, hardness and chewiness were reduced while the ER and ORA were increased for extruded flour products by incorporation of polyols. Thus, the extruded flour products with improved quality by polyols exhibit great application prospect in food industry.