The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
Masatoshi Ishikawa - One of the best experts on this subject based on the ideXlab platform.
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Serial Algorithm for high speed autofocusing of cells using depth from diffraction dfdi method
International Conference on Robotics and Automation, 2008Co-Authors: Soshiro Makise, Hiromasa Oku, Masatoshi IshikawaAbstract:In this paper, a new Serial Algorithm for highspeed autofocusing of cells is proposed. The proposed Algorithm extracts depth information of target cells from their diffraction patterns. High-speed focusing of yeast cells with 20 ms response time was demonstrated. Continuous autofocusing of yeast cells with a scanning microscope was also demonstrated. The successful continuous autofocusing suggests that image-based high- throughput measurement of cells could be realized using the proposed Algorithm.
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ICRA - Serial Algorithm for high-speed autofocusing of cells using Depth From Diffraction (DFDi) method
2008 IEEE International Conference on Robotics and Automation, 2008Co-Authors: Soshiro Makise, Hiromasa Oku, Masatoshi IshikawaAbstract:In this paper, a new Serial Algorithm for highspeed autofocusing of cells is proposed. The proposed Algorithm extracts depth information of target cells from their diffraction patterns. High-speed focusing of yeast cells with 20 ms response time was demonstrated. Continuous autofocusing of yeast cells with a scanning microscope was also demonstrated. The successful continuous autofocusing suggests that image-based high- throughput measurement of cells could be realized using the proposed Algorithm.
Soshiro Makise - One of the best experts on this subject based on the ideXlab platform.
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Serial Algorithm for high speed autofocusing of cells using depth from diffraction dfdi method
International Conference on Robotics and Automation, 2008Co-Authors: Soshiro Makise, Hiromasa Oku, Masatoshi IshikawaAbstract:In this paper, a new Serial Algorithm for highspeed autofocusing of cells is proposed. The proposed Algorithm extracts depth information of target cells from their diffraction patterns. High-speed focusing of yeast cells with 20 ms response time was demonstrated. Continuous autofocusing of yeast cells with a scanning microscope was also demonstrated. The successful continuous autofocusing suggests that image-based high- throughput measurement of cells could be realized using the proposed Algorithm.
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ICRA - Serial Algorithm for high-speed autofocusing of cells using Depth From Diffraction (DFDi) method
2008 IEEE International Conference on Robotics and Automation, 2008Co-Authors: Soshiro Makise, Hiromasa Oku, Masatoshi IshikawaAbstract:In this paper, a new Serial Algorithm for highspeed autofocusing of cells is proposed. The proposed Algorithm extracts depth information of target cells from their diffraction patterns. High-speed focusing of yeast cells with 20 ms response time was demonstrated. Continuous autofocusing of yeast cells with a scanning microscope was also demonstrated. The successful continuous autofocusing suggests that image-based high- throughput measurement of cells could be realized using the proposed Algorithm.
Laurence Borand - One of the best experts on this subject based on the ideXlab platform.
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usefulness of a Serial Algorithm of hbsag and hbeag rapid diagnosis tests to detect pregnant women at risk of hbv mother to child transmission in cambodia the anrs 12328 pilot study
Journal of Clinical Virology, 2018Co-Authors: Olivier Segeral, Dieynaba S Ndiaye, Sophearot Prak, Janin Nouhin, Samsorphea Chhun, Wootichai Khamduang, Kenrena Chim, Annemarie Roqueafonso, Patrice Piola, Laurence BorandAbstract:Abstract Background In Cambodia, access to hepatitis B surface antigen (HBsAg) screening is low for pregnant women and Hepatitis B Virus (HBV) DNA quantification is poorly accessible. Objectives To evaluate the performance of a Serial Algorithm using two HBV rapid diagnostic tests (RDTs), in which samples positive for HBsAg were further tested for HBeAg as a surrogate marker for HBV DNA quantification. Study design In 2015, we prospectively collected plasma samples from 250 pregnant women consulting for antenatal care in one hospital in Phnom Penh including 128 with a known positive HBsAg status. All specimens were tested with the SD BIOLINE HBsAg RDT and HBsAg ELISA assay. In ELISA-positive samples, HBeAg status was determined using the SD BIOLINE HBeAg RDT and HBV DNA quantification was assessed. Results Sensitivity and specificity of HBsAg RDT were 99.2% (97.7–99.9) and 100% (97.0–100), respectively. Among the 128 ELISA-positive samples, 29 (23%) tested HBeAg positive and 34 (26.5%) had HBV DNA > 5.3 Log10 IU/mL. Sensitivity and specificity of HBeAg RDT in identifying viremic samples were 76.5% (62.2.0–90.7) and 96.8% (93.3–100) for HBV DNA > 5.3 Log10 IU/mL and 89.3% (77.8–100) and 96.0% (92.2–99.8) for HBV DNA > 7.3 Log10IU/mL. Among the 99 negative HBeAg RDT women, 8 had HBV DNA > 5.3 Log10 IU/mL and 7 of them harbored BCP/PC HBV mutants. Conclusions A combination of HBsAg and HBeAg RDTs could be a low-cost strategy to identify HBV-infected pregnant women at risk of perinatal transmission in a country were HBV DNA quantification is not routinely available.
