The Experts below are selected from a list of 31320 Experts worldwide ranked by ideXlab platform
Christian Muhlfeld - One of the best experts on this subject based on the ideXlab platform.
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estimation of the Number of alveolar capillaries by the Euler Number Euler poincare characteristic
American Journal of Physiology-lung Cellular and Molecular Physiology, 2015Co-Authors: Alper Willfuhr, Christina Brandenberger, Tanja Piatkowski, Roman Grothausmann, Jens R Nyengaard, Matthias Ochs, Christian MuhlfeldAbstract:The lung parenchyma provides a maximal surface area of blood-containing capillaries that are in close contact with a large surface area of the air-containing alveoli. Volume and surface area of cap...
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estimation of the Number of alveolar capillaries by the Euler Number Euler poincare characteristic
American Journal of Physiology-lung Cellular and Molecular Physiology, 2015Co-Authors: Alper Willfuhr, Christina Brandenberger, Tanja Piatkowski, Roman Grothausmann, Jens R Nyengaard, Matthias Ochs, Christian MuhlfeldAbstract:The lung parenchyma provides a maximal surface area of blood-containing capillaries that are in close contact with a large surface area of the air-containing alveoli. Volume and surface area of capillaries are the classic stereological parameters to characterize the alveolar capillary network (ACN) and have provided essential structure-function information of the lung. When loss (rarefaction) or gain (angiogenesis) of capillaries occurs, these parameters may not be sufficient to provide mechanistic insight. Therefore, it would be desirable to estimate the Number of capillaries, as it contains more distinct and mechanistically oriented information. Here, we present a new stereological method to estimate the Number of capillary loops in the ACN. One advantage of this method is that it is independent of the shape, size, or distribution of the capillaries. We used consecutive, 1 μm-thick sections from epoxy resin-embedded material as a physical disector. The Euler-Poincare characteristic of capillary networks can be estimated by counting the easily recognizable topological constellations of "islands," "bridges," and "holes." The total Number of capillary loops in the ACN can then be calculated from the Euler-Poincare characteristic. With the use of the established estimator of alveolar Number, it is possible to obtain the mean Number of capillary loops per alveolus. In conclusion, estimation of alveolar capillaries by design-based stereology is an efficient and unbiased method to characterize the ACN and may be particularly useful for studies on emphysema, pulmonary hypertension, or lung development.
Yuyan Chao - One of the best experts on this subject based on the ideXlab platform.
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a combinational algorithm for connected component labeling and Euler Number computing
Journal of Real-time Image Processing, 2017Co-Authors: Xiao Zhao, Yuyan Chao, Bin Yao, Yun Yang, Zhenghao Shi, Kenji SuzukiAbstract:Connected-component labeling and Euler Number computing are two essential processing tasks for extracting objects' features in a binary image for the pattern recognition, image analysis, and computer (robot) vision. In general, the two processing tasks are usually executed independently by different algorithms in different scans. This paper proposes a combinational algorithm for labeling connected components in a binary image and computing the Euler Number of the image simultaneously. In our algorithm, for the current pixel, the two processing tasks use the same information obtained from its neighbor pixels in the same scan. Moreover, the information obtained during processing the current pixel will be used for processing the next pixel. Our method is simple in principle and powerful in practice. Experimental results demonstrated that our method is much more efficient than conventional methods on various kinds of images, either in the case where the Euler Number is calculated alone or in the case where both connected-component labeling and the Euler Number computing are necessary.
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a very fast algorithm for simultaneously performing connected component labeling and Euler Number computing
IEEE Transactions on Image Processing, 2015Co-Authors: Yuyan ChaoAbstract:Labeling connected components and calculating the Euler Number in a binary image are two fundamental processes for computer vision and pattern recognition. This paper presents an ingenious method for identifying a hole in a binary image in the first scan of connected-component labeling. Our algorithm can perform connected component labeling and Euler Number computing simultaneously, and it can also calculate the connected component (object) Number and the hole Number efficiently. The additional cost for calculating the hole Number is only $O(H)$ , where $H$ is the hole Number in the image. Our algorithm can be implemented almost in the same way as a conventional equivalent-label-set-based connected-component labeling algorithm. We prove the correctness of our algorithm and use experimental results for various kinds of images to demonstrate the power of our algorithm.
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an improvement on the Euler Number computing algorithm used in matlab
IEEE Region 10 Conference, 2013Co-Authors: Bin Yao, Yun Yang, Yuyan ChaoAbstract:Computation of the Euler Number of a binary image is often necessary in image matching, image database retrieval, image analysis, pattern recognition, and computer vision. This paper proposes an improvement on the Euler Number computing algorithm used in the famous image processing tool MATLAB. By use of the information obtained during processing the previous pixel, the Number of times of checking the neighbor pixels for processing a pixel decrease from 4 to 2. Our method is very simple in principle, and easily implemented. The experimental results demonstrated that our method outperforms significantly conventional Euler Number computing algorithms.
