Area Optimized H.264 Intra Prediction Architecture for 1080p HD Resolution

High performance video standards use prediction techniques to achieve high picture quality at low bit rates. The type of prediction decides the bit rates and the image quality. Intra Prediction achieves high video quality with significant reduction in bit rate. This paper present an area optimized architecture for Intra prediction, for H.264 decoding at HDTV resolution with a target of achieving 60 fps. The architecture was validated on Virtex-5 FPGA based platform. The architecture achieves a frame rate of 64 fps. The architecture is based on multi-level memory hierarchy to reduce latency and ensure optimum resources utilization. It removes redundancy by reusing same functional blocks across different modes. The proposed architecture uses only 13% of the total LUTs available on the Xilinx FPGA XC5VLX50T.

HD resolution intra prediction architecture for H.264 decoder

High performance video standards use prediction techniques to achieve high picture quality at low bit rates. The type of prediction decides the bit rates and the image quality. Intra Prediction achieves high video quality with significant reduction in bit rate. This paper presents novel area optimized architecture for Intra prediction of H.264 decoding at HDTV resolution. The architecture has been validated on a Xilinx Virtex-5 FPGA based platform and achieved a frame rate of 64 fps. The architecture is based on multi-level memory hierarchy to reduce latency and ensure optimum resources utilization. It removes redundancy by reusing same functional blocks across different modes. The proposed architecture uses only 13% of the total LUTs available on the Xilinx FPGA XC5VLX50T.

High speed digital holographic interferometry for hypersonic flow visualization

Optical imaging techniques have played a major role in understanding the flow dynamics of varieties of fluid flows, particularly in the study of hypersonic flows. Schlieren and shadowgraph techniques have been the flow diagnostic tools for the investigation of compressible flows since more than a century. However these techniques provide only the qualitative information about the flow field. Other optical techniques such as holographic interferometry and laser induced fluorescence (LIF) have been used extensively for extracting quantitative information about the high speed flows. In this paper we present the application of digital holographic interferometry (DHI) technique integrated with short duration hypersonic shock tunnel facility having 1 ms test time, for quantitative flow visualization. Dynamics of the flow fields in hypersonic/supersonic speeds around different test models is visualized with DHI using a high-speed digital camera (0.2 million fps). These visualization results are compared with schlieren visualization and CFD simulation results. Fringe analysis is carried out to estimate the density of the flow field.

RAPID HUMAN ACTION RECOGNITION IN H.264/AVC COMPRESSED DOMAIN FOR VIDEO SURVEILLANCE

This paper discusses a novel high-speed approach for human action recognition in H. 264/AVC compressed domain. The proposed algorithm utilizes cues from quantization parameters and motion vectors extracted from the compressed video sequence for feature extraction and further classification using Support Vector Machines (SVM). The ultimate goal of our work is to portray a much faster algorithm than pixel domain counterparts, with comparable accuracy, utilizing only the sparse information from compressed video. Partial decoding rules out the complexity of full decoding, and minimizes computational load and memory usage, which can effect in reduced hardware utilization and fast recognition results. The proposed approach can handle illumination changes, scale, and appearance variations, and is robust in outdoor as well as indoor testing scenarios. We have tested our method on two benchmark action datasets and achieved more than 85% accuracy. The proposed algorithm classifies actions with speed (>2000 fps) approximately 100 times more than existing state-of-the-art pixel-domain algorithms.

Compressed domain human action recognition in H.264/AVC video streams

This paper discusses a novel high-speed approach for human action recognition in H.264/AVC compressed domain. The proposed algorithm utilizes cues from quantization parameters and motion vectors extracted from the compressed video sequence for feature extraction and further classification using Support Vector Machines (SVM). The ultimate goal of the proposed work is to portray a much faster algorithm than pixel domain counterparts, with comparable accuracy, utilizing only the sparse information from compressed video. Partial decoding rules out the complexity of full decoding, and minimizes computational load and memory usage, which can result in reduced hardware utilization and faster recognition results. The proposed approach can handle illumination changes, scale, and appearance variations, and is robust to outdoor as well as indoor testing scenarios. We have evaluated the performance of the proposed method on two benchmark action datasets and achieved more than 85 % accuracy. The proposed algorithm classifies actions with speed (> 2,000 fps) approximately 100 times faster than existing state-of-the-art pixel-domain algorithms.

