用共聚焦扫描显微镜检术和酶法分离技术观测观察水稻胚囊发育

本文中以水稻为实验材料，用共聚焦扫描显微镜检术(CLSM)和酶法分离技术观察其胚囊取得好的效果，主要实验结果如下： 1.水稻子房分别用FAA和4%戊二醛固定液固定，经乙醇脱水，然后用冬青油整体透明及丁香油封片。在共聚焦扫描显微镜下，发育中的水稻胚囊显示自发荧光，可分辨出胚囊内部结构。FAA和4%戊二醛两种固定液效果不同，后者效果更佳。用上述实验程序进一步观察拟南芥菜胚囊及水稻和拟南芥菜花粉表明，CLSM可用于快速观察分析水稻和拟南芥菜胚囊发育过程以及水稻胚囊败育情况，但不适用于观察分析其花粉发育过程。 2.水稻子房用FAA、FPA或卡诺氏固定液固定，经乙醇转至蒸镏水，然后置于由纤维素酶和果胶酶组成的酶液中，在37℃保温条件下进行连续振荡酶解，在振荡过程中辅以手工显微操作，由此即可分离出水稻固定胚珠的胚囊。用相差显微镜观察分离的胚囊表明，胚囊整体性及立体感强，观察效果好。在成功分离水稻固定材料胚囊的基础上，初步尝试了水稻新鲜材料胚囊的分离。

