A Novel Method for Detection of Endo-Xyloglucan Transferase

A new approach has been developed for quantification of theactivity of endo-xyloglucan transferase, a novel enzyme thatmediates the transfer of a segment of one xyloglucan moleculeto another xyloglucan molecule. Purified xyloglucans with definedmolecular-weight distributions and their fluorescent derivatives(pyridylamino xyloglucans) were used as substrates for the enzymaticreaction. The transferase activity was quantified by monitoringchanges in molecular-weight distributions of substrates by analkali compatible gel permeation chromatographic system, equippedwith a pulsed amperometric detector and a fluorescence detector.This new method was applied to the rapid detection and characterizationof a novel transferase derived from plant tissues. (Received February 28, 1992; Accepted September 28, 1992)     

Vision without Frames: A Semiotic Paradigm of Event Based Computer Vision

Conventional imagers and almost all vision processes use and rely on theories that are based on the principle of static image-frames. A frame is a 2D matrix that represents the spatial locations of intensities of a scene projected on the imager. The notion of a frame itself is so embedded in machine vision, that it is usually taken for granted that this is how biological systems store light information. This paper presents a biosinpired event-based image formation principle, which output data rely on an asynchronous acquisition process. The generated information is stored in temporal volumes, which size and information depend only on the dynamic content of observed scenes. Practical analysis of such information will shows that the processing of visual information can only be based on a semiotic process. The paper also provides a general definition of the notion of visual features as the interpretation of signs according to different possible readings of the codified visual signal.     

A Novel Vision Localization Method of Automated Micro-Polishing Robot

Based on photogrammetry technology,a novel localization method of micro-polishing robot,which is restricted withincertain working space,is presented in this paper.On the basis of pinhole camera model,a new mathematical model of visionlocalization of automated polishing robot is established.The vision localization is based on the distance-constraints of featurepoints.The method to solve the mathematical model is discussed.According to the characteristics of gray image,an adaptivemethod of automatic threshold selection based on connected components is presented.The center coordinate of the featureimage point is resolved by bilinear interpolation gray square weighted algorithm.Finally,the mathematical model of testingsystem is verified by global localization test.The experimental results show that the vision localization system in working spacehas high precision.     

A Method for the Isolation of Nuclei from Leaves

A method is described for the isolation of nuclei from the leavesof higher plants. It is fairly rapid and up to 30 per cent ofthe total nuclei of the leaves of some plants may be recovereduncontaminated with other organelles and undamaged accordingto microscopical criteria, except for rupture of the nuclearmembrane. The improvement of yields and the speed of isolationwere achieved by a preliminary infiltration of the leaves withenzymes which attack the plant cell wall. In other respectsthe method resembles earlier procedures.     

多通道神经元锋电位检测和分类的新方法

大脑神经元胞外单细胞动作电位(即锋电位)的检测和分类是提取神经元脉冲序列、研究神经系统信息处理机制的关键．为了提高锋电位的检出率和分类的正确性,设计了一种处理多通道锋电位记录信号的算法,用于分析微电极阵列记录的大鼠海马神经元锋电位信号,电极阵列上的测量点排列紧密,4个通道可以同时记录到来自相同神经元的信号．该算法首先利用一种多通道阈值检测法检出四通道记录信号中的锋电位,然后利用一种基于复合锋电位的主成分特征参数分类法将锋电位分类．仿真数据和实验记录信号的检验结果表明：与相应的单通道算法相比,该算法的锋电位检出率和分类的正确性显著提高,并且可以增加单次实验测得的神经元数目．因此,该算法为实现神经元锋电位的自动检测提供了一种简单有效的新 方法．     

A Simple Method for Rapid Detection of Chromosomes or Nuclei in Yolk-Rich Avian Oocytes or Eggs

As early as 1914 Van Durme described how difficult it is to detect the small avian chromosomes among the enormous mass of yolk granules at the end of oogenesis. During the ensuing fertilization and early cleavage period, he could hardly follow the rapidly changing morphology of the nuclei and chromosomes, since the classical staining methods also stained the intervitelline material.     

