• 제목/요약/키워드: fish detection

검색결과 389건 처리시간 0.025초

Bacillus 속 세균을 검출하기 위한 Fluorescent In Situ Hybridization 방법의 개발 (Development of FISH Methods for Detection of Genus Bacillus)

  • 홍선희;김옥선;송홍규;이동훈;안태석
    • 미생물학회지
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    • 제37권3호
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    • pp.204-208
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    • 2001
  • Bacillus속에 속하는 세균을 FISH 방법으로 검출하기 위한 새로운 방법을 개발하였다. LGC353b, S-G-Bacill-0597-a-A-22와 S-G-Bacill-0597-a-S-22 등 3개의 probe를 22종의 Bacillus속 세균의 혼합배양액에 적용한 결과 S-G-Bacill-0597-a-A-22의 probe가 DAPI로 검출된 세균 중 95%가 FISH로도 측정되어 가장 효율이 좋은 것으로 나타났다. Hybrillization 과정 전에 Bacillus의 영양세포와 포자의 세포벽을 파괴하기 위하여 SDS/DTT (dithiothreitol)와 lysozyme를 순차적으로 전처리하는 방법과 lysozyme용액으로만 전처리 하는 두 가지 방법을 사용하였다. 그 결과, Bacillus를 검출하기 위해서는 영양세포의 경우에는 lysozyme용액으로만 전처리 하는 방법이 가장 좋았으며, 포자는 FISH로 검출되지 않았다. 따라서 토양, 하수 처리장등의 생태계에서 Bacillus를 검출할 경우에는 영양세포는 lysozyme으로 전처리 하여 FISH로 검출하고 포자는 따로 포자염색으로 검출하는 두가지 방법을 병행하여야한다.

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수동형 전자발신장치(Passive Integrated Transponder, PIT) 모니터링 기법 적용에 따른 어종별 생존율 평가 및 어도에서 어류이동성 평가 (The Evaluations of Fish Survival Rate and Fish Movements using the Tagging Monitoring Approach of Passive Integrated Transponders (PIT))

  • 최지웅;안광국
    • 한국환경과학회지
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    • 제23권8호
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    • pp.1495-1505
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    • 2014
  • The objective of this study was to evaluate survival rate and fish movement (migration) using a tagging approach of passive integrated transponder (PIT) in Juksan Weir, which was constructed as a four major river restoration projects. For this study, survival rates of each fish species and the mobility of fish individuals were analyzed during 2 weeks by the insertion of PIT tags to various fish species in the laboratory. According to tagging tests in the laboratory, the survival rate 37.5% (30 survivals of 80 individuals) after the insertion of PIT tags. The survival rate of Carassius auratus and Hemibarbus labeo was 100% and 80% after the insertion of the tags, respectively, whereas it was only 13.3% for Zacco platypus. In the field experiments of Juksan Weir, 6 species and 157 individuals from 8 species (563 individuals) were detected in the fixed automatic data-logging system, indicating a detection rate of 27.9% in the fishway of Juksan Weir. In the meantime, some species with no or low detection rates in the fixed automatic data-logging system were turn out to be stagnant-type species, which prefer stagnant or standing water to live.

Rapid Determination of Chlorostyrenes in Fish by Freezing-Lipid Filtration, Solid-Phase Extraction and Gas Chromatography-Mass Spectrometry

  • Kim, Min-Sun;Park, Kwang-Sik;Pyo, Hee-Soo;Hong, Jong-Ki
    • Bulletin of the Korean Chemical Society
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    • 제29권2호
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    • pp.352-356
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    • 2008
  • An analytical method has been developed for measuring chlorostyrenes in fish tissue sample. Extraction of chlorostyrenes from fish tissue was carried out by ultrasonication using acetone/n-hexane (5:2, v/v) mixture. Most of the lipids in the extract were eliminated by freezing-lipid filtration, prior to solid-phase extraction (SPE) cleanup. During freezing-lipid filtration, about 90% of the lipids extracted from the fish samples were easily removed without any significant losses of chlorostyrenes. For purification, SPE using Florisil was used for the rapid and effective cleanup. Quantification was performed using gas chromatography-mass spectrometry in the selected ion monitoring mode. Spiking experiments were carried out to determine the recovery, precision, and limits of detection (LODs) of the method. The overall recovery was above 80% in the spiked fish tissue sample at 10 and 100 ng/g levels, respectively. The detection limits for chlorostyrenes were ranged from 0.05 to 0.1 ng/g. This developed method is demonstrated to give efficient recoveries and LODs for detecting chlorostyrenes spiked into fish tissue with high lipid content.

