光学相干层析用于牙齿病变的检测

阐述了适用于牙齿结构成像的光学相干层析成像(OCT)系统。系统光源中心波长为1 310 nm,成像分辨率10μm,在牙内成像深度2 mm,成像速度1幅/秒,系统信噪比100 dB。利用此OCT仪清晰检测到牙齿样品的牙釉质和牙本质,观察到牙釉质与牙本质的分界面以及正常牙齿牙釉质与龋齿牙齿牙釉质OCT图像的区别。进一步设计研制了适用于口腔内探测的小型OCT探头。     

自发和光诱导的生物超微弱发光图像的观测

本文报导一种最新研制的高探测灵敏度,低噪声的光子图像观测系统。利用该系统观测了绿豆芽,小葱和树叶等活体品的超弱发光图像。     

IMAGE ANALYSIS AS A RAPID PATHOGEN DETECTION METHOD FOR USE IN POULTRY INDUSTRY

An image analysis system was developed and evaluated as a method for rapid detection of Salmonella typhimurium in pure culture and in chicken washes. A direct immunomagnetic separation and immunofluorescent staining technique was developed to capture and identify target cells. Digital images were acquired and segmented into background and bacteria. Bacteria were enumerated using a custom designed image analysis software. The image analyses results were compared with manual enumeration. A correlation coefficient of 0.78 was established between manual and image analysis counts. In addition, the difference between the manual and the image analysis bacterial counts in individual images was low. Image analysis took an average of 15 s to analyze an image. The results indicate that the proposed system has the potential to be used as a rapid screening procedure for bacterial detection in the food industry.     

Theory and implementation of an electronic, automated measurement system for images obtained from immunohistochemically stained slides

OBJECTIVE: To develop and implement an Internet-based, automated image measurement system for immunohistochemically stained slides including fluorescence images in online and off-line modes. STUDY DESIGN: An image analyzing system was developed that automatically measures digitized images obtained from immunohistochemically stained slides. It is divided into a common server platform and a specific image quantification system based upon DIAS (University of Jena). After registration, the user fills in an input data form and attaches images to be measured. The server periodically transfers the data to the measurement system. The measurement works on dynamic thresholding and active sampling of objects visualized by fluorescence and conventional chromogens. It includes stereologic algorithms, object quantification, syntactic structure analysis and quality assurance. RESULTS: The system has been tested for diaminobenzidene, alkaline phosphatase and fluorescence images (FITC, etc.). The reproducibility and stability of the system are > 98%. The series of successfully measured images comprises > 1,000 images in total in the online and off-line modes. CONCLUSION: An Internet-based automated image measurement system has been developed that offers worldwide access to the major requests for quantification of immunohistochemically stained slides-tissue array analysis, nuclear stains (MIB, hormones), membrane stains (CerbB2), vascularization and fluorescence in situ hybridization.     

Analysis of morphological characteristics of Solanum chrysotrichum cell suspension cultures

Cell size distribution of Solanum chrysotrichum cell suspension cultures was determined using mechanical sieving and an image analysis system. The results were compared using the sieve size (<0.25, 0.25–0.50, 0.5–1.0 and >1.00 mm) as the criterion. Mechanical sieving as well as image analysis showed that S. chrysotrichum cultures developed in shake flasks present a similar tendency to increase in aggregate size as growth persists. However, there are considerable differences in the values of each fraction. Fractions obtained by mechanical sieving were characterized by image analysis demonstrating that an inefficient separation of the cell population exists. The results demonstrate that digital image analysis was more precise than mechanical sieving to describe the cell size distribution changes occurring during cell growth. It was also possible to achieve a total characterization of S. chrysotrichum morphology.     

Studies on Image Automated Analysis and Recognition of Plant Chromosome

A plant chromosome image analysis CHROM. HUK software system has been developed in the light of the theory of image analysis and recognition and applied in karyotype automated analysis of Xizang wild barley (Hordeum agriocrithon Aberg var. nigrum) and Cupressus gigantea Cheng et L. K. Fu. The main features of automated analysis include the pre-processing of chromosome image, determinating peak-valley threshold of chromosome, separation of overlapping chromosome, evaluation of centre line of chromosome,limit erotion recognition of position of centromere and second constric, extraction of characterictic parameters of chromosome and karyotype analysis. The vast amount of data obtained could be stored, operated and used for further statistical analysis. According to the estimation in the 95% confidence interval and the tree type sort, the chromosome were paired and sorted. In the meantime, a karyogram and an idiogram of karyotype were generated automatically through computerization.     