Accurate Automatic Detection of Densely Distributed Cell Nuclei in 3D Space

To measure the activity of neurons using whole-brain activity imaging, precise detection of each neuron or its nucleus is required. In the head region of the nematode C. elegans, the neuronal cell bodies are distributed densely in three-dimensional (3D) space. However, no existing computational methods of image analysis can separate them with sufficient accuracy. Here we propose a highly accurate segmentation method based on the curvatures of the iso-intensity surfaces. To obtain accurate positions of nuclei, we also developed a new procedure for least squares fitting with a Gaussian mixture model. Combining these methods enables accurate detection of densely distributed cell nuclei in a 3D space. The proposed method was implemented as a graphical user interface program that allows visualization and correction of the results of automatic detection. Additionally, the proposed method was applied to time-lapse 3D calcium imaging data, and most of the nuclei in the images were successfully tracked and measured.     

Improved and Robust Detection of Cell Nuclei from Four Dimensional Fluorescence Images

Segmentation-free direct methods are quite efficient for automated nuclei extraction from high dimensional images. A few such methods do exist but most of them do not ensure algorithmic robustness to parameter and noise variations. In this research, we propose a method based on multiscale adaptive filtering for efficient and robust detection of nuclei centroids from four dimensional (4D) fluorescence images. A temporal feedback mechanism is employed between the enhancement and the initial detection steps of a typical direct method. We estimate the minimum and maximum nuclei diameters from the previous frame and feed back them as filter lengths for multiscale enhancement of the current frame. A radial intensity-gradient function is optimized at positions of initial centroids to estimate all nuclei diameters. This procedure continues for processing subsequent images in the sequence. Above mechanism thus ensures proper enhancement by automated estimation of major parameters. This brings robustness and safeguards the system against additive noises and effects from wrong parameters. Later, the method and its single-scale variant are simplified for further reduction of parameters. The proposed method is then extended for nuclei volume segmentation. The same optimization technique is applied to final centroid positions of the enhanced image and the estimated diameters are projected onto the binary candidate regions to segment nuclei volumes.Our method is finally integrated with a simple sequential tracking approach to establish nuclear trajectories in the 4D space. Experimental evaluations with five image-sequences (each having 271 3D sequential images) corresponding to five different mouse embryos show promising performances of our methods in terms of nuclear detection, segmentation, and tracking. A detail analysis with a sub-sequence of 101 3D images from an embryo reveals that the proposed method can improve the nuclei detection accuracy by 9 over the previous methods, which used inappropriate large valued parameters. Results also confirm that the proposed method and its variants achieve high detection accuracies ( 98 mean F-measure) irrespective of the large variations of filter parameters and noise levels.     

The Problem of Nucleolar Number in Cell Nuclei and in Sections of Cell Nuclei

In this paper the mean number N of nucleoli of cell nuclei and the relative frequency PN of cell nuclei with N nucleoli are investigated. To solve the first problem, the stereological model of convex shaped nuclei and nucleoli and the assumption of randomly-isotropically distributed objects in space are used. The model is developed for non-vanishing thickness T of tissue sections. The relationship between the unknown number N of nucleoli in cell nuclei and the mean number n of nucleoli in nuclear sections determined by counting is N = n (D+T)/(d + T). Here D and d are the mean values of caliper diameter for nuclei and for nucleoli, resp. The second problem is illustrated by means of some biomedical examples: The relative frequency PN of cell nuclei with N nucleoli can be approximated by a generalized Poisson distribution in all investigated cases. Therefore the mean nucleolar number N is the essential parameter to describe the frequencies of cell nuclei with different numbers of nucleoli.     

A Novel Method for Assessment of Natural Killer Cell Cytotoxicity Using Image Cytometry

Natural killer (NK) cells belong to the innate arm of the immune system and though activated NK cells can modulate immune responses through the secretion of cytokines, their primary effector function is through target cell lysis. Accordingly, cytotoxicity assays are central to studying NK cell function. The ⁵¹Chromium release assay, is the “gold standard” for cytotoxicity assay, however, due to concerns over toxicity associated with the use and disposal of radioactive compounds there is a significant interest in non-radioactive methods. We have previously used the calcein release assay as a non-radioactive alternative for studying NK cell cytotoxicity. In this study, we show that the calcein release assay varies in its dynamic range for different tumor targets, and that the entrapped calcein could remain unreleased within apoptotic bodies of lysed tumor targets or incompletely released resulting in underestimation of percent specific lysis. To overcome these limitations, we developed a novel cytotoxicity assay using the Cellometer Vision Image Cytometer and compared this method to standard calcein release assay for measuring NK cell cytotoxicity. Using tumor lines K562, 721.221, and Jurkat, we demonstrate here that image cytometry shows significantly higher percent specific lysis of the target cells compared to the standard calcein release assay within the same experimental setup. Image cytometry is able to accurately analyze live target cells by excluding dimmer cells and smaller apoptotic bodies from viable target cell counts. The image cytometry-based cytotoxicity assay is a simple, direct and sensitive method and is an appealing option for routine cytotoxicity assay.     