Alarm substance Detection and Fright Reaction in Giant Danio (Danio malabaricus)

  • Sung Hwaon Cho
    • 한국양식학회지
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    • 제12권1호
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    • pp.63-69
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    • 1999
  • A series of experiments were conducted to examine on what stimulus giant danio (Danio malabaricus) were mainly responsible for detecting alarm substance. When 0.15 ml alarm substance (10 ppm) was introduced into the tank, fish showed no notable change in swimming pattern. However, the introduction of 1.5 ml alarm substance (100 ppm) could induce fright reaction about in 6 minutes. Further, when 15 ml alarm substance (1,000 ppm) was introduced into the tank, fish showed the following fright reaction in a few seconds; suppressing to feed diet, no swimming, strong chasing, and visual alertness. In detecting alarm substance, fish were mainly depending on the chemical stimulus (nares) rather than the vision stimulus (eyes) because fish detected alarm substance by the chemical cue showed the significantly stronger fright reaction than by the visual cue. The time for fish to show the initial fright reaction after detecting alarm substance by the chemical cue was shorter than by the visual cue. Also after alarm substance was introduced into the tank, olfaction-deprived fish showed significantly weaker fright reaction and less frequency of chasing than the normal fish which detected alarm substance by both olfaction and gustation stimulus. These results indicated that chemical stimulus, especially olfaction might be the primary sensory modality used in the detection of the alarm substance for giant danio.

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중합효소연쇄반응법(Polymerase Chain Reaction, PCR)에 의한 남해안 양식산 어류로부터 Birnavirus의 검출 (Detection of Birnavirus from Cultured Marine Fish Using Polymerase Chain Reaction (PCR))

  • 오명주;정성주;김영진
    • 한국어병학회지
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    • 제12권1호
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    • pp.49-55
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    • 1999
  • 복부팽만, 안구돌출 및 체색혹화의 외부증상을 대표적으로 나타내며, 세균 및 기생충과 같은 병원체 감염의 원인이 아닌 버나바이러스성으로 판단되어지는 남해안 양식산 넙치, 조피볼락, 농어를 대상으로 RT-PCR 법에 의한 체내 감염 바이러스 검출을 행하였다. IPNV 및 MBV만을 선택적으로 확인 검출 할 수 있으며 감염어체를 사용한 검출에서 배양 세포법(12/50)에 비하여 높은 검출 감도(46/50)를 나타내는 RT-PCR 진단법을 도입하였다. 아울러 우리나라 남해안 양식장에 버나바이러스의 감염이 폭넓게 진행되고 있음을 확인할 수 있었다.

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Incorporating Recognition in Catfish Counting Algorithm Using Artificial Neural Network and Geometry

  • Aliyu, Ibrahim;Gana, Kolo Jonathan;Musa, Aibinu Abiodun;Adegboye, Mutiu Adesina;Lim, Chang Gyoon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권12호
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    • pp.4866-4888
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    • 2020
  • One major and time-consuming task in fish production is obtaining an accurate estimate of the number of fish produced. In most Nigerian farms, fish counting is performed manually. Digital image processing (DIP) is an inexpensive solution, but its accuracy is affected by noise, overlapping fish, and interfering objects. This study developed a catfish recognition and counting algorithm that introduces detection before counting and consists of six steps: image acquisition, pre-processing, segmentation, feature extraction, recognition, and counting. Images were acquired and pre-processed. The segmentation was performed by applying three methods: image binarization using Otsu thresholding, morphological operations using fill hole, dilation, and opening operations, and boundary segmentation using edge detection. The boundary features were extracted using a chain code algorithm and Fourier descriptors (CH-FD), which were used to train an artificial neural network (ANN) to perform the recognition. The new counting approach, based on the geometry of the fish, was applied to determine the number of fish and was found to be suitable for counting fish of any size and handling overlap. The accuracies of the segmentation algorithm, boundary pixel and Fourier descriptors (BD-FD), and the proposed CH-FD method were 90.34%, 96.6%, and 100% respectively. The proposed counting algorithm demonstrated 100% accuracy.

