• Title/Summary/Keyword: Spot Detection

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DETECTION OF BLACK-PIGMENTED BACTERIA IN INFECTED ROOT CANALS (감염근관에서 Black-Pigmented Bacteria의 동정에 대한 연구)

  • Kwon, Eun-Kyoung;Kim, Eun-Sook;Kwak, Ju-Seog;Lee, Hwang;Lee, Su-Jong;Im, Mi-Kyung
    • Restorative Dentistry and Endodontics
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    • v.27 no.1
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    • pp.54-65
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    • 2002
  • Black-pigmented bacteria have been implicated in the endodontic infections. This group of microorganisms includes Porphyromonas endodontalis, Porphyromonas gingivalis, Prevotella intermedia, and Prevotella nigrescens. The organisms display a wide variety of virulence factors that may be pertinent to acute endodontic infections. The aim of this study was to identify P. endodontalis, P. gingivalis, P. intermedia, and P. nigrescens by using special potency disk test, filter paper spot test, 165 rRNA gene-directed PCR, and API 32A. Microbial samples were collected from root canals of 33 intact teeth with necrotic pulp and/or apical periodontitis. Conventional laboratory methods were used for identification of the strains of black pigmented bacteria. Eighteen of 33 samples were positive for the growth of black-pigmented bacteria Five colonies were cultured from each pure cultured colonies from Brucella agar plate. Seventy seven colonies were positive for the growth of black-pigmented bacteria. Thirty three of 77(42.6%) were identifed as P. nigrescens, 10 of 77(12.9%)were P. gingivalis, 6 of 77(7.8%) were P. endodontalis, 10 of 77(12.9%) were P. intermedia. On the contrary the reference strains of P. nigrescens, experimental strains of P nigrescens was sensitive to kanamycin in special potency disk test. 165 rRNA gene PCR and API test after rapid presumptative identification methods, such as special potency disk test and filter paper spot test, would be accurate detection methods for black-pigemented bacteria.

Adaptive thresholding for eliminating noises in 2-DE image (2차원 전기영동 영상에서 잡영을 제거하기 위한 적응적인 문턱값 결정)

  • Choi, Kwan-Deok;Kim, Mi-Ae;Yoon, Young-Woo
    • Journal of the Institute of Convergence Signal Processing
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    • v.9 no.1
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    • pp.1-9
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    • 2008
  • One of the problems for implementing the spot detection phase in the 2-DE gel image analysis program is the eliminating noises in the image. Remained noises after the preprocessing phase cause the over-segmented regions by the segmentation phase. To identify and exclude the over-segmented background regions, if we use the fixed thresholding method that is choosing an intensity value for the threshold, the spots that is invisible by the eyes but mean a very small amount proteins which have important role in the biological samples could be eliminated. This paper propose an adaptive thresholding method that come from an idea that is got on statistical analysing for the prominences of the peaks. The adaptive thresholding method works as following. Firstly we calculate an average prominence value curve and fit it to exponential function curve, as a result we get parameters for the exponential function. And then we calculate a threshold value by using the parameters and probability distribution of errors. Lastly we apply the threshold value to the region for determining the region is a noise or not. According to the probability distribution of errors, the reliability is 99.85% and we show the correctness of the proposed method by representing experiment results.

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Cancer cluster detection using scan statistic (스캔 통계량을 이용한 암 클러스터 탐색)

  • Han, Junhee;Lee, Minjung
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.5
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    • pp.1193-1201
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    • 2016
  • In epidemiology or etiology, we are often interested in identifying areas of elevated risk, so called, hot spot or cluster. Many existing clustering methods only tend to a result if there exists any clustering pattern in study area. Recently, however, lots of newly introduced clustering methods can identify the location, size, and shape of clusters and test if the clusters are statistically significant as well. In this paper, one of most commonly used clustering methods, scan statistic, and its implementation SaTScan software, which is freely available, will be introduced. To exemplify the usage of SaTScan software, we used cancer data from the SEER program of National Cancer Institute of U.S.A.We aimed to help researchers and practitioners, who are interested in spatial cluster detection, using female lung cancer mortality data of the SEER program.

A New Analytical Method to Determine the Purity of Synthetic Fluorophores using Single Molecule Detection Technique

  • Song, Nam-Yoong;Kim, Hyong-Ha;Park, Tae-Sook;Yoon, Min-Joong
    • Journal of Photoscience
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    • v.12 no.2
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    • pp.87-93
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    • 2005
  • A new assay technique to distinguish between pure compounds and the isomeric mixtures has been suggested using single molecule (SM) fluorescence detection technique. Since the number of emission spots in a fluorophorespread film prepared from a genuine dye solution was determined by experimental condition, the deviation of spot numbers from the expected values could be considered to be an indication of lower purity of the sample solution. The lower limit of sample concentration for this assay was determined to be $5{\times}10^{-10}$ M to show uniform number of expected spots within 10% uncertainties in our experimental condition. An individual fluorescence intensity distribution for a mixture of isomers having doubly different emissivities was simulated by adding distributions obtained from Cy3 and nile red (NR) independently. The result indicated that the mixture could be identified from the pure compounds through the difference in the number of Gaussian functions to fit the distribution. This new assay technique can be applied to the purity test for synthetic biofluorophores which are usually prepared in small quantities not enough for classical ensemble assays.

