• Title/Summary/Keyword: rapid imaging

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PREPARATION OF N-(3-BROMO-2,4,6-TRIMETHYLACETANILIDE)IMINODIACETIC ACID AND ITS ${99M}^TC$-COMPLEX FOR HEPATOBILIARY IMAGING

  • CHOI OK-JA;HONG YOUNG-DON;GWON HUI-JEONG;CHOI SANG-MU;CHOI SUN-JU
    • Nuclear Engineering and Technology
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    • v.37 no.4
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    • pp.391-394
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    • 2005
  • N-(3-bromo-2,4,6-trimethylacetanilide)iminodiacetic acid (BrTIDA) was synthesized using nitrilotriacetic anhydride prepared in situ, and lyophilized vials were prepared which contained 20 mg of BrTIDA and 0.4 mg of $SnCl_2$. To evaluate the clinical efficacy of the in-house prepared lyophilized kit, a technetium-99m complex of BrTIDA was prepared; its in vivo pharmacokinetic behavior was evaluated via animal studies to assess the hepatocytic function and the functional status of the cystic duct and the gallbladder. Serial static image scans of rabbits and the biodistribution in mice injected with $^{99m}Tc-BrTIDA$ revealed that none of the tissues except for the hepatobiliary system showed radioactivity concentrations, and a rapid clearance from the organs was observed. In conclusion, a lyophilized kit and its prepared $^{99m}Tc-BrTIDA$ can be applied as a hepatobiliary imaging agent for the evaluation of the functional status of the hepatocytes and the patency of the biliary duct.

Comparison of Gold Biosensor Combined with Light Microscope Imaging System with ELISA for Detecting Salmonella in Chicken after Exposure to Simulated Chilling Condition

  • Mi-Kyung Park
    • Journal of Microbiology and Biotechnology
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    • v.33 no.2
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    • pp.228-234
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    • 2023
  • In this study, the performance of a gold biosensor combined with light microscope imaging system (GB-LMIS) was comparatively evaluated against enzyme-linked immunosorbent assay (ELISA) for detecting Salmonella under simulated chilling condition. The optimum concentration of antiSalmonella polyclonal antibodies (pAbs) was determined to be 12.5 and 100 ㎍/ml for ELISA and GBLMIS, respectively. GB-LMIS exhibited a sufficient and competitive specificity toward three tested Salmonella among only. To mimic a real-world situation, chicken was inoculated with Salmonella cocktail and stored under chilling condition for 48 h. The overall growth of Salmonella under chilling condition was significantly lower than that under non-exposure to the chilling condition (p < 0.05). No significant differences in bacterial growth were observed between brain heart infusion and brilliant green broth during the enrichment period (p > 0.05). Finally, both GB-LMIS and ELISA were employed to detect Salmonella at every 2-h interval. GB-LMIS detected Salmonella with a competitive specificity by the direct observation of bacteria on the sensor using a charge-coupled device camera within a detection time of ~2.5 h. GB-LMIS is a feasible, novel, and rapid method for detecting Salmonella in poultry facilities.

Evaluating optimal preprocessing method for separation of microalgae colonies into single cells for image quality (미세조류 이미지 품질 성능 향상을 위한 최적 전처리방법 선정 연구)

  • Sang Yeob Kim;Sung Kyu Maeng
    • Journal of Korean Society of Water and Wastewater
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    • v.38 no.2
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    • pp.109-117
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    • 2024
  • In this study, various pre-treatment methods were evaluated for microalgae separation. These methods aimed to facilitate safe, rapid, and cost-effective online imaging for real-time observation and cell counting. As pre-treatment techniques, heating, chemical hydrolysis, heating combined with chemical hydrolysis, and sonication were employed. The effectiveness of these methods was evaluated in the context of online imaging quality through experimentation on cultivated microalgae (Chlorella vulgaris and Scenedesmus quadricauda). The chemical treatment method was found to be inappropriate for improving image acquisition. The heating pre-treatment method exhibited a drawback of prolonged cell dispersion time. Additionally, the heating combined with chemical hydrolysis method was confirmed to have the lowest dispersion effect for Chlorella vulgaris. Conversely, ultrasonication emerged as a promising technique for microalgae separation in terms of repeatability and reproducibility. This study suggests the potential for selecting optimal pre-treatment methods to effectively operate real-time online monitoring devices, paving the way for future research and applications in microalgae cultivation and imaging.