磁性多肽纳米探针的新法制备及其在细胞分离中的应用

通过静电自组装方法,在磁性纳米颗粒表面依次修饰带正电的聚二甲基二烯丙基氯化胺(Poly(diallyldimethylammoniumchloride),PDADMAC)和带负电的聚丙烯酸(Poly(acrylicacid),PAA),获得羧基化的磁性纳米复合粒子。进而将PAA上的羧基在1-乙基-3(3-二甲基胺基丙基)碳二亚胺盐酸盐(1-ethyl-3(3-dimethylaminopropyl)-carbodiimide,EDC)活化下与多肽LyP-1(CGNKRTRGC)上的氨基发生反应,从而使多肽LyP-1成功地连接到磁性颗粒表面,获得的磁性多肽纳米颗粒可靶向分离肺腺癌SPCA-1细胞,但不识别正常人胚肾293细胞。     

Birefringence and Paraffinophilia of Cell Nuclei

Birefringence of cell nuclei was present in most tissues but seen exclusively in paraffin sections. Only after staining with an acridinc derivative (rivanol) was it found in smears and frozen sections. Although retention of paraffin in the nucleus contributes, for the most part to its anisotropy, present evidence supports the hypothesis that the chemical nature and the physical state of nuclear material, especially of the DNA, plays the important role as a substrate, which selectively binds of paraffin molecules. This evidence is based mainly on the blocking effect on birefringence which occurs when small pieces of tissues are treated in toto, before paraffin embedding, with DNA-extracting procedures and nuclear stainings. Moreover, the variability in degree and extent of birefringence noted in different tissues corroborates this view. Factors in the preparatory procedure, i.e, deparaffinization, hydration and dehydration, were found to affect markedly the binding of paraffin to nuclear substance. Nevertheless, if paraffin affinity for nuclei is not considered, it may introduce inaccuracies into methods designed to determine the nuclear mass quantitatively, after staining.     

Evaluation of a Novel Magneto-Optical Method for the Detection of Malaria Parasites

Improving the efficiency of malaria diagnosis is one of the main goals of current malaria research. We have recently developed a magneto-optical (MO) method which allows high-sensitivity detection of malaria pigment (hemozoin crystals) in blood via the magnetically induced rotational motion of the hemozoin crystals. Here, we evaluate this MO technique for the detection of Plasmodium falciparum in infected erythrocytes using in-vitro parasite cultures covering the entire intraerythrocytic life cycle. Our novel method detected parasite densities as low as ∼40 parasites per microliter of blood (0.0008% parasitemia) at the ring stage and less than 10 parasites/µL (0.0002% parasitemia) in the case of the later stages. These limits of detection, corresponding to approximately 20 pg/µL of hemozoin produced by the parasites, exceed that of rapid diagnostic tests and compete with the threshold achievable by light microscopic observation of blood smears. The MO diagnosis requires no special training of the operator or specific reagents for parasite detection, except for an inexpensive lysis solution to release intracellular hemozoin. The devices can be designed to a portable format for clinical and in-field tests. Besides testing its diagnostic performance, we also applied the MO technique to investigate the change in hemozoin concentration during parasite maturation. Our preliminary data indicate that this method may offer an efficient tool to determine the amount of hemozoin produced by the different parasite stages in synchronized cultures. Hence, it could eventually be used for testing the susceptibility of parasites to antimalarial drugs.     

A Novel Method for Localizing Reporter Fluorescent Beads Near the Cell Culture Surface for Traction Force Microscopy

PA gels have long been used as a platform to study cell traction forces due to ease of fabrication and the ability to tune their elastic properties. When the substrate is coated with an extracellular matrix protein, cells adhere to the gel and apply forces, causing the gel to deform. The deformation depends on the cell traction and the elastic properties of the gel. If the deformation field of the surface is known, surface traction can be calculated using elasticity theory. Gel deformation is commonly measured by embedding fluorescent marker beads uniformly into the gel. The probes displace as the gel deforms. The probes near the surface of the gel are tracked. The displacements reported by these probes are considered as surface displacements. Their depths from the surface are ignored. This assumption introduces error in traction force evaluations. For precise measurement of cell forces, it is critical for the location of the beads to be known. We have developed a technique that utilizes simple chemistry to confine fluorescent marker beads, 0.1 and 1 µm in diameter, in PA gels, within 1.6 μm of the surface. We coat a coverslip with poly-D-lysine (PDL) and fluorescent beads. PA gel solution is then sandwiched between the coverslip and an adherent surface. The fluorescent beads transfer to the gel solution during curing. After polymerization, the PA gel contains fluorescent beads on a plane close to the gel surface.     