High-throughput miniaturized microfluidic microscopy with radially parallelized channel geometry

In this article, we present a novel approach to throughput enhancement in miniaturized microfluidic microscopy systems. Using the presented approach, we demonstrate an inexpensive yet high-throughput analytical instrument. Using the high-throughput analytical instrument, we have been able to achieve about 125,880 cells per minute (more than one hundred and twenty five thousand cells per minute), even while employing cost-effective low frame rate cameras (120 fps). The throughput achieved here is a notable progression in the field of diagnostics as it enables rapid quantitative testing and analysis. We demonstrate the applicability of the instrument to point-of-care diagnostics, by performing blood cell counting. We report a comparative analysis between the counts (in cells per mu l) obtained from our instrument, with that of a commercially available hematology analyzer.

Computationally Guided Monomerization of Red Fluorescent Proteins of the Class Anthozoa

Red fluorescent proteins (RFPs) have attracted significant engineering focus because of the promise of near infrared fluorescent proteins, whose light penetrates biological tissue, and which would allow imaging inside of vertebrate animals. The RFP landscape, which numbers ~200 members, is mostly populated by engineered variants of four native RFPs, leaving the vast majority of native RFP biodiversity untouched. This is largely due to the fact that native RFPs are obligate tetramers, limiting their usefulness as fusion proteins. Monomerization has imposed critical costs on these evolved tetramers, however, as it has invariably led to loss of brightness, and often to many other adverse effects on the fluorescent properties of the derived monomeric variants. Here we have attempted to understand why monomerization has taken such a large toll on Anthozoa class RFPs, and to outline a clear strategy for their monomerization. We begin with a structural study of the far-red fluorescence of AQ143, one of the furthest red emitting RFPs. We then try to separate the problem of stable and bright fluorescence from the design of a soluble monomeric β-barrel surface by engineering a hybrid protein (DsRmCh) with an oligomeric parent that had been previously monomerized, DsRed, and a pre-stabilized monomeric core from mCherry. This allows us to use computational design to successfully design a stable, soluble, fluorescent monomer. Next we took HcRed, which is a previously unmonomerized RFP that has far-red fluorescence (λemission = 633 nm) and attempted to monomerize it making use of lessons learned from DsRmCh. We engineered two monomeric proteins by pre-stabilizing HcRed’s core, then monomerizing in stages, making use of computational design and directed evolution techniques such as error-prone mutagenesis and DNA shuffling. We call these proteins mGinger0.1 (λem = 637 nm / Φ = 0.02) and mGinger0.2 (λem = 631 nm Φ = 0.04). They are the furthest red first generation monomeric RFPs ever developed, are significantly thermostabilized, and add diversity to a small field of far-red monomeric FPs. We anticipate that the techniques we describe will be facilitate future RFP monomerization, and that further core optimization of the mGingers may allow significant improvements in brightness.

青蒿反义鲨烯合酶基因对烟草的转化

利用反义技术研究生物代谢途径以及对其生物合成进行调控成为植物次生代谢研究领域内一个重要手段之一，并与新兴的RNAi技术一起成为本领域内重要的研究热点。在植物类异戊二烯代谢途径中存在着羟甲基戊二酰辅酶A还原酶(HMGR)、法呢基焦磷酸合酶（FPS）和鲨烯合酶（SQS）等几种关键的分支酶，他们被认为在异戊二烯类的生物合成中发挥着关键的调节作用。其中，鲨烯合酶处于HMGR和FPS的下游，并与倍半萜合酶等利用共同的前体－法呢基二磷酸（FPP），以FPP起始合成一系列的下游产物。因此，FPP成为类异戊二烯途径中的关键调节点之一。本论文基于此目的，利用反义技术研究了FPP合成鲨烯这一途径受到抑制对其他以FPP为生物合成前体的代谢支路的影响。 利用植物双元转化载体pBI121，将青蒿中鲨烯合酶基因的cDNA（约1.5kb）序列插入到pBI121中，取代原有的GUS序列，构建成植物转化载体pBIASS。以根癌农杆菌为介导，将青蒿鲨烯合酶反义基因序列导入到烟草，整合到其基因组中 ，成功获得转基因植株。对转基因烟草进行分子检测表明，外源鲨烯合酶基因的序列已经稳定整合到烟草基因组中，并对内源的烟草鲨烯合酶基因表达产生影响。转基因烟草中检测到内源鲨烯合酶基因的mRNA的水平降低。对鲨烯合酶下游产物之一的胆固醇的含量分析显示，活性减低的鲨烯合酶使胆固醇的生物合成下降约40％左右。同时，另一条以FPP为共同前体的二萜代谢途径产物之一GA3的含量得到了提高，比对照提高约30％。