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RT-PCR Detection of Five Quarantine Plant RNA Viruses Belonging to Potyand Tospoviruses

  • Lee, Jong-Seung;Cho, Won-Kyong;Choi, Hong-Soo;Kim, Kook-Hyung
    • The Plant Pathology Journal
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    • v.27 no.3
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    • pp.291-296
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    • 2011
  • In order to detect quarantine plant viruses, we developed reverse transcription-polymerase chain reaction (RT-PCR) primer pairs for five single-stranded (ss) plant RNA viruses that are not currently reported in Korea but could be potential harmful plant viral pathogens. Three viruses such as Chilli veinal mottle virus (ChiVMV), Colombian datura virus (CDV), and Tobacco etch virus (TEV) belong to the genus Potyvirus while Chrysanthemum stem necrosis virus (CSNV) and Iris yellow spot virus (IYSV) are members of the genus Tospovirus. To design RT-PCR primers, we used reported gene sequences corresponding to the capsid protein and polyprotein for ChiVMV, CDV, and TEV while using nucleocapsid protein regions for CSNV and IYSV. At least two different primer pairs were designed for each virus. Fifteen out of 16 primer pairs were successfully applied in detection of individual quarantine virus with high specificity and efficiency. Taken together, this study provides a rapid and useful protocol for detection of five quarantine viruses.

Detection of Sequence-Specific Gene by Multi-Channel Electrochemical DNA Chips

  • Zhang, Xuzhi;Ji, Xinming;Cui, Zhengguo;Yang, Bing;Huang, Jie
    • Bulletin of the Korean Chemical Society
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    • v.33 no.1
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    • pp.69-75
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    • 2012
  • Five-channel electrochemical chips were fabricated based on the Micro-electromechanical System (MEMS) technology and were used as platforms to develop DNA arrays. Different kinds of thiolated DNA strands, whose sequences were related to white spot syndrome virus (WSSV) gene, were separately immobilized onto different working electrodes to fabricate a combinatorial biosensor system. As a result, different kinds of target DNA could be analyzed on one chip via a simultaneous recognition process using potassium ferricyanide as an indicator. To perform quantitative target DNA detection, a limit of 70 nM (S/N=3) was found in the presence of 600 nM coexisting noncomplementary ssDNA. The real samples of loop-mediated isothermal amplification (LAMP) products were detected by the proposed method with satisfactory result, suggesting that the multichannel chips had the potential for a high effective microdevice to recognize specific gene sequence for pointof-care applications.

Feature Point Extraction of Sea Cucumbers using Canny Edge Detection (캐니 에지 검출을 이용한 해삼의 특징점 추출)

  • Lee, Keon-Ik;Woo, Young-Bae;Min, Jun-Sik;Choi, Chul-Jae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.6
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    • pp.1281-1286
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    • 2018
  • The sea cucumber, which is distributed over 1,500 species worldwide, is a highly value-added variety that has been considered an important source of marine resources in many countries for a long period of time. Most of the research on sea cucumbers involves the effectiveness of food and its extractions; however, there was no research on the extraction of sea cucumbers. In response, this research suggested a boundary detection algorithm to extract the special spot of sea cucumbers Therefore, in order to capture a large quantity of high value-added in sea cucumbers and we believe that they will be a great help to the sea cucumber recognition program in the future.

The Suspended Sediment Change Detection of Imha Dam Using Multi-Temporal Satellite Data (다중시기 위성영상을 이용한 임하댐 부유사 변화탐지)

  • Jeong, Jong-Chul
    • Spatial Information Research
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    • v.15 no.1
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    • pp.25-33
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    • 2007
  • The purpose of this study is to assess spatio-temporal variation of Imha Dam water quality according to suspended sediment algorithm using Landsat and SPOT 5 data. In order to learn synchronous suspended sediment concentrations(SSC) in Imha Dam waters, the satellite remote sensing data are analyzed. The key procedure of this research is that we should know the relationships between suspended sediment concentrations and satellite-detected reflectance. However, the SSC algorithm has the limitation that it must be compared calculated SSC with synchronous ground-truth data in the Dam water. Based upon the linear response from satellite-detected reflectance, SSC algorithm validated an efficient algorithm to estimate proportional factor and then derived an empirical equation far SSC estimations.

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Automated Edge-based Seamline Extraction for Mosaicking of High-resolution Satellite Images (고해상도 위성영상 모자이킹을 위한 경계선 기반의 접합선 자동 추출)

  • Jin, Kyeong-Hyeok;Song, Yeong-Sun
    • Journal of Korean Society for Geospatial Information Science
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    • v.17 no.1
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    • pp.61-69
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    • 2009
  • By the advent of the high resolution satellite imagery, a ground-coverage included by a single satellite image is decreased. By the reason, there are increasing needs in image mosaicking technology to use images to various GIS fields. This paper describes an edge-based seamline extraction algorithm using edge information such as rivers, roads, buildings for image mosaicking. For this, we developed a method to track and link discontinuous edges extracted by edge detection operator. To estimate the effectiveness of the proposed algorithm, we applied the algorithm to IKONOS, KOMPSAT-1 and SPOT-5 satellite images. The experimental results showed that the algorithm successfully dealts with discontinuities caused by geometric differences in two images.

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Low-Cost Hologram Module for Optical Pickup by Adjusting Photodiode Package (포토 다이오드 조정방식을 이용한 광 픽업용 저가 홀로그램 모듈)

  • Jeong, Ho-Seop;Kyong, Chon-Su
    • Korean Journal of Optics and Photonics
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    • v.16 no.4
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    • pp.345-353
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    • 2005
  • We proposed a new and cost-effective method fer assembling holographic pickup modules without any high resolution vision system. Assembling was accomplished by adjusting photodiode package only, leading to a low cost, holographic pickup module. Focus and tracking error signals were simply determined by comparing spot sizes and by using the 3 beam method, respectively, based on four-sectional holographic optical elements. In experiment, we assembled a hologram module and estimated performance of the proposed method fur a holographic pickup module used in compact disc system.