Small Bowel Obstruction Induced by Fecal Material in a Dog

  • Daji Noh;Hyun-Guk Shin;Sang-Kwon Lee;Kija Lee
    • Journal of Veterinary Clinics
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    • v.41 no.4
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    • pp.241-245
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    • 2024
  • A 12-year-old spayed female dog presented with vomiting and anorexia for four days. Radiographic examination revealed that the small intestines were distended with fecal material. Ultrasound examination showed irregular marginated material with moderate shadowing throughout several segments of the small intestines. Proximal to this intestinal material, small intestines were distended with fluid. The patient underwent one-day of hospitalization, and descent of small bowel fecal materials (SBFMs) was confirmed on radiographs. However, surgical removal was performed due to worsening clinical signs and echogenic changes in the mesentery observed on ultrasound. During surgery, intestinal congestion was observed along with congestion and edema in the surrounding mesentery. Two segments of the small intestines were resected, and feces were found within the resected segments. The patient showed rapid recovery postoperatively and experienced no recurrence. SBFM can induce mechanical intestinal obstruction, and if radiographic evidence of SBFM is observed in patients with vomiting, surgical resection would be considered.

Wallerian Degeneration of Insufficiently Affected White Matters in Old Infarction: Tract of Interest Analysis of Diffusion Tensor Imaging

  • Choi, Chi-Hoon;Lee, Jong-Min;Koo, Bang-Bon;Park, Jun-Sung;Kwon, Jun-Soo;Kim, Sun-I.
    • Journal of Biomedical Engineering Research
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    • v.28 no.3
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    • pp.317-324
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    • 2007
  • The application of diffusion tensor imaging (DTI) and fiber tractography to Wallerian degeneration (WD) is important because this technique is a very potent tools for quantitatively evaluating fiber tracts in vivo brain. We analyzed a case and control using tracts of interest (TOI) analysis to quantify WD. We scanned a case of old infarction and an age-matched healthy volunteer. T1 magnetization prepared rapid acquisition gradient echo (MPRAGE), fluid attenuated inversion recovery (FLAIR) and 12-direction diffusion tensor imaging (DTI) were obtained and analyzed using TOI analysis. The value of mean diffusity ($D_{av}$) and fracional anisotrophy (FA) were analyzed statistically by MWU test. A p-value of less than 0.05 was considered to indicate statistical significance. A comparison of the global fiber diffusion characteristics shows WD of both the corpus callosum and the ipsilateral superior longitudinal fasciculus. The corpus callosum in particular showed trans-hemispherical degeneration. Local fiber characteristics along the geodesic paths show WD in the corpus callosum, ipsilateral superior longitudinal fasciculus, ipsilateral corticospinal tract, and ipsilateral corticothalamic tract. We have demonstrated changes in $D_{av}$ and FA values and a clear correspondence with the WD in various tracts. TOI analysis successfully revealed radial WD in white matter tracts from a region of encephalomalacia and primary gliosis, although they were only slightly affected.

A Simple Multispectral Imaging Algorithm for Detection of Defects on Red Delicious Apples

  • Lee, Hoyoung;Yang, Chun-Chieh;Kim, Moon S.;Lim, Jongguk;Cho, Byoung-Kwan;Lefcourt, Alan;Chao, Kuanglin;Everard, Colm D.
    • Journal of Biosystems Engineering
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    • v.39 no.2
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    • pp.142-149
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    • 2014
  • Purpose: A multispectral algorithm for detection and differentiation of defective (defects on apple skin) and normal Red Delicious apples was developed from analysis of a series of hyperspectral line-scan images. Methods: A fast line-scan hyperspectral imaging system mounted on a conventional apple sorting machine was used to capture hyperspectral images of apples moving approximately 4 apples per second on a conveyor belt. The detection algorithm included an apple segmentation method and a threshold function, and was developed using three wavebands at 676 nm, 714 nm and 779 nm. The algorithm was executed on line-by-line image analysis, simulating online real-time line-scan imaging inspection during fruit processing. Results: The rapid multispectral algorithm detected over 95% of defective apples and 91% of normal apples investigated. Conclusions: The multispectral defect detection algorithm can potentially be used in commercial apple processing lines.