猪细小病毒LDR-PCR检测方法的建立和应用

为准确特异灵敏地检测猪细小病毒(PPV),建立一种新的LDR-PCR方法。首先在病毒的保守区内设计一对LDR探针,LDR探针两端各连有一段引物对应序列,以连接产物为模板进行PCR,琼脂糖凝胶电泳检测结果。以标准质粒为模板,通过对LDR反应的退火温度、连接酶浓度及探针浓度等反应条件进行优化,确定了LDR最佳的反应体系,并建立了LDR-PCR方法。结果表明,可以特异地检测PPV,与猪繁殖与呼吸障碍综合征病毒(PRRSV)、猪瘟病毒(CSFV)、伪狂犬病毒(PRV)、猪圆环病毒(PCV)、猪传染性胃肠炎病毒(TGEV)、猪流行性腹泻病毒(PEDV)无交叉反应;最低检测限为102个拷贝。利用建立的方法对41例临床样本进行检测,14份样品PPV阳性,与普通PCR检测结果符合率为97.6%。     

A Novel Technique for Viable Cell Determinations

We have developed a simple method to determine cell viability using two fluorescent dyes, Hoechst 33258 and acridine orange. When these dyes are used in combination, dead cells fluoresce brilliant blue and live cells fluoresce green. This method works over a range of dye concentrations (Hoechst 33258, 0.25-2 μg/ml; acridine orange, 1-5.0 μg/ml) and the fluorescence spectra of the two dyes are such that only one set of filters is required to visualize the effects of both dyes simultaneously. It is insensitive to a wide range of exogenous serum concentrations and is read with greater uniformity by different observers.     

A Novel Method of Object Detection from a Moving Camera Based on Image Matching and Frame Coupling

A new method based on image matching and frame coupling to handle the problems of object detection caused by a moving camera and object motion is presented in this paper. First, feature points are extracted from each frame. Then, motion parameters can be obtained. Sub-images are extracted from the corresponding frame via these motion parameters. Furthermore, a novel searching method for potential orientations improves efficiency and accuracy. Finally, a method based on frame coupling is adopted, which improves the accuracy of object detection. The results demonstrate the effectiveness and feasibility of our proposed method for a moving object with changing posture and with a moving camera.     

A Novel Form of Stereo Vision in the Praying Mantis

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A Simple Method for Staining Nuclei of Mature and Germinated Maize Pollen

A sugar acetocannine staining technique has been developed for staining the sperm and vegetative nucleus of mature and germinated maize pollen grains. This procedure is simple, stable and highly repeatable. The physiological properties of the mature maize pollen grains are first adjusted by using an in vitro germinating culture solution. This solution is 15% sucrose and contains 360 ppm calcium chloride dihydrate, and 120 ppm boric acid. One part fresh pollen grains is uniformly mixed with nine parts of the solution and left at room temperature for at least 5 hr. One part of this solution is then mixed with two parts of regular acetocannine stain and left overnight. The color of this mixture is pinkish red or raspberry. The sugar in the mixture helps to increase color contrast between the pollen cytoplasm (light pink) and the nuclei (reddish purple), decreases the frequency of burst pollen, increases pollen expansion, stabilizes pollen figures and automatically seals the coverglass.     

A Novel Approach for Lie Detection Based on F-Score and Extreme Learning Machine

A new machine learning method referred to as F-score_ELM was proposed to classify the lying and truth-telling using the electroencephalogram (EEG) signals from 28 guilty and innocent subjects. Thirty-one features were extracted from the probe responses from these subjects. Then, a recently-developed classifier called extreme learning machine (ELM) was combined with F-score, a simple but effective feature selection method, to jointly optimize the number of the hidden nodes of ELM and the feature subset by a grid-searching training procedure. The method was compared to two classification models combining principal component analysis with back-propagation network and support vector machine classifiers. We thoroughly assessed the performance of these classification models including the training and testing time, sensitivity and specificity from the training and testing sets, as well as network size. The experimental results showed that the number of the hidden nodes can be effectively optimized by the proposed method. Also, F-score_ELM obtained the best classification accuracy and required the shortest training and testing time.