Performance evaluation of a machine vision system for insect pests identification of field crops using artificial neural networks

Feature extraction is a crucial part of advanced image recognition systems. In this research, an autonomous detection device was designed and developed for insect pest detection to improve the ability of intelligent systems in order to annihilate harmful insect pests in agricultural crop fields. Device included a dark chamber, a CCD digital camera, a LDR lightening module and a personal computer. The proposed programme for precise insect pest detection was based on an image processing algorithm and artificial neural networks (ANNs). After image acquisition, the insect pests’ images were extracted from original images with Canny filtration. Afterwards, four morphological and three textural features from the obtained images were measured and normalised. Performance of ANN model was tested successfully for Beet armyworm (Spodoptera exigua) recognition in images using back-propagation supervised learning method and inspection data. Results showed that proposed system was able to identify S. exigua in the images from other species. Such this machine vision system can be used in autonomous field robots to achieve a modern farmer’s assistant.     

The scanning probe microscope as a novel genomic analysis tool

We have developed a novel and efficient genomic analysis tool that combines scanning probe microscopy (SPM) and image processing with molecular biology techniques to accelerate genomic research. To examine the correlation between chromosome volume and DNA content, we scanned human metaphase chromosome sets with an atomic force microscope to examine the chromosome volume distribution. We found that the chromosome volume distribution agreed with DNA length distribution (obtained from a public database), and that the short arm to long arm volume ratio showed good agreement with the genomic position of the centromere. We were also able to predict the genomic position of an arbitrary gene marker with high accuracy by combining a scanning near-field optical/atomic force microscope and image processing techniques using fluorescence in situ hybridization. Thus, a novel SPM-based system developed here will be an effective tool to rapidly and accurately map DNA markers and construct physical map, which contributes to the advancement of genomic science.     

Modeling and simulation of luminescence detection platforms

Motivated by the design of an integrated CMOS-based detection platform, a simulation model for CCD and CMOS imager-based luminescence detection systems is developed. The model comprises four parts. The first portion models the process of photon flux generation from luminescence probes using ATP-based and luciferase label-based assay kinetics. An optics simulator is then used to compute the incident photon flux on the imaging plane for a given photon flux and system geometry. Subsequently, the output image is computed using a detailed imaging sensor model that accounts for photodetector spectral response, dark current, conversion gain, and various noise sources. Finally, signal processing algorithms are applied to the image to enhance detection reliability and hence increase the overall system throughput. To validate the model, simulation results are compared to experimental results obtained from a CCD-based system that was built to emulate the integrated CMOS-based platform.     

Combined one- and two-dimensional ultrasound system for monitoring fetal breathing movements.

A combined one- and two-dimensional ultrasonic system for monitoring respiratory movements in the human fetus has been developed. A real-time cross-sectional image of the fetal chest at the level of the fetal heart can be obtained, and a time motion recording of fetal respiratory movements can then be written on a strip-chart recorder. Combining the features of one-dimensional and two-dimensional systems produces an accurate means of investigating fetal breathing movements.     

A quantitative method for the analysis of cell shape and locomotion

A rapid, semiautomated system to quantitate and analyze leukocyte shape and locomotion was developed. Video images of moving leukocytes were obtained using a Vidicon camera mounted on a Nikon phase microscope. The video signal was either inputted directly, or indirectly via a video cassette recorder, to a Datacube video analog-digital, digital-analog converter. A Digital Equipment Corporation LSI 11/23 computer using the RT-11/TSX-Plus operating system and computer programs written in FORTRAN and MARCO assembly language permitted image segmentation, image display, and calculation of position, speed, direction of movement and orientation of each leukocyte at 10 s intervals. These data were stored on a winchester disk for subsequent evaluation of the leukocyte orientation, speed and direction of movement using statistical and graphical methods. The reproducibility of measurements made with the video system was tested by comparison with manual measurements; a correlation coefficient of 0.998 was obtained for the two methods. Rates of chemokinesis were then determined for unstimulated and chemokinetically stimulated polymorphonuclear leukocytes (PMNs) and found to average 12.8 micron/min and 18.1 micron/min, respectively. The high speed, ease of data analysis, and potential for multiparameter evaluation makes this system useful for directly evaluating leukocyte locomotion.     

Microfocal X-ray CT imaging and pulmonary arterial distensibility in excised rat lungs

The objective of this study was to develop an X-ray computed tomographic method for measuring pulmonary arterial dimensions and locations within the intact rat lung. Lungs were removed from rats and their pulmonary arterial trees were filled with perfluorooctyl bromide to enhance X-ray absorbance. The lungs were rotated within the cone of the X-ray beam projected from a microfocal X-ray source onto an image intensifier, and 360 images were obtained at 1 degrees increments. The three-dimensional image volumes were reconstructed with isotropic resolution using a cone beam reconstruction algorithm. The vessel diameters were obtained by fitting a functional form to the image of the vessel circular cross section. The functional form was chosen to take into account the point spread function of the image acquisition and reconstruction system. The diameter measurements obtained over a range of vascular pressures were used to characterize the distensibility of the rat pulmonary arteries. The distensibility coefficient alpha [defined by D(P) = D(0)(1 + alphaP), where D(P) is the diameter at intravascular pressure (P)] was approximately 2.8% mmHg and independent of vessel diameter in the diameter range (about 100 to 2,000 mm) studied.     