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an algorithm for connected component labeling hole labeling and Euler Number computing
Journal of Computer Science and Technology, 2013Co-Authors: Yuyan Chao, Kenji SuzukiAbstract:Labeling connected components and holes and computing the Euler Number in a binary image are necessary for image analysis, pattern recognition, and computer (robot) vision, and are usually made independently of each other in conventional methods. This paper proposes a two-scan algorithm for labeling connected components and holes simultaneously in a binary image by use of the same data structure. With our algorithm, besides labeling, we can also easily calculate the Number and the area of connected components and holes, as well as the Euler Number. Our method is very simple in principle, and experimental results demonstrate that our method is much more efficient than conventional methods for various kinds of images in cases where both labeling and Euler Number computing are necessary.
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a new algorithm for labeling connected components and calculating the Euler Number connected component Number and hole Number
International Conference on Pattern Recognition, 2012Co-Authors: Yuyan Chao, Kenji SuzukiAbstract:Labeling connected components and calculating the Euler Number, connected-component Number, and hole Number in a binary image are usually necessary for image analysis, pattern recognition, and computer (robot) vision. This paper presents a new algorithm for calculating the Euler Number, connected-component Number, and hole Number in a binary image by labeling connected components in the binary image. The experimental results demonstrated that our algorithm is more efficient than convention algorithms.
Ibolya Kiss - One of the best experts on this subject based on the ideXlab platform.
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Image_2_Subantimicrobial Dose Doxycycline Worsens Chronic Arthritis-Induced Bone Microarchitectural Alterations in a Mouse Model: Role of Matrix Metalloproteinases?.TIF
2019Co-Authors: Ádám Horváth, Bálint Botz, Tamás Kiss, Kata Csekő, Ibolya Kiss, Attila Felinger, Tamara Szabados, Éva Kenyeres, Péter Bencsik, Attila MócsaiAbstract:Background: Rheumatoid arthritis (RA) is a chronic inflammatory joint disease hallmarked by irreversible damage of cartilage and bone. Matrix metalloproteinases (MMPs) involved in connective tissue remodeling play an important role in this process. Numerous MMPs have been examined in humans and animals, but their functions are still not fully understood. Therefore, we investigated the role of MMPs in the K/BxN serum-transfer model of RA with the broad-spectrum MMP inhibitor subantimicrobial dose doxycycline (SDD) using complex in vivo and in vitro methodolgy.Methods: Chronic arthritis was induced by repetitive i.p. injections of K/BxN serum in C57BL/6J mice. SDD was administered daily in acidified drinking water (0.5 mg/mL, 80 mg/kg) during the 30 days experimental period. Mechanonociceptive threshold of the paw was evaluated by aesthesiometry, grasping ability by grid test, arthritis severity by scoring, neutrophil myeloperoxidase activity by luminescence, vascular hyperpermeability and MMP activity by fluorescence in vivo imaging and the latter also by gelatin zymography, bone structure by micro-computed tomography (micro-CT). Plasma concentrations of doxycycline were determined by liquid chromatography-mass spectrometry analysis.Results: K/BxN serum induced significant inflammatory signs, mechanical hyperalgesia, joint function impairment, increased myeloperoxidase activity and vascular hyperpermeability. Significant increase of MMP activity was also observed both in vivo and ex vivo with elevation of the 57–60, 75, and 92 kDa gelatinolytic isoforms in the arthritic ankle joints, but neither MMP activity nor any above described functional parameters were influenced by SDD. Most importantly, SDD significantly reduced bone mineral density in the distal tibia and enhanced the Euler Number in the ankle. Arthritis-induced microarchitectural alterations demonstrating increased irregularity and cancellous bone remodeling, such as increased Euler Number was significantly elevated by SDD in both regions.Conclusion: We showed increase of various MMP activities in the joints by in vivo fluorescence imaging together with ex vivo zymography, and investigated their functional significance using the broad-spectrum MMP inhibitor SDD in the translational RA model. This is the first demonstration that SDD worsens arthritis-induced bone microarchitectural alterations, but it appears to be independent of MMP inhibition.
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Subantimicrobial Dose Doxycycline Worsens Chronic Arthritis-Induced Bone Microarchitectural Alterations in a Mouse Model: Role of Matrix Metalloproteinases?