Thermal Design and Analysis for Space Imaging Sensor on LEO (지구 저궤도에서 운용되는 영상센서를 위한 열설계 및 열해석)

  • Shin, So-Min;Oh, Hyun-Ung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.39 no.5
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    • pp.474-480
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    • 2011
  • Space Imaging Sensor operated on LEO is affected from the Earth IR and Albedo as well as the Sun Radiation. The Imaging Sensor exposed to extreme environment needs thermal control subsystem to be maintained in operating/non-operating allowable temperature. Generally, units are periodically dissipated on spacecraft panel, which is designed as radiator. Because thermal design of the imaging sensor inside a spacecraft is isolated, heat pipes connected to radiators on the panel efficiently transfer dissipation of the units. First of all, preliminary thermal design of radiating area and heater power is performed through steady energy balance equation. Based on preliminary thermal design, on-orbit thermal analysis is calculated by SINDA, so calculation for thermal design could be easy and rapid. Radiators are designed to rib-type in order to maintain radiating performance and reduce mass. After on-orbit thermal analysis, thermal requirements for Space Imaging Sensor are verified.

Non-destructive identification of fake eggs using fluorescence spectral analysis and hyperspectral imaging

  • Geonwoo, Kim;Ritu, Joshi;Rahul, Joshi;Moon S., Kim;Insuck, Baek;Juntae, Kim;Eun-Sung, Park;Hoonsoo, Lee;Changyeun, Mo;Byoung-Kwan, Cho
    • Korean Journal of Agricultural Science
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    • v.49 no.3
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    • pp.495-510
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    • 2022
  • In this study, fluorescence hyperspectral imaging (FHSI) was used for the rapid, non-destructive detection of fake, manmade eggs from real eggs. To identify fake eggs, protoporphyrin IX (PpIX)-a natural pigment present in real eggshells-was utilized as the main indicator due to its strong fluorescence emission effect. The fluorescence images of real and fake eggs were acquired using a line-scan-based FHSI system, and their fluorescence features were analyzed based on spectroscopic techniques. To improve the detection performance and accuracy, an optimal waveband combination was investigated with analysis of variance (ANOVA), and its fluorescence ratio images (588/645 nm) were created for visualization of the real eggs between two different egg groups. In addition, real and fake eggs were scanned using a one-waveband (645 nm) handheld fluorescence imager that can perform real-time scanning for on-site applications. Then, the results of the two methods were compared with one another. The outcome clearly shows that the newly developed FHSI system and the fluorescence handheld imager were both able to distinguish real eggs from fake eggs. Consequently, FHSI showed a better performance (clearer images) compared to the fluorescence handheld imager, and the outcome provided valuable information about the feasibility of using FHSI imaging with ANOVA for the discrimination of real and fake eggs.

Rapid Progression of Cerebral Infarction after Intraventricular Hemorrhage in Adult Moyamoya Disease

  • Matsumoto, Hiroaki;Yoshida, Yasuhisa
    • Journal of Korean Neurosurgical Society
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    • v.54 no.5
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    • pp.411-414
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    • 2013
  • The authors present a rare case of adult moyamoya disease in which a patient experienced rapid progression of cerebral infarction after intraventricular hemorrhage (IVH). A healthy 39-year-old woman was admitted to our hospital with sudden headache, a decreased level of consciousness and mild tetraparesis. Initial magnetic resonance imaging revealed small cerebral infarction and IVH. Although the patient underwent conservative therapy including hypervolemia, hemodilution, keeping moderate hypertension and administration of a free radical scavenger, she showed a fulminant clinical course of cerebral infarction. The authors discuss the possible pathophysiology and suggest the treatment for such cases.

Classification of Mouse Lung Metastatic Tumor with Deep Learning

  • Lee, Ha Neul;Seo, Hong-Deok;Kim, Eui-Myoung;Han, Beom Seok;Kang, Jin Seok
    • Biomolecules & Therapeutics
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    • v.30 no.2
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    • pp.179-183
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    • 2022
  • Traditionally, pathologists microscopically examine tissue sections to detect pathological lesions; the many slides that must be evaluated impose severe work burdens. Also, diagnostic accuracy varies by pathologist training and experience; better diagnostic tools are required. Given the rapid development of computer vision, automated deep learning is now used to classify microscopic images, including medical images. Here, we used a Inception-v3 deep learning model to detect mouse lung metastatic tumors via whole slide imaging (WSI); we cropped the images to 151 by 151 pixels. The images were divided into training (53.8%) and test (46.2%) sets (21,017 and 18,016 images, respectively). When images from lung tissue containing tumor tissues were evaluated, the model accuracy was 98.76%. When images from normal lung tissue were evaluated, the model accuracy ("no tumor") was 99.87%. Thus, the deep learning model distinguished metastatic lesions from normal lung tissue. Our approach will allow the rapid and accurate analysis of various tissues.