The Experts below are selected from a list of 234 Experts worldwide ranked by ideXlab platform
Bingmei M. Fu - One of the best experts on this subject based on the ideXlab platform.
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Automatic Quantification of Endothelial Nitric Oxide Levels in a Microvessel with and without Tumor Cell Adhesion
International Journal of Image and Graphics, 2018Co-Authors: Lin Zhang, Bingmei M. FuAbstract:Elevated nitric oxide (NO) and endothelial nitric oxide synthase (eNOS) have been observed in cancer patients in malignancy state. We hypothesize that the higher NO production in the microvessels of these patients attracts more tumor cells (TCs) to adhere and accomplish their metastases. Since there are tens to hundreds of endothelial cells (ECs) forming on the microvessel walls, it is unsustainable to let human operators measure NO intensity levels by correlating TC maps with a multitude of Microphotographs via manual labor and eyeballing. To achieve effective and scalable quantifications, we developed an automatic algorithm to quantify NO intensity for Microphotographs taken from the experiments. Taking account of the special visual and geometric properties of microvessels in the study, the first step performs a novel Markov integrated dynamic programming procedure to single out the microvessel from the Microphotograph. The next step applies image processing and morphological operations to identify ECs ...
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Automatic Quantification of Endothelial Nitric Oxide Levels in a Microvessel with and without Tumor Cell Adhesion
International Journal of Image and Graphics, 2018Co-Authors: Lin Zhang, Bingmei M. FuAbstract:Elevated nitric oxide (NO) and endothelial nitric oxide synthase (eNOS) have been observed in cancer patients in malignancy state. We hypothesize that the higher NO production in the microvessels of these patients attracts more tumor cells (TCs) to adhere and accomplish their metastases. Since there are tens to hundreds of endothelial cells (ECs) forming on the microvessel walls, it is unsustainable to let human operators measure NO intensity levels by correlating TC maps with a multitude of Microphotographs via manual labor and eyeballing. To achieve effective and scalable quantifications, we developed an automatic algorithm to quantify NO intensity for Microphotographs taken from the experiments. Taking account of the special visual and geometric properties of microvessels in the study, the first step performs a novel Markov integrated dynamic programming procedure to single out the microvessel from the Microphotograph. The next step applies image processing and morphological operations to identify ECs and TCs on the microvessel detected from the prior step. Finally, a normalized cross-correlation procedure is applied to register the TC map to the microvessel and evaluate the NO ratios in the ECs with and without TC adhesions. With a processing time reduced from hours to seconds, this algorithm evaluates NO ratios exceedingly similar to those by human operators.
Ted Hubbard - One of the best experts on this subject based on the ideXlab platform.
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Effect of image degradation on nm-scale MEMS FFT optical displacement measurements
2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE), 2015Co-Authors: Hunter King, Stephan Warnat, Ted HubbardAbstract:This paper examines the optical measurement of nm-scale MEMS in-plane motion using Microphotographs, and the effect of degraded images on these results. Two common forms of image degradation are: blurring caused by the dynamic (AC) motion of the actuator and focus effects due to changes in focal plane or media changes. This paper address whether consistent nm-scale results can still be obtained when the image is thus changed. The motion of MEMS thermal actuators was measured by taking a series of undegraded Microphotographs at varying DC voltages that produce displacements of ~2.5 microns. A FFT based algorithm was used to analyze the phase of periodic structures in the image and measure displacements with precision on the order of 20-100 nm. Pristine undegraded measurements were compared with both artificially blurred images as well as manually defocused images. It was found that the FFT method was robust to large amounts of blurring and defocusing.
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CCECE - Effect of image degradation on nm-scale MEMS FFT optical displacement measurements
2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE), 2015Co-Authors: Hunter King, Stephan Warnat, Ted HubbardAbstract:This paper examines the optical measurement of nm-scale MEMS in-plane motion using Microphotographs, and the effect of degraded images on these results. Two common forms of image degradation are: blurring caused by the dynamic (AC) motion of the actuator and focus effects due to changes in focal plane or media changes. This paper address whether consistent nm-scale results can still be obtained when the image is thus changed. The motion of MEMS thermal actuators was measured by taking a series of undegraded Microphotographs at varying DC voltages that produce displacements of ∼2.5 microns. A FFT based algorithm was used to analyze the phase of periodic structures in the image and measure displacements with precision on the order of 20–100 nm. Pristine undegraded measurements were compared with both artificially blurred images as well as manually defocused images. It was found that the FFT method was robust to large amounts of blurring and defocusing.
Lin Zhang - One of the best experts on this subject based on the ideXlab platform.
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Automatic Quantification of Endothelial Nitric Oxide Levels in a Microvessel with and without Tumor Cell Adhesion
International Journal of Image and Graphics, 2018Co-Authors: Lin Zhang, Bingmei M. FuAbstract:Elevated nitric oxide (NO) and endothelial nitric oxide synthase (eNOS) have been observed in cancer patients in malignancy state. We hypothesize that the higher NO production in the microvessels of these patients attracts more tumor cells (TCs) to adhere and accomplish their metastases. Since there are tens to hundreds of endothelial cells (ECs) forming on the microvessel walls, it is unsustainable to let human operators measure NO intensity levels by correlating TC maps with a multitude of Microphotographs via manual labor and eyeballing. To achieve effective and scalable quantifications, we developed an automatic algorithm to quantify NO intensity for Microphotographs taken from the experiments. Taking account of the special visual and geometric properties of microvessels in the study, the first step performs a novel Markov integrated dynamic programming procedure to single out the microvessel from the Microphotograph. The next step applies image processing and morphological operations to identify ECs ...