松杉类植物花粉发育和传粉生物学的研究

本文用光学显微镜结合荧光技术对青扦花粉的发育过程进行了观察;用共聚焦显微镜观察了白扦生长花粉管细胞内的游离Ca2+分布;利用原子力显微镜对雪松和水杉花粉外壁的亚结构进行了研究：用透射电镜、扫描电镜及解剖镜等技术研究了侧柏、北美香柏、红豆杉、粗榧和白皮松的传粉机制，结果如下。 青扦花粉的发育过程与松科其它一些植物花粉的发育模式相似。从小孢子母细胞到成熟花粉约二十天左右。小孢子母细胞进入减数分裂前彼此分开，但在某些部位仍有连接。细胞质内有大量淀粉粒，在减数分裂过程中减少或消失，没有观察到明显的淀粉粒带。减数分裂中的胞质分裂为同时型，四分体为四面体型。小孢子刚从四分体释放出来时，气囊已开始形成，细胞中含大量淀粉粒。随着小孢子的发育，其体积增大，并出现液泡，细胞核移向一侧。小孢子第一次不对称分裂产生一个大的中央细胞和一个小的原叶细胞。中央细胞不久就进行第二次分裂产生精子器原始细胞和第二原叶细胞。原叶细胞形成后，其与中央细胞或精子器原始细胞之间的壁逐渐沉积胼胝质，以后随着原叶细胞的退化，胼胝质壁消失。精子器原始细胞分裂形成管细胞和生殖细胞，生殖细胞在散粉前分裂形成体细胞（精原细胞）和柄细胞（不育细胞）。成熟花粉为5细胞，但两个原叶细胞已退化消失。 白扦花粉在10%蔗糖+0.01%硼酸的液体培养基内培养12小时后开始萌发。在正常生长的花粉管中，其顶端有一个透明区，而透明区后则含有大量的贮藏物质颗粒。在停止生长的花粉管中透明区消失，而整个花粉管顶端也被储藏物质颗粒充满。正常生长的花粉管顶端有一个较高的Ca2+浓度。在停止生长的花粉管内不具有这样一个Ca2+梯度。 雪松和水杉二种花粉外壁中由孢粉素构成的亚结构单位形态相似，均呈颗粒状，但大小略有不同。雪松的长56-99 nm，宽42-74;水杉的长81-118 nm，宽43-98 nm。在雪松中这些亚单位紧密排列组成短棒状或球状的花粉外壁结构单位，再由几个到十几个这样的结构单位组成较大的岛屿状结构。在这些岛屿状结构之间有大小不一的空隙存在，整个花粉外壁由这样一些岛屿状结构交互连接形成。水杉花粉外壁的亚单位排列也较紧密，且有3-10个成群分布的趋势，但各群之间界限不明显。此外，雪松和水杉的花粉外壁亚单位均无螺旋状排列趋势，这一结果倾向于支持Southworth关于花粉外壁亚单位颗粒状并呈网状排列的观点。 白皮松胚珠倒生，其发育过程与松属的其它种相似，成熟胚珠珠孔端具两手臂状结构，有利于接收花粉。花粉具气囊。传粉期间，没有观察到传粉滴产生，但珠心顶端细胞解体形成花粉室。花粉室内可接受一至几个花粉，花粉在花粉室内的位置无明方向性。传粉时，胚珠处于大孢子线细胞时期。花粉在花粉室内萌发形成花粉管进入珠心组织，花粉管在珠心内生长一段时间后停止生长，并于次年春天重新启动生长。离体生长的花粉管顶端常有胼胝质产生，但顶端区域后的花粉管壁上却无胼胝质沉积。 侧柏、北美香柏、红豆杉和粗榧均为直生胚珠。传粉时胚珠产生传粉滴。在红豆杉胚珠发育早期，珠心表面细胞轮廓清晰;而在后期，其珠心表面则形成了一层膜状结构。这层膜状结构在传粉前随珠心细胞的解体而破裂，珠心细胞的降解产物参与了传粉滴形成。在传粉前和传粉期，珠心细胞内含大量的线粒体、内质网、高尔基体和小泡。传粉滴主要由珠心细胞分泌形成。这四种植物的花粉均无气囊，属可湿性花粉。红豆杉和粗榧的花粉水合时，内壁膨胀，外壁开裂。通常情况下，红豆杉花粉的外壁保留在传粉滴的表面，而花粉的其它部分沉入传粉滴内。侧柏和北美香柏的传粉滴授粉后，花粉进入传粉滴导致传粉滴的明显收缩。在侧柏中传粉滴授粉后100分钟内就完全收缩进入珠孔。传粉滴收缩的速率与所授花粉数量和花粉的种类有关。与侧柏亲缘关系较近植物花粉引起传粉滴的收缩速率和侧柏自身花粉引起的传粉滴收缩速率相似;反之，收缩速率变慢。侧柏传粉滴的收缩可能主要是由于花粉减弱胚珠分泌的结果。但授粉不引起红豆杉和粗榧传粉滴的明显收缩。在红豆杉和粗榧中，从授粉到传粉完全收缩需要20-24小时。这两种植物传粉滴的收缩可能主要是蒸发引起的非代谢性过程，与侧柏和美香柏属于不同的传粉滴收缩机制。

Genome-wide SNP and haplotype analyses reveal a rich history underlying dog domestication

Advances in genome technology have facilitated a new understanding of the historical and genetic processes crucial to rapid phenotypic evolution under domestication(1,2). To understand the process of dog diversification better, we conducted an extensive genome-wide survey of more than 48,000 single nucleotide polymorphisms in dogs and their wild progenitor, the grey wolf. Here we show that dog breeds share a higher proportion of multi-locus haplotypes unique to grey wolves from the Middle East, indicating that they are a dominant source of genetic diversity for dogs rather than wolves from east Asia, as suggested by mitochondrial DNA sequence data(3). Furthermore, we find a surprising correspondence between genetic and phenotypic/functional breed groupings but there are exceptions that suggest phenotypic diversification depended in part on the repeated crossing of individuals with novel phenotypes. Our results show that Middle Eastern wolves were a critical source of genome diversity, although interbreeding with local wolf populations clearly occurred elsewhere in the early history of specific lineages. More recently, the evolution of modern dog breeds seems to have been an iterative process that drew on a limited genetic toolkit to create remarkable phenotypic diversity.