水稻GA3应答基因表达谱微阵列分析与OsGAS1功能初步研究

利用反义技术研究生物代谢途径以及对其生物合成进行调控成为植物次生代谢研究领域内一个重要手段之一，并与新兴的RNAi技术一起成为本领域内重要的研究热点。在植物类异戊二烯代谢途径中存在着羟甲基戊二酰辅酶A还原酶(HMGR)、法呢基焦磷酸合酶（FPS）和鲨烯合酶（SQS）等几种关键的分支酶，他们被认为在异戊二烯类的生物合成中发挥着关键的调节作用。其中，鲨烯合酶处于HMGR和FPS的下游，并与倍半萜合酶等利用共同的前体－法呢基二磷酸（FPP），以FPP起始合成一系列的下游产物。因此，FPP成为类异戊二烯途径中的关键调节点之一。本论文基于此目的，利用反义技术研究了FPP合成鲨烯这一途径受到抑制对其他以FPP为生物合成前体的代谢支路的影响。 利用植物双元转化载体pBI121，将青蒿中鲨烯合酶基因的cDNA（约1.5kb）序列插入到pBI121中，取代原有的GUS序列，构建成植物转化载体pBIASS。以根癌农杆菌为介导，将青蒿鲨烯合酶反义基因序列导入到烟草，整合到其基因组中 ，成功获得转基因植株。对转基因烟草进行分子检测表明，外源鲨烯合酶基因的序列已经稳定整合到烟草基因组中，并对内源的烟草鲨烯合酶基因表达产生影响。转基因烟草中检测到内源鲨烯合酶基因的mRNA的水平降低。对鲨烯合酶下游产物之一的胆固醇的含量分析显示，活性减低的鲨烯合酶使胆固醇的生物合成下降约40％左右。同时，另一条以FPP为共同前体的二萜代谢途径产物之一GA3的含量得到了提高，比对照提高约30％。

青蒿高效遗传转化体系的建立与青蒿素生物合成的分子调控

青蒿素是从中国传统药用植物青蒿（Artemisia annua L.）中提取的新型抗疟特效药。青蒿素在国际市场上供不应求，而青蒿植株中青蒿素的含量很低，因此如何提高青蒿素的产量成为近年来研究的热点。通过基因工程获得转基因青蒿高产株系是提高青蒿素产量的最有潜力的途径之一。 对不同基因型青蒿进行不同的激素浓度配比的比较研究，得到丛生芽诱导率较高、生根诱导率较高的激素配比，从而建立了青蒿高效再生体系。然后系统地分析了青蒿丛生芽诱导、丛生芽生长、丛生芽生根诱导对Kan的敏感性。对影响根癌农杆菌介导青蒿转化的转化效率的两个主要因素，即农杆菌类型和青蒿基因型，以及其它影响因素，即预培养时间、侵染液的组成、共培养的方式和时间进行比较研究，建立了根癌农杆菌介导的青蒿高效转化体系。本高效转化和再生体系的转基因植株的得率为4%至10%，而且转基因植株再生周期短，再生能力强。 通过基因工程，在青蒿高产株系中过量表达本实验室从青蒿中克隆的FPS基因，结果转基因青蒿中FPS的酶活性是非转基因青蒿的2-3倍;转基因青蒿的青蒿素含量最高可达0.9%（DW），是非转基因青蒿中青蒿素含量的1.34倍。这些结果进一步论证了FPS在青蒿素生物合成代谢中的调控作用。