RHIZOSCAN: A semiautomatic image processing system for characterization of the morphology and secondary metabolite concentration in hairy root cultures

We describe the application of the newly developed RHIZOSCAN software for accurate morphological analysis and determination of overall and local secondary metabolite concentrations in two clones of Beta vulgaris throughout the growth period. Local secondary metabolite concentrations may be determined at any point in the root, and pigment gradients in each lateral root can be followed during culture and saved to the computer. Throughout the entire analysis process, an image appears in a graphical result window on the screen, which enables visual evaluation of the numerical output at each stage of the analysis. Biosynthetic data on concentrations obtained by image analysis were validated by spectrophotometric analysis. The importance of determining appropriate scanning and analysis conditions (scanning resolution, background color, threshold value, segmentation plane in the hue-saturation-intensity color system and pruning length) for obtaining accurate morphological measurements is examined and the means of fixing these parameters is described. Our results show that, using RHIZOSCAN, detailed and accurate information on root architecture and secondary metabolite concentrations can be obtained in a short time.     

Development of multicolour digital image analysis system to enumerate actively respiring bacteria in natural river water

AIMS: To develop a rapid and simple method for the assessment of metabolic activity of bacteria in natural environment. METHODS AND RESULTS: A rapid and simple multicolour digital image analysis system for enumerating viable bacteria based on active fluorescent staining has been developed. This system can accurately differentiate actively respiring bacteria and non-respiring bacteria by distinctive colour information in the digital image captured by an epifluorescence microscope equipped with low magnification objective lens. An algorithm to distinguish bacteria from considerable detritus, which produced bright fluorescence in different colours, by colour segmentation has also been developed. This system was applied to river water samples, and the total and respiratory active bacterial counts by digital image analysis were highly related to those by epifluorescence microscopy (r2 = 0.96 and 0.93, respectively). CONCLUSION: This system allowed the rapid and simple differentiation of bacteria from detritus and concurrent assessment of their metabolic activity, with results being available within 1 h. SIGNIFICANCE AND IMPACT OF THE STUDY: The low magnification image analysis allows more rapid and simple quantification of bacteria and could considerably decrease image data amount and acquisition time. This system could be easily applied to the rapid analysis of microbes in various environments.     

An improved method for the automated enumeration of fluorescently labelled bacteria in human faeces

The study aimed to improve microscopy-based automated recognition of faecal bacterial cells labelled with 16S rRNA-targeted oligonucleotides and 4',6-diamidino-2-phenylindole (DAPI). Based on the software KS400 (Carl Zeiss Vision, Hallbergmoos, Germany), designed for automising microscopy-based image capture and image analysis, a routine was developed that affords the recognition of doubly stained bacteria and the rejection of artefacts. The accuracy of the automated enumeration was investigated by comparing the resulting data with those obtained by manual counting. The newly developed method was subsequently used to compare the total bacterial counts in human faecal samples using the domain specific probe Eub338 alone and a mixture of 5 domain-specific probes, respectively. Faecal samples from 90 healthy volunteers were analysed. The cell counts obtained with Eub338 were 10% lower than those obtained with the probe mixture. Since the cells detected with the probe mixture covered a wide range of signal intensities, a dynamic analysis routine was developed to effectively detect the whole range of bright to weak signals within the same image, while at the same time reliably rejecting artefacts.     

Two- and three-dimensional image reconstructions from stained and autoradiographed histological sections

A complete system has been developed to utilize histologicalserial sections for two- and three-dimensional image reconstructions.Eighty to 120 sections are digitized using a personal computingsystem augmented with a imaging board and CCD camera. The imagefiles are transmitted to a VAX computer for processing and imagereconstruction, and the processed images are transmitted backto the personal computer for display and recording using a filmrecorder or PostScript printer. The software developed for thesystem allows serial sections to be placed into proper registrationin a 256³ array, 256 grey levels. Autoradiographs of the sectionsare obtained in the presence of appropriate standards whichare used to recalibrate grey levels to represent linearly theradioactivity of each pixel in the sections and scale the valuesto allow maximum use of the grey scale. Starting from coronallysectioned material the system has been used to analyse and reconstructrat nasal turbinates. In two dimensions horizontal and sagittalsections have been obtained while in three dimensions back-to-frontand surface-rendered images have been constructed. Useful renderingof differential metabolic activity within an organ of complexgeometry has been obtained, and there appears to be no reasonwhy the system cannot be used for any material for which serialsectioning is appropriate. Received on November 29, 1989; accepted on February 28, 1990     