Relationship between trichosanthin cytotoxicity and its intracellular concentration

Trichosanthin (TCS) is a type I ribosome-inactivating protein with board spectrum of biological activity. Toxicity of this compound differs in different cell lines and this study examined the cause of such difference. It is generally believed that TCS toxicity is mediated through intracellular ribosome inactivation. Therefore, TCS toxicity should be determined by the amount inside cells rather than outside. Three different cell types IC21, JAR and Vero cell lines were chosen with high, medium and low sensitivity to TCS. Intracellular concentrations of fluorescein isothiocyanate labeled TCS were determined by laser scanning confocal microscopy. A good relationship was demonstrated between intracellular TCS concentration and toxicity. Highest intracellular concentration was found in IC21, followed by JAR, and lowest in Vero cells. When the intracellular TCS concentrations in these cells were reduced by using a competitive inhibitor to block cell entry, cytotoxicity was not observed. In conclusion, there is strong evidence to indicate that cytotoxicity of TCS is dependent on its intracellular concentration. Variation of cytotoxicity in different cells may be related to the mechanisms affecting its internalization. (C) 2002 Published by Elsevier Science Ireland Ltd.

口腔移植材料与成骨细胞相容性的激光共聚焦显微镜观察

下载PDF阅读器目的:观察不同处理的钛金属表面与成骨细胞的生物相容性.方法:利用共聚焦显微镜荧光信号通过物镜返回光电倍增管成像的原理,获取不透光的钛金属表面图像,对钛金属表面(打磨、喷砂、喷砂酸蚀表面)接种的成骨细胞骨架进行荧光标记,并用共聚焦显微镜获取荧光图像,观察细胞和钛金属表面的生物相容性,并且通过逐渐深入的多层扫描,探索细胞和移植材料结合的进一步信息.结果:喷砂表面适合成骨细胞的贴附和生长.结论: 钛金属与成骨细胞的结合情况主要与金属表面的物理形态有关.

Visual pattern recognition models for remote sensing of civil infrastructure

As-built models have been proven useful in many project-related applications, such as progress monitoring and quality control. However, they are not widely produced in most projects because a lot of effort is still necessary to manually convert remote sensing data from photogrammetry or laser scanning to an as-built model. In order to automate the generation of as-built models, the first and fundamental step is to automatically recognize infrastructure-related elements from the remote sensing data. This paper outlines a framework for creating visual pattern recognition models that can automate the recognition of infrastructure-related elements based on their visual features. The framework starts with identifying the visual characteristics of infrastructure element types and numerically representing them using image analysis tools. The derived representations, along with their relative topology, are then used to form element visual pattern recognition (VPR) models. So far, the VPR models of four infrastructure-related elements have been created using the framework. The high recognition performance of these models validates the effectiveness of the framework in recognizing infrastructure-related elements.

Visual Pattern Recognition Models for Remote Sensing of Civil Infrastructure

As-built models have been proven useful in many project-related applications, such as progress monitoring and quality control. However, they are not widely produced in most projects because a lot of effort is still necessary to manually convert remote sensing data from photogrammetry or laser scanning to an as-built model. In order to automate the generation of as-built models, the first and fundamental step is to automatically recognize infrastructure-related elements from the remote sensing data. This paper outlines a framework for creating visual pattern recognition models that can automate the recognition of infrastructure-related elements based on their visual features. The framework starts with identifying the visual characteristics of infrastructure element types and numerically representing them using image analysis tools. The derived representations, along with their relative topology, are then used to form element visual pattern recognition (VPR) models. So far, the VPR models of four infrastructure-related elements have been created using the framework. The high recognition performance of these models validates the effectiveness of the framework in recognizing infrastructure-related elements.