青蒿素生物合成相关基因的功能分析及遗传转化研究

从中国传统药用植物青蒿（Artemisia annua L.）中提取的青蒿素及其半合成衍生物如蒿甲醚等是一类新型的抗疟特效药，特别是对抗氯喹的恶性疟疾和脑型疟疾有很好的疗效。由于青蒿素在植物中的含量极低，使得其价格很高，特别是对于亚非拉等第三世界国家来说。因此如何提高青蒿素的产量成为近年来研究的热点。各种传统的育种、生理生化手段和细胞培养技术均未取得较好的结果，因此，利用植物基因工程技术提高青蒿素产量已成为研究的重点之一。 本论文围绕青蒿素的生物合成途径开展了以下的工作： 一、中药青蒿紫穗槐二烯合酶的大肠杆菌表达、纯化与功能鉴定 利用RT-PCR方法，从中药青蒿高产株系001中克隆到的中药青蒿紫穗槐二烯合酶(ADS) cDNA, 其推测编码蛋白与前人报道的有两个位点的突变。将其开放阅读框插入到原核表达载体pET30a(+)的BamHⅠ和XhoⅠ酶切位点之间，构建N端携带有HIS6表达标签的紫穗槐二烯合酶重组表达载体pETADS。将pETADS转入大肠杆菌BL21(DE3)， IPTG (Isopropyl-beta -D-thiogalactoside)诱导重组紫穗槐二烯合酶的表达。表达产物经镍琼脂糖柱纯化。纯化蛋白加入酶促反应体系（含FPP），GC-MS分析酶促反应体系的正己烷萃取物，结果显示重组紫穗槐二烯合酶可以催化FPP向紫穗槐二烯的转化。体外酶促动力学分析表明，两个位点的氨基酸突变，并没有影响到青蒿紫穗槐二烯合酶的催化活性。基因组DNA杂交表明，紫穗槐二烯合酶基因在001株系基因组中至少有4个拷贝。 二、中药青蒿鲨烯合酶的大肠杆菌表达、纯化与功能鉴定 将经RACE方法克隆到的中药青蒿鲨烯合酶cDNA(AF302464) 开放阅读框的3'末端截短99 bp，插入到原核表达载体pET30a(+)的NcoⅠ和BamHⅠ酶切位点之间，构建N端和C端均携带有HIS6表达标签的鲨烯合酶重组表达载体pETSSA。将pETSSA转入大肠杆菌BL21(DE3)， IPTG (Isopropyl-beta-D-thio galactoside)诱导重组鲨烯合酶的表达。表达产物经镍琼脂糖柱纯化。纯化蛋白加入酶促反应体系（含FPP和NADPH），GC-MS分析酶促反应体系的正己烷萃取物，结果显示重组鲨烯合酶可以催化FPP向鲨烯的转化。青蒿鲨烯合酶的功能鉴定，为进一步利用反义或RNAi技术限制甾类生物合成，从而提高青蒿中的青蒿素含量提供了基础。 三、中药青蒿法呢醇合酶原核表达、纯化与功能鉴定 将经RACE方法克隆到的中药青蒿倍半萜合酶cDNA ( AF304444) 开放阅读框插入到原核表达载体pET30a(+)的NcoⅠ和BamHⅠ酶切位点之间，构建N端和C端均携带有HIS6表达标签的重组表达载体pET30SESQ。将pET30SESQ转入大肠杆菌BL21(DE3)， IPTG (Isopropyl-beta-D-thioga lactoside)诱导蛋白表达，表达产物经镍琼脂糖柱纯化。纯化蛋白加入酶促反应体系（FPP），GC-MS分析酶促反应体系的正己烷萃取物，结果显示此重组酶可以催化FPP向法呢醇的转化。 四、中药青蒿FPS、ADS双功能酶基因的构建、表达与功能鉴定 将青蒿素生物合成途径中催化两步连续反应的酶：法呢基焦磷酸合酶和紫穗槐二烯合酶的基因进行融合，经大肠杆菌表达后鉴定融合蛋白的功能，结果表明融合蛋白具有了双功能酶活性。进一步将融合酶基因转入酿酒酵母中，发酵后检测紫穗槐二烯的含量，并与同时转入法呢基焦磷酸合酶和紫穗槐二烯合酶单个基因的酵母、单独转入紫穗槐二烯合酶基因的酵母进行了比较，结果表明，转入双功能酶的酵母发酵获得的紫穗槐二烯含量要比两个对照酵母高，这表明，获得的双功能酶的催化效率要比两个单独酶的催化效率高。 五、过量表达青蒿紫穗槐二烯合酶对青蒿中青蒿素及其前体物含量的影响 利用根癌农杆菌介导，将青蒿紫穗槐二烯合酶转入青蒿株系001，分子检测证明，紫穗槐二烯合酶整合到了青蒿基因组中并在mRNA水平得到了高效表达。部分转基因青蒿的青蒿素含量有明显增加，最多的比001株系提高了41%。青蒿酸和二氢青蒿酸含量测定表明，转基因青蒿株系的青蒿酸和二氢青蒿酸含量最多的比对照分别提高了47%和79%。这些结果表明，紫穗槐二烯合成在青蒿素生物合成途径中是一个限速步骤，同时，也显示青蒿酸或二氢青蒿酸的进一步转化也可能是青蒿素生物合成中下游的限速步骤。