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Usefulness of a Serial Algorithm of HBsAg and HBeAg rapid diagnosis tests to detect pregnant women at risk of HBV mother-to-child transmission in Cambodia, the ANRS 12328 pilot study
Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 2018Co-Authors: Olivier Segeral, Sophearot Prak, Janin Nouhin, Samsorphea Chhun, Wootichai Khamduang, Kenrena Chim, Patrice Piola, Dieynaba S N'diaye, Anne-marie Roque-afonso, Laurence BorandAbstract:In Cambodia, access to hepatitis B surface antigen (HBsAg) screening is low for pregnant women and Hepatitis B Virus (HBV) DNA quantification is poorly accessible. To evaluate the performance of a Serial Algorithm using two HBV rapid diagnostic tests (RDTs), in which samples positive for HBsAg were further tested for HBeAg as a surrogate marker for HBV DNA quantification. In 2015, we prospectively collected plasma samples from 250 pregnant women consulting for antenatal care in one hospital in Phnom Penh including 128 with a known positive HBsAg status. All specimens were tested with the SD BIOLINE HBsAg RDT and HBsAg ELISA assay. In ELISA-positive samples, HBeAg status was determined using the SD BIOLINE HBeAg RDT and HBV DNA quantification was assessed. Sensitivity and specificity of HBsAg RDT were 99.2% (97.7-99.9) and 100% (97.0-100), respectively. Among the 128 ELISA-positive samples, 29 (23%) tested HBeAg positive and 34 (26.5%) had HBV DNA > 5.3 Log10 IU/mL. Sensitivity and specificity of HBeAg RDT in identifying viremic samples were 76.5% (62.2.0-90.7) and 96.8% (93.3-100) for HBV DNA > 5.3 Log10 IU/mL and 89.3% (77.8-100) and 96.0% (92.2-99.8) for HBV DNA > 7.3 Log10IU/mL. Among the 99 negative HBeAg RDT women, 8 had HBV DNA > 5.3 Log10 IU/mL and 7 of them harbored BCP/PC HBV mutants. A combination of HBsAg and HBeAg RDTs could be a low-cost strategy to identify HBV-infected pregnant women at risk of perinatal transmission in a country were HBV DNA quantification is not routinely available. Copyright © 2018 Elsevier B.V. All rights reserved.
Masoud Taghinezhad Omran - One of the best experts on this subject based on the ideXlab platform.
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parallel Algorithm to find minimum vertex guard set in a triangulated irregular network
Parallel Processing and Applied Mathematics, 2007Co-Authors: Masoud Taghinezhad OmranAbstract:This paper presents a new Serial Algorithm for selecting a nearly minimum number of vertex-guards so that all parts of a geographical surface modeled by a TIN (Triangulated Irregular Networks) is covered. Our Algorithm selects fewer guards than the best existing Algorithms on the average. Based on this approach, a new coarse-grain parallel Algorithm for this problem is proposed. It has been showed that the upper bound for total number of guards, selected by this Algorithm, is ⌊2n/3⌋ where n is number of vertices in the TIN. Average case analysis and implementation results show that in real TINs even fewer than ⌊n/2⌋ guards (proved upper bound of needed guards in worse-case) are selected by our Serial and parallel Algorithms.
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PPAM - Parallel Algorithm to find minimum vertex guard set in a triangulated irregular network
Parallel Processing and Applied Mathematics, 2007Co-Authors: Masoud Taghinezhad OmranAbstract:This paper presents a new Serial Algorithm for selecting a nearly minimum number of vertex-guards so that all parts of a geographical surface modeled by a TIN (Triangulated Irregular Networks) is covered. Our Algorithm selects fewer guards than the best existing Algorithms on the average. Based on this approach, a new coarse-grain parallel Algorithm for this problem is proposed. It has been showed that the upper bound for total number of guards, selected by this Algorithm, is ⌊2n/3⌋ where n is number of vertices in the TIN. Average case analysis and implementation results show that in real TINs even fewer than ⌊n/2⌋ guards (proved upper bound of needed guards in worse-case) are selected by our Serial and parallel Algorithms.
Hiromasa Oku - One of the best experts on this subject based on the ideXlab platform.
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Serial Algorithm for high speed autofocusing of cells using depth from diffraction dfdi method
International Conference on Robotics and Automation, 2008Co-Authors: Soshiro Makise, Hiromasa Oku, Masatoshi IshikawaAbstract:In this paper, a new Serial Algorithm for highspeed autofocusing of cells is proposed. The proposed Algorithm extracts depth information of target cells from their diffraction patterns. High-speed focusing of yeast cells with 20 ms response time was demonstrated. Continuous autofocusing of yeast cells with a scanning microscope was also demonstrated. The successful continuous autofocusing suggests that image-based high- throughput measurement of cells could be realized using the proposed Algorithm.
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ICRA - Serial Algorithm for high-speed autofocusing of cells using Depth From Diffraction (DFDi) method
2008 IEEE International Conference on Robotics and Automation, 2008Co-Authors: Soshiro Makise, Hiromasa Oku, Masatoshi IshikawaAbstract:In this paper, a new Serial Algorithm for highspeed autofocusing of cells is proposed. The proposed Algorithm extracts depth information of target cells from their diffraction patterns. High-speed focusing of yeast cells with 20 ms response time was demonstrated. Continuous autofocusing of yeast cells with a scanning microscope was also demonstrated. The successful continuous autofocusing suggests that image-based high- throughput measurement of cells could be realized using the proposed Algorithm.