Innovative Stereo Vision-Based Approach to Generate Dense Depth Map of Transportation Infrastructure

Three-dimensional (3-D) spatial data of a transportation infrastructure contain useful information for civil engineering applications, including as-built documentation, on-site safety enhancements, and progress monitoring. Several techniques have been developed for acquiring 3-D point coordinates of infrastructure, such as laser scanning. Although the method yields accurate results, the high device costs and human effort required render the process infeasible for generic applications in the construction industry. A quick and reliable approach, which is based on the principles of stereo vision, is proposed for generating a depth map of an infrastructure. Initially, two images are captured by two similar stereo cameras at the scene of the infrastructure. A Harris feature detector is used to extract feature points from the first view, and an innovative adaptive window-matching technique is used to compute feature point correspondences in the second view. A robust algorithm computes the nonfeature point correspondences. Thus, the correspondences of all the points in the scene are obtained. After all correspondences have been obtained, the geometric principles of stereo vision are used to generate a dense depth map of the scene. The proposed algorithm has been tested on several data sets, and results illustrate its potential for stereo correspondence and depth map generation.

Comparison of Image-Based and Time-of-Flight-Based Technologies for 3D Reconstruction of Infrastructure

Image-based (i.e., photo/videogrammetry) and time-of-flight-based (i.e., laser scanning) technologies are typically used to collect spatial data of infrastructure. In order to help architecture, engineering, and construction (AEC) industries make cost-effective decisions in selecting between these two technologies with respect to their settings, this paper makes an attempt to measure the accuracy, quality, time efficiency, and cost of applying image-based and time-of-flight-based technologies to conduct as-built 3D reconstruction of infrastructure. In this paper, a novel comparison method is proposed, and preliminary experiments are conducted. The results reveal that if the accuracy and quality level desired for a particular application is not high (i.e., error < 10 cm, and completeness rate > 80%), image-based technologies constitute a good alternative for time-of-flight-based technologies and significantly reduce the time and cost needed for collecting the data on site.

Comparison of Image-Based and Time-of-Flight-Based Technologies for Three-Dimensional Reconstruction of Infrastructure

Image-based (i.e., photo/videogrammetry) and time-of-flight-based (i.e., laser scanning) technologies are typically used to collect spatial data of infrastructure. In order to help architecture, engineering, and construction (AEC) industries make cost-effective decisions in selecting between these two technologies with respect to their settings, this paper makes an attempt to measure the accuracy, quality, time efficiency, and cost of applying image-based and time-of-flight-based technologies to conduct as-built 3D reconstruction of infrastructure. In this paper, a novel comparison method is proposed, and preliminary experiments are conducted. The results reveal that if the accuracy and quality level desired for a particular application is not high (i.e., error < 10 cm, and completeness rate > 80%), image-based technologies constitute a good alternative for time-of-flight-based technologies and significantly reduce the time and cost needed for collecting the data on site.

Innovative Stereo Vision-Based Approach to Generate Dense Depth Map of Transportation Infrastructure

Three-dimensional (3-D) spatial data of a transportation infrastructure contain useful information for civil engineering applications, including as-built documentation, on-site safety enhancements, and progress monitoring. Several techniques have been developed for acquiring 3-D point coordinates of infrastructure, such as laser scanning. Although the method yields accurate results, the high device costs and human effort required render the process infeasible for generic applications in the construction industry. A quick and reliable approach, which is based on the principles of stereo vision, is proposed for generating a depth map of an infrastructure. Initially, two images are captured by two similar stereo cameras at the scene of the infrastructure. A Harris feature detector is used to extract feature points from the first view, and an innovative adaptive window-matching technique is used to compute feature point correspondences in the second view. A robust algorithm computes the nonfeature point correspondences. Thus, the correspondences of all the points in the scene are obtained. After all correspondences have been obtained, the geometric principles of stereo vision are used to generate a dense depth map of the scene. The proposed algorithm has been tested on several data sets, and results illustrate its potential for stereo correspondence and depth map generation.