中药青蒿萜类代谢物谱分析及青蒿素生物合成的研究

青蒿素是从中药青蒿，学名黄花蒿（Artemisia annua L.）植物地上部分分离出的抗疟疾有效单体，为一种倍半萜内酯类化合物，其生物合成途径属于植物类异戊二烯代谢途径。青蒿素生物合成途径及其调控机制仍不完全清楚，本论文采用GC-MS 和GC×GC-TOFMS 方法对青蒿萜类代谢物谱进行检测，用多维统计学方法对检测结果进行整理和比较分析，研究青蒿素生物合成及其与青蒿中其他萜类代谢的关系，取得了以下结果： 一、通过GC×GC-TOFMS 方法对青蒿挥发油成分进行分析，共鉴定出303 种组分。其中挥发油中相对百分含量大于1%的10 种组分中有9 种为萜类化合物，含量接近总挥发油的50%。在相对百分含量大于0.1%的49 种成分中，有30 种萜类化合物。有27 种相对百分含量大于0.1%的成分首次在青蒿挥发油中报道，其中包括10 种萜类化合物。 二、利用GC-MS 方法分析了青蒿001 和SP18 两个青蒿素高产株系不同生长时期萜类代谢物谱，结果表明：青蒿中萜类化合物在不同时期合成和积累是动态变化的，萜类化合物的种类和数量在营养生长期随生长时间的延长而提高，在营养生长后期和现蕾前期达到最高水平，进入生殖生长后随生长时间的延长而迅速降低。通过多维统计PLS-DA（Partial Leasted Square Discriminant Analysis） 分析，确定001 中有17 个化合物的含量在不同生长时期有明显变化，其中15 个为萜类化合物。SP18 中有18 个化合物的含量在不同生长时期有明显变化，其中16 个为萜类化合物。青蒿素，青蒿酸，二氢青蒿酸，青蒿素B 都是含量变化明显的标记物。其中青蒿酸和二氢青蒿酸含量在营养生长后期达到最高水平，进入生殖生长后迅速下降，而青蒿素和青蒿素B 在整个检测时期含量变化相对较小，在营养生长时期含量已经较高，在现蕾前期含量稍有上升，进入现蕾期后有所下降，本研究确定现蕾前期为代谢物谱分析最佳取样时期，并为药材采收提供指导。 三、不同基因型青蒿代谢物谱研究表明，青蒿素高产株系SP18 和001 代谢物表现出一定的差异，通过多维统计PLS-DA 分析，共找出了22 种在两种基因型中差异明显的化合物，其中包括倍半萜化合物12 种，单萜化合物3 种，三萜化合物4 种。SP18 特征化合物为樟脑和两个未鉴定倍半萜化合物，而001 特征化合物是龙脑和β-法呢烯。另外两种基因型中青蒿素及相关前体化合物的积累模式差异明显，SP18 中二氢青蒿酸和青蒿素含量高，而青蒿酸和青蒿素B 含量极低；001 中二氢青蒿酸和青蒿素含量相对SP18 要低，但青蒿素B 和青蒿酸含量比SP18 要高。该结果表明在青蒿素高产株系中，青蒿素含量与二氢青蒿酸的含量呈正相关，结合Brown 等的活体标记研究结果分析，从二氢青蒿酸到青蒿素的转化可能是青蒿素合成的限速步骤。 四、利用GC×GC-TOFMS 方法对转基因青蒿萜类代谢物谱进行了分析，共对200 个左右化合物峰进行PLS-DA 和OSC-PLS (Orthogonal Signal Correction–Partial leasted Square)多维统计分析，结果表明：青蒿萜类代谢物谱在外源基因转入后发生显著变化，与对照株系相比均呈现显著差异。其中过量表达Amorpha-4,11-diene 合酶基因（ads）株系中青蒿素及相关化合物变化最明显，而过量表达FPP 合酶基因（fps）株系中青蒿素及相关化合物变化相对较小，在受到调控而成为差异标记物的化合物中，70%是倍半萜类化合物。 五、考察了外源茉莉酸甲酯对青蒿素生物合成的影响，结果表明：300 μM 外源茉莉酸甲酯能提高青蒿素含量，在处理后第8 天青蒿素含量提高38%。青蒿萜类代谢物谱研究表明，茉莉酸甲酯不仅可以诱导青蒿中青蒿素的合成，还能诱导很多化合物，特别是倍半萜和三萜类的合成。OSC-PLS 分析结果找出了9 个处理后含量明显提高的标记物，其中6 个倍半萜化合物，3 个三萜化合物。标记物鲨烯含量提高了67%，另一个未鉴定出结构的倍半萜提高了60%，这些化合物可能与青蒿素有着类似的调控机制，而外源喷洒茉莉酸甲酯可以作为提高青蒿素产量的有效途径之一。