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Automatic Quantification of Endothelial Nitric Oxide Levels in a Microvessel with and without Tumor Cell Adhesion
International Journal of Image and Graphics, 2018Co-Authors: Lin Zhang, Bingmei M. FuAbstract:Elevated nitric oxide (NO) and endothelial nitric oxide synthase (eNOS) have been observed in cancer patients in malignancy state. We hypothesize that the higher NO production in the microvessels of these patients attracts more tumor cells (TCs) to adhere and accomplish their metastases. Since there are tens to hundreds of endothelial cells (ECs) forming on the microvessel walls, it is unsustainable to let human operators measure NO intensity levels by correlating TC maps with a multitude of Microphotographs via manual labor and eyeballing. To achieve effective and scalable quantifications, we developed an automatic algorithm to quantify NO intensity for Microphotographs taken from the experiments. Taking account of the special visual and geometric properties of microvessels in the study, the first step performs a novel Markov integrated dynamic programming procedure to single out the microvessel from the Microphotograph. The next step applies image processing and morphological operations to identify ECs and TCs on the microvessel detected from the prior step. Finally, a normalized cross-correlation procedure is applied to register the TC map to the microvessel and evaluate the NO ratios in the ECs with and without TC adhesions. With a processing time reduced from hours to seconds, this algorithm evaluates NO ratios exceedingly similar to those by human operators.
Puji Budi Setia Asih - One of the best experts on this subject based on the ideXlab platform.
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Morphological Feature Extraction from Low Quality of Thick Blood Smear Microphotographs
2019 5th International Conference on Science in Information Technology (ICSITech), 2019Co-Authors: Umi Salamah, Anto Satriyo Nugroho, Ismail Ekoprayitno Rozi, Puji Budi Setia AsihAbstract:Identification of the parasite presence in a blood smear is the most crucial part of the diagnosis of malaria. In the case of the low quality of smear, the diagnosis process becomes more complex because the parasites are difficult to read. The identification accuracy can be improved using morphological features that microscopist commonly used in diagnosing malaria. In this paper, we proposed a strategy to reduce false-positive identification of malaria parasites using rule-based on the features. This paper shows how to extract the important features and determine the rule of identification of malaria parasites. Moreover, a splitting algorithm was developed for cases where core and cytoplasm are joined in segmentation result. The proposed method was tested on 50 candidate parasite. The experimental results show that the proposed method can reduce false positives greater than 70% compared to the results of the previous system.
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Two-stage feature extraction to identify Plasmodium ovale from thin blood smear Microphotograph
2014 International Conference on Data and Software Engineering (ICODSE), 2014Co-Authors: Anto Satriyo Nugroho, Made Gunawan, Vitria Pragesjvara, Miranti Jatnia Riski, Inas Ashilah, Isma Hariani, Ismail Ekoprayitno Rozi, Puji Budi Setia Asih, Umi Salamah, Esti SuryaniAbstract:Malaria is one of the tropical diseases, which is found with high prevalence in East side of Indonesia. To assist the diagnosis of this disease, we have developed a Computer Aided Diagnosis system that analyze the information obtained from thin blood smears Microphotograph. Five species of the parasites are found in Indonesia, and each of them has different morphology. Therefore, the morphological characteristics of the parasites should be considered in the feature extraction development to obtain an accurate classifications system. The focus of this study is on the feature extraction development for Plasmodium ovale detection. A novel strategy is proposed by divide the feature extraction into two stages. The first stage focused on the most distinctive features, while the second focused on detail characteristics of the parasite. The proposed algorithm was evaluated using 177 Microphotographs, obtained from Malaria observations carried out in various places of Indonesia by Eijkman Institute for Molecular Biology Indonesia, and showed a sensitivity of 0.75 and specificity 1.0.
Hunter King - One of the best experts on this subject based on the ideXlab platform.
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Effect of image degradation on nm-scale MEMS FFT optical displacement measurements
2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE), 2015Co-Authors: Hunter King, Stephan Warnat, Ted HubbardAbstract:This paper examines the optical measurement of nm-scale MEMS in-plane motion using Microphotographs, and the effect of degraded images on these results. Two common forms of image degradation are: blurring caused by the dynamic (AC) motion of the actuator and focus effects due to changes in focal plane or media changes. This paper address whether consistent nm-scale results can still be obtained when the image is thus changed. The motion of MEMS thermal actuators was measured by taking a series of undegraded Microphotographs at varying DC voltages that produce displacements of ~2.5 microns. A FFT based algorithm was used to analyze the phase of periodic structures in the image and measure displacements with precision on the order of 20-100 nm. Pristine undegraded measurements were compared with both artificially blurred images as well as manually defocused images. It was found that the FFT method was robust to large amounts of blurring and defocusing.
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CCECE - Effect of image degradation on nm-scale MEMS FFT optical displacement measurements
2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE), 2015Co-Authors: Hunter King, Stephan Warnat, Ted HubbardAbstract:This paper examines the optical measurement of nm-scale MEMS in-plane motion using Microphotographs, and the effect of degraded images on these results. Two common forms of image degradation are: blurring caused by the dynamic (AC) motion of the actuator and focus effects due to changes in focal plane or media changes. This paper address whether consistent nm-scale results can still be obtained when the image is thus changed. The motion of MEMS thermal actuators was measured by taking a series of undegraded Microphotographs at varying DC voltages that produce displacements of ∼2.5 microns. A FFT based algorithm was used to analyze the phase of periodic structures in the image and measure displacements with precision on the order of 20–100 nm. Pristine undegraded measurements were compared with both artificially blurred images as well as manually defocused images. It was found that the FFT method was robust to large amounts of blurring and defocusing.