Methods of monitoring of metro lining in Prague

There are several reasons for monitoring of underground structures and they have already been discussed many times, e.g. from the view of ageing or state after accidental event like flooding of Prague metro in 2002. Monitoring of Prague metro is realized in the framework of international research project sponsored by ESF-S3T. The monitoring methods used in Prague are either classical one or new or developing one. The reason for different monitoring methods is the different precision of each method and also for cross-checking between them and their evaluation. Namely we use convergence, tiltmetres, crackmetres, geophysical methods, laser scanning, computer vision and finally installation of MEMS monitoring devices. In the paper more details of each method and obtained results will be presented. The monitoring methods are complemented by wireless data collection and transfer for real-time monitoring. © 2012 Taylor & Francis Group.

Cell surface display of functionally active lipases from Yarrowia lipolytica in Pichia pastoris

The lipase genes of Yarrowia lipolytica, LIPY7 and LIPY8, fused with FLO-flocculation domain sequence from Saccharomyces cerevisiae at their N-termini, were expressed in Pichia pastoris KM71. Following the induction with methanol, the recombinant proteins were displayed on the cell surface of P. pastoris, as confirmed by the confocal laser scanning microscopy. The LipY7p and LipY8p were anchored on P. pastoris via the flocculation functional domain of Flo 1 p. The surface-displayed lipases were characterized for their application as the whole-cell biocatalyst. These lipases can also be cleaved off from their anchor by enterokinase treatment to yield functionally active proteins in the supernatant offering an alternative purification method for LipY7p and LipY8p. (c) 2007 Elsevier Inc. All rights reserved.

Establishment and characterization of dual-species biofilms formed between a 3,5-dinitrobenzoic-degrading strain and bacteria with high biofilm-forming capabilities

In this study, the possibility of establishing a dual-species biofilm from a bacterium with a high biofilm-forming capability and a 3,5-dinitrobenzoic acid (3,5-DNBA)-degrading bacterium, Comamonas testosteroni A3, was investigated. Our results showed that the combinations of strain A3 with each of five strains with a high biofilm-forming capability (Pseudomonas sp. M8, Pseudomonas putida M9, Bacillus cereus M19, Pseudomonas plecoglossicida M21 and Aeromonas hydrophila M22) presented different levels of enhancement regarding biofilm-forming capability. Among these culture combinations, the 24-h dual-species biofilms established by C. testosteroni A3 with P. putida M9 and A. hydrophila M22 showed the strongest resistance to 3,5-DNBA shock loading, as demonstrated by six successive replacements with DMM2 synthetic wastewater. The degradation rates of 3,5-DNBA by these two culture combinations reached 63.3-91.6% and 70.7-89.4%, respectively, within 6 h of every replacement. Using the gfp-tagged strain M22 and confocal laser scanning microscopy, the immobilization of A3 cells in the dual-species biofilm was confirmed. We thus demonstrated that, during wastewater treatment processes, it is possible to immobilize degrader bacteria with bacteria with a high biofilm-forming capability and to enable them to develop into the mixed microbial flora. This may be a simple and economical method that represents a novel strategy for effective bioaugmentation.

Swelling behaviour of alginate-chitosan microcapsules prepared by external gelation or internal gelation technology

Swelling behaviour is one of the important properties for microcapsules made by hydrogels, which always affects the diffusion and release of drugs when the microcapsules are applied in drug delivery systems. In this paper, alginate-chitosan microcapsules were prepared by different technologies called external or internal gelation process respectively. With the volume swelling degree (S-w) as an index, the effect of properties of chitosan on the swelling behaviour of both microcapsules was investigated. It was demonstrated that the microcapsules with low molecular weight and high concentration of chitosan gave rise to low S-w. Considering the need of maintaining drug activity and drug loading, neutral pH and short gelation time were favorable. It was also noticed that S-w of internal gelation microcapsules was lower than that of external gelation microcapsules, which was interpreted by the structure analysis of internal or external gelation Ca-alginate beads with the aid of confocal laser scanning microscope. (C) 2004 Elsevier Ltd. All rights reserved.