中药青蒿紫穗槐二烯合酶基因表达及调控的研究

青蒿素是从我国传统药用植物中药青蒿（Artemisia annua L.）中提取的新型抗疟特效药，其生物合成途径属于植物类异戊二烯代谢途径。目前，青蒿素生物合成的组织部位及其调控机制仍不完全清楚。紫穗槐二烯合酶（amorpha-4， 11-diene synthase, ADS）作为青蒿素生物合成分支途径的第一个关键酶，催化倍半萜化合物的通用前体法呢基焦磷酸环化，生成紫穗槐二烯。本论文通过对ADS 表达特性的分析，研究了青蒿素生物合成的组织特异性及其调控机制，主要研究结果如下： 一．紫穗槐二烯合酶基因启动子功能的研究 从青蒿高产株系001 中克隆得到了2850 bp 的ADS 启动子调控区。通过比较5’RACE 的测序结果与启动子序列，确定转录起始位点位于翻译起始位点上游44 bp，TATA 盒下游27 bp。该启动子序列包含的顺式作用元件有脱落酸应答元件(ABRE )、乙烯应答元件(ERE)、生长素应答元件(AUXRE）等植物激素反应元件，以及低温应答元件（LTRE）、高温应答元件（HSE）等与逆境有关的反应元件，还有与真菌诱导有关的W-box 元件等。将不同长度ADS 启动子与报告基因GUS 融合，构建了植物表达载体，通过农杆菌介导的方法获得稳定整合的转基因烟草。经过组织化学、GUS 荧光活性检测及RT-PCR 分析，发现该启动子的转录活性很低，无法通过GUS 染色进行观察。GUS 荧光活性检测及RT-PCR 结果表明，转录起始位点上游346 bp 是ADS 基础表达所必需的。高温、低温、干旱、水杨酸、茉莉酸甲酯等处理均能促进青蒿中ADS 的表达，而脱落酸和乙烯的作用效果较小，与启动子序列分析的结果并不完全一致。 二．紫穗槐二烯合酶基因表达特性的研究 以青蒿高产株系001 为材料，在基因和蛋白水平揭示了ADS 的表达特性。RT-PCR 和Western 分析结果表明，ADS 在幼叶和花蕾中大量表达，在老叶和完全开放的花中表达量很低，而在青蒿的根和茎中几乎检测不到ADS 的表达。石蜡切片和整体原位杂交的结果表明，ADS 在顶端分生组织、叶原基及分泌腺毛中表达，在非分泌的T 型腺毛中不表达。当叶片完全展开后，ADS 只在分泌腺毛中表达，而且随着叶片的生长和老化，ADS 的表达量逐渐减少。另一个非常有趣的发现是同一叶片上的分泌腺毛，有些有ADS 的表达，有些则没有。用强光、低温、高温和水杨酸等因素处理后，有ADS 表达的分泌腺毛的比例没有明显的变化。 三．外源水杨酸促进青蒿素的生物合成 研究了外源水杨酸对青蒿素生物合成的影响，结果表明：1 mM 水杨酸处理后，青蒿叶片中的游离态水杨酸含量快速增加，处理后4 h 达到 0.79 μg g-1 FW，是对照的3.5 倍。外源水杨酸能够抑制青蒿中过氧化氢酶活性，提高抗坏血酸过氧化物酶活性，并通过对抗氧化酶活性的抑制引起青蒿体内活性氧水平的迅速升高。在处理后4 h，青蒿中H2O2 和O2-的含量分别达到对照的2.1 倍和2.4 倍。青蒿素含量在水杨酸处理后的前8 h 缓慢升高，随后升高的速度增加。外源水杨酸处理后8 h 和96 h，青蒿素含量分别达到9.1 mg g-1DW 和13.9 mg g-1DW，比对照高21.7%和75.8%。处理后8 h，青蒿酸的含量没有明显变化，随后开始增加。处理后16 h，青蒿酸的含量达到3.6 mg g-1DW，比对照高90%， 随后继续升高，至96 h 达到4.98 mg g-1 DW，比对照高127%。二氢青蒿酸的含量在处理后的8 h 内有所下降，随后缓慢升高。处理后8 h，二氢青蒿酸的含量降低了23.3%，随后二氢青蒿酸的含量开始升高，在处理后96 h，达到7.4 mg g-1DW，比对照高72.1%。外源SA 处理提高了青蒿素及其前体的总含量，在处理后1、2、4 天分别比对照提高了1.3、1.5 和1.8 倍。Northern 结果表明，水杨酸强烈诱导了青蒿素生物合成基因HMGR、ADS 的表达，但是对FPS、CYP71AV1 的诱导作用较小。这些研究结果表明，外源水杨酸至少通过两条途径诱导青蒿素的生物合成：一是通过诱导活性氧的产生促进二氢青蒿酸向青蒿素的转化；二是上调部分青蒿素生物合成相关基因的表达。根据这一研究成果，在青蒿田间栽培中，可以在收获前通过喷施水杨酸来快速、有效和低成本地提高青蒿素产量。

