Structured illumination microscopy based on asymmetric three-beam interference

Structured illumination microscopy(SIM)is a rapidly developing super-resolution technology.It has been widely used in various application fields of biomedicine due to its excellent two-and three-dimensional imaging capabilities.Furthermore,faster three-dimensional imaging methods are required to help enable more research-oriented living cell imaging.In this paper,a fast and sensitive three-dimensional structured illumination microscopy based on asymmetric three-beam interference is proposed.An innovative time-series acquisition method is employed to halve the time required to obtain each raw image.A segmented half-wave plate as a substantial linear polarization modulation method is applied to the three-dimensional SIM system for the first time.Although it needs to acquire 21 raw images instead of 15 to reconstruct one super-resolution image,the SIM setup proposed in this paper is 30%faster than the traditional spatial light modulator-SIM(SLM-SIM)in imaging each super-resolution image.The related theoretical derivation,hardware system,and verification experiment are elaborated in this paper.The stable and fast 3D super-resolution imaging method proposed in this paper is of great significance to the research of organelle interaction,intercellular communication,and other biomedical fields.

Water Quality Analysis of the Songhua River Basin Using Multivariate Techniques

Multivariate statistical techniques, including cluster analysis (CA), principal component analysis (PCA), factor analysis (FA) and discriminant analysis (DA), were used to evaluate temporal and spatial variations and to interpret a large and complex water quality data sets collected from the Songhua River Basin. The data sets, which contained 14 parameters, were generated during the 7-year (1998-2004) monitoring program at 14 different sites along the rivers. Three significant sampling locations (less polluted sites, moderately polluted sites and highly polluted sites) were detected by CA method, and five latent factors (organic, inor-ganic, petrochemical, physiochemical, and heavy metals) were identified by PCA and FA methods. The re-sults of DA showed only five parameters (temperature, pH, dissolved oxygen, ammonia nitrogen, and nitrate nitrogen) and eight parameters (temperature, pH, dissolved oxygen, biochemical oxygen demand, ammonia nitrogen, nitrate nitrogen, volatile phenols and total arsenic) were necessarily in temporal and spatial varia-tions analysis, respectively. Furthermore, this study revealed the major causes of water quality deterioration were related to inflow of effluent from domestic and industrial wastewater disposal.

Quantification of energy related industrial eco-efficiency of China

Improving eco-efficiency is propitious for saving resources and reducing emissions,and has become a popular route to sustainable development.We define two energy-related eco-efficiencies:energy efficiency(ENE)and greenhouse gas(GHG)emission-related eco-efficiency(GEE)using energy consumption and the associated GHG emissions as the environmental impacts.Using statistical data,we analyze China’s energy consumption and GHG emissions by industrial subsystem and sector,and estimate the ENE and GEE values for China in 2007 as 4.871×10^(7)US·/PJ and 4.26×10^(8)US$/TgCO_(2)eq,respectively.Industry is the primary contributing subsystem of China’s economy,contributing 45.2%to the total economic production,using 79.6%of the energy consumed,and generating 91.4%of the total GHG emissions.We distinguish the individual contributions of the 39 industrial sectors to the national economy,overall energy consumption,and GHG emissions,and estimate their energyrelated eco-efficiencies.The results show that although ferrous metal production contributes only 3.5%to the national industrial economy,it consumes the most industrial energy(20%of total),contributes 16%to the total industrial global warming potential(GWP),and ranks third in GHG emissions.The power and heat sector ranks first in GHG emissions and contributes one-third of the total industrial GWP,although it only consumes about 8%of total industrial energy and,like ferrous metal production,contributes 3.5%to the national economy.The ENE of the ferrous metal and power and heat sectors are only 8 and 2.1×10^(7)US$/PJ,while the GEE for these two sectors are 9 and 4×10^(4)US$/GgCO_(2)eq,respectively;these are nearly the lowest ENE and GEE values among all 39 industry sectors.Finally,we discuss the possibility of ecoefficiency improvement through a comparison with other countries.