CNN 기반의 물고기 탐지 알고리즘 구현 (Implementation of Fish Detection Based on Convolutional Neural Networks)

  • 이용환;김흥준
    • 반도체디스플레이기술학회지
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    • 제19권3호
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    • pp.124-129
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    • 2020
  • Autonomous underwater vehicle makes attracts to many researchers. This paper proposes a convolutional neural network (CNN) based fish detection method. Since there are not enough data sets in the process of training, overfitting problem can be occurred in deep learning. To solve the problem, we apply the dropout algorithm to simplify the model. Experimental result showed that the implemented method is promising, and the effectiveness of identification by dropout approach is highly enhanced.

어패류의 비브리오패혈증 균 오염과 그 대책 (Contamination of Shellfish with Vibrio vulnificus the Present Situation and Countermeasures)

  • 김영만
    • 한국식품위생안전성학회지
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    • 제8권2호
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    • pp.13-21
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    • 1993
  • Vibrio septicemia,, resulting in high mortality, has been caused by Vibrio vulnificus. Ingestion of marine products or contact with sea water contaminated with Vibrio vulnificus can cause septicemia. Vibrio vulnificus has been detected world wide and west sea area of Korea, Kum river estuary in particular, showed high detection rate. Higher detection rate of Vibrio vulnificus were reported in the bottom deposit with low depth of water, low salinity, and high COD. Man with the liver disease can easily come down with Vibrio septicemia and the main source is the sliced raw fish dish. The preventive measure for this disease is to wash raw fish material thoroughly with tap water and handle in sanitary conditions. Washing with sea water is strictly prohibited . It may be necessary to forbid the small-scale businessmen from selling the sliced ray fish dish in the vicinity of seashore. Man with the liver disease of diabetes should not swim or consume the raw fish dish in the contaminated area during summer.

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심층신경망을 이용한 스마트 양식장용 어류 크기 자동 측정 시스템 (Automatic Fish Size Measurement System for Smart Fish Farm Using a Deep Neural Network)

  • 이윤호;전주현;주문갑
    • 대한임베디드공학회논문지
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    • 제17권3호
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    • pp.177-183
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    • 2022
  • To measure the size and weight of the fish, we developed an automatic fish size measurement system using a deep neural network, where the YOLO (You Only Look Once)v3 model was used. To detect fish, an IP camera with infrared function was installed over the fish pool to acquire image data and used as input data for the deep neural network. Using the bounding box information generated as a result of detecting the fish and the structure for which the actual length is known, the size of the fish can be obtained. A GUI (Graphical User Interface) program was implemented using LabVIEW and RTSP (Real-Time Streaming protocol). The automatic fish size measurement system shows the results and stores them in a database for future work.

MSPD와 HPLC를 이용한 어류의 잔류 설파제와 테트라사이클린계 항생물질의 동시분석 (Simultaneous Quantification of Sulfonamide and Tetracyclines in Fish Muscle Tissue by Matrix Solid Phase Dispersion (MSPD) Extraction and HPLC)

  • 하대식;김종수;김곤섭
    • 한국식품위생안전성학회지
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    • 제12권2호
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    • pp.117-124
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    • 1997
  • A simple, rapid and simultaneous analytical method is described for the detection of Sulfonamide and Tetracycline residues, i.e., Sulfamerazine (SMR), Sulfamethazine (SMT), Sulfamonomethoxine (SMM), Sulfadimethoxine (SDM), Sulfaquinoxaline (SQN), Oxytetracycline (OXY), Tetracycline (TC), Chlortetracycline (CTC). Blank control and sulfonamide and tetracycline fortified fish muscle samples (0.5 f) were blended with octadecylsilyl (C18, 40 ${\mu}{\textrm}{m}$, 21% load, 60$\AA$) derivatized silica packing material (2 g). Blended fish samples were washed with hexane, then, benzene and dichloromethace were used for the elution of tetracycline and sulfonamide were analyzed by HPLC. Correlation coefficients of standard curves for individual sulfonamide and tetracycline isolated from fortified samples were linear (0.9993$\pm$0.0003~0.9997$\pm$0.0003, 0.9493$\pm$0.078~0.9753$\pm$0.036), respectively. The average percentage recoveries of sulfonamide and tetracycline ranged as 80.86~96.52% to 85.88~92.23%, and 30.01~37.12% to 65.89~73.40%, for the concentration range (0.1~1.0 ppm) examined, respectively. Limit of detection for sulfonamide was 0.0012 ppm for SMR in Paralichthys Olivacleus and 0.0020 ppm for SMR, 0.015 ppm for SMM in Cyprinus Carpio. The applicability of this procedure is demonstrated by separation and detection of incurred tetracycline and sulfonamide residues in fish muscle tissue.

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