A 1,000 Frames/s Programmable Vision Chip with Variable Resolution and Row-Pixel-Mixed Parallel Image Processors

A programmable vision chip with variable resolution and row-pixel-mixed parallel image processors is presented. The chip consists of a CMOS sensor array, with row-parallel 6-bit Algorithmic ADCs, row-parallel gray-scale image processors, pixel-parallel SIMD Processing Element (PE) array, and instruction controller. The resolution of the image in the chip is variable: high resolution for a focused area and low resolution for general view. It implements gray-scale and binary mathematical morphology algorithms in series to carry out low-level and mid-level image processing and sends out features of the image for various applications. It can perform image processing at over 1,000 frames/s (fps). A prototype chip with 64 x 64 pixels resolution and 6-bit gray-scale image is fabricated in 0.18 mu m Standard CMOS process. The area size of chip is 1.5 mm x 3.5 mm. Each pixel size is 9.5 mu m x 9.5 mu m and each processing element size is 23 mu m x 29 mu m. The experiment results demonstrate that the chip can perform low-level and mid-level image processing and it can be applied in the real-time vision applications, such as high speed target tracking.

Algal biotechnology industries and research activities in China

In old China there were very few people engaged in the study of the algae, but in new China, freshwater and marine algae are studied by over one hundred old and new phycologists. There is now an algal biotechnology industry consisting of an aquaculture industry, producing large amounts of the seaweeds Laminaria, Porphyra, Undaria, Gracilaria, eucheumoids, and the microalgae Dunaliella and Spirulina. There is also a phycocolloid industry, producing algin, agar and carrageenan; an industry producing chemicals and drugs, such as iodine, mannitol, phycocyanin, beta -carotene, PSS (propylene glycol alginate sulfate) and FPS (fucose-containing sulfated polysaccharides) and an industry producing food, feed and fertilizer. The Laminaria cultivation industry produces about 900,000 t dry Laminaria, probably the largest producer in the world and 13,000 t algin, undoubtedly one of the largest algin producer in the world.