Multicolour digital image analysis system for identification of bacteria and concurrent assessment of their respiratory activity

AIMS: To develop a rapid and simple multicolour digital image analysis system for simultaneous identification of bacteria and assessment of their metabolic activity. METHODS AND RESULTS: We developed an image analyser capable of distinguishing triple-stained bacterial cells. Bacteria were stained with a nucleic acid stain, a fluorescent antibody and a fluorescent metabolic indicator for enumeration, species identification and assessment of metabolic activity. This multicolour image analyser was used to simultaneously identify Escherichia coli O157:H7 in milk samples and assess their respiratory activity. The images of the triple-stained bacteria were captured using a combination of blue light and u.v. excitation and an epifluorescence microscope and were processed by our image analyser. We found a good correlation between the counts of actively respiring (r = 0.93) and total (r = 0.94) E. coli O157:H7 measured by digital image analysis and visual observation. CONCLUSION: The multicolour digital image analysis system described here was able to quantify active pathogenic micro-organisms within 2 h. SIGNIFICANCE AND IMPACT OF THE STUDY: This multicolour image analysis allows the rapid and simultaneous quantification of bacteria, identification of species and assessment of metabolic activity.     

A rapid, semi-automated method for scoring micronuclei in mononucleated mouse lymphoma cells

A semi-automated scoring system has been developed to provide rapid, accurate assessment of micronuclei in preparations of mononuclear mouse lymphoma L5178Y cells. Following exposure to a range of test agents, flat, single-cell preparations were produced from exponentially growing cultures by cytocentrifugation. Following staining with 4'-6-diamidino-2-phenylindole (DAPI), cells were scanned by use of the MicroNuc module of Metafer 4 v 3.4.102, after modifying the classifier developed for selecting micronuclei in binucleate cells to increase its sensitivity. The image gallery of all cells was then sorted to bring aberrant cells to the top of the gallery to assess visually the numbers of cells with micronuclei, as distinct from other debris. Slide quality was shown to be paramount in obtaining accurate results from an automated scan and the data obtained compared very well with the incidence of micronuclei scored conventionally by microscopy. Compared with manual scoring the time saving is considerable, as more than 2000 images are captured in approximately 2min, with subsequent visual assessment of aberrant cells in the image gallery taking about 1-2min/slide. By scanning all aberrant cells, the system also captures additional information on necrotic, apoptotic and fragmented cells. Although optimised for mouse lymphoma cells, it should be simple to adapt the method for any cell type growing in suspension.     

Imaging of immobilized enzyme spots by scanning chemiluminescence microscopy with electrophoretic injection

Scanning chemiluminescence microscopy (SCLM) with electrophoretic injection was developed and applied to visualize enzyme reactions localized in an enzyme microspot. The SCLM uses a tapered glass capillary as a probe for injecting a small amount of luminol onto the substrate to generate localized chemiluminescence. The electrophoretic injection by application of a constant current between the inside and outside of the capillary enabled the continuous and controllable injection of a minute quantity of luminol in the range of 0.1 pmol/s. The image of enzyme activity in a monolayer spot of horseradish peroxidase was obtained by using the electrophoretic injection-based SCLM system.     

HyphArea—Automated analysis of spatiotemporal fungal patterns

In phytopathology quantitative measurements are rarely used to assess crop plant disease symptoms. Instead, a qualitative valuation by eye is often the method of choice. In order to close the gap between subjective human inspection and objective quantitative results, the development of an automated analysis system that is capable of recognizing and characterizing the growth patterns of fungal hyphae in micrograph images was developed. This system should enable the efficient screening of different host-pathogen combinations (e.g., barley—Blumeria graminis, barley—Rhynchosporium secalis) using different microscopy technologies (e.g., bright field, fluorescence). An image segmentation algorithm was developed for gray-scale image data that achieved good results with several microscope imaging protocols. Furthermore, adaptability towards different host-pathogen systems was obtained by using a classification that is based on a genetic algorithm. The developed software system was named HyphArea, since the quantification of the area covered by a hyphal colony is the basic task and prerequisite for all further morphological and statistical analyses in this context. By means of a typical use case the utilization and basic properties of HyphArea could be demonstrated. It was possible to detect statistically significant differences between the growth of an R. secalis wild-type strain and a virulence mutant.