Frontiers Media S.A., 2019Co-Authors: Ádám Horváth, Bálint Botz, Tamás Kiss, Kata Csekő, Ibolya KissAbstract:Background: Rheumatoid arthritis (RA) is a chronic inflammatory joint disease hallmarked by irreversible damage of cartilage and bone. Matrix metalloproteinases (MMPs) involved in connective tissue remodeling play an important role in this process. Numerous MMPs have been examined in humans and animals, but their functions are still not fully understood. Therefore, we investigated the role of MMPs in the K/BxN serum-transfer model of RA with the broad-spectrum MMP inhibitor subantimicrobial dose doxycycline (SDD) using complex in vivo and in vitro methodolgy.Methods: Chronic arthritis was induced by repetitive i.p. injections of K/BxN serum in C57BL/6J mice. SDD was administered daily in acidified drinking water (0.5 mg/mL, 80 mg/kg) during the 30 days experimental period. Mechanonociceptive threshold of the paw was evaluated by aesthesiometry, grasping ability by grid test, arthritis severity by scoring, neutrophil myeloperoxidase activity by luminescence, vascular hyperpermeability and MMP activity by fluorescence in vivo imaging and the latter also by gelatin zymography, bone structure by micro-computed tomography (micro-CT). Plasma concentrations of doxycycline were determined by liquid chromatography-mass spectrometry analysis.Results: K/BxN serum induced significant inflammatory signs, mechanical hyperalgesia, joint function impairment, increased myeloperoxidase activity and vascular hyperpermeability. Significant increase of MMP activity was also observed both in vivo and ex vivo with elevation of the 57–60, 75, and 92 kDa gelatinolytic isoforms in the arthritic ankle joints, but neither MMP activity nor any above described functional parameters were influenced by SDD. Most importantly, SDD significantly reduced bone mineral density in the distal tibia and enhanced the Euler Number in the ankle. Arthritis-induced microarchitectural alterations demonstrating increased irregularity and cancellous bone remodeling, such as increased Euler Number was significantly elevated by SDD in both regions.Conclusion: We showed increase of various MMP activities in the joints by in vivo fluorescence imaging together with ex vivo zymography, and investigated their functional significance using the broad-spectrum MMP inhibitor SDD in the translational RA model. This is the first demonstration that SDD worsens arthritis-induced bone microarchitectural alterations, but it appears to be independent of MMP inhibition
J H Sossaazuela - One of the best experts on this subject based on the ideXlab platform.
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efficient computation of the Euler Number of a 2 d binary image
Mexican International Conference on Artificial Intelligence, 2016Co-Authors: J H Sossaazuela, Angel A Carreontorres, Raul Santiagomontero, Ernesto Bribiescacorrea, Alberto PetrillibarceloAbstract:A new method to compute the Euler Number of a 2-D binary image is described in this paper. The method employs three comparisons unlike other proposals that utilize more comparisons. We present two variations, one useful for the case of images containing only 4-connected objects and one useful in the case of 8-connected objects. To numerically validate our method, we firstly apply it to a set of very simple examples; to demonstrate its applicability, we test it next with a set of images of different sizes and object complexities. To show competitiveness of our method against other proposals, we compare it in terms of processing times with some of the state-of-the-art-formulations reported in literature.
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alternative way to compute the Euler Number of a binary image
Journal of Applied Research and Technology, 2011Co-Authors: J H Sossaazuela, E V Cuevasjimenez, D ZaldivarnavarroAbstract:In this paper an alternative way to compute the (E) Euler Number of a binary image via information about its pixels is presented. The
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computation of the Euler Number of a binary image composed of hexagonal cells
Journal of Applied Research and Technology, 2010Co-Authors: J H Sossaazuela, E V Cuevasjimenez, D ZaldivarnavarroAbstract:Most of the proposals to compute the Euler Number of a binary image have been designed to work with images composed of squared cells. Only a few of these methods (in the case of images composed of hexagonal cells) have been reported in literature, although it is known that images composed of hexagonal cells do not suffer from the problems of connectivity frequently found in the case of images composed of squared cells. In this paper, a new way to compute the Euler Number (E) of a binary image composed of hexagonal cells is presented. For this, the perimeter P of the isolated regions in the image, their contact perimeter c P and the type T of a cell are used to obtain this important invariant. The proposal can be used alone or in combination with other features to describe any binary planar shape composed of hexagonal pixels for its further recognition.
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on the computation of the Euler Number of a binary object
Pattern Recognition, 1996Co-Authors: L Juan S Diazdeleon, J H SossaazuelaAbstract:In this paper a new method to obtain the Euler Number of a binary object via its skeleton is presented. The Number of terminal points (points with just one neighbor) and the Number of three-edge-points (points with only three neighbors) in the graph are used to obtain this important invariant. As the proposed approach is inherently parallel, the resulting algorithm is very fast.
Alper Willfuhr - One of the best experts on this subject based on the ideXlab platform.
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estimation of the Number of alveolar capillaries by the Euler Number Euler poincare characteristic
American Journal of Physiology-lung Cellular and Molecular Physiology, 2015Co-Authors: Alper Willfuhr, Christina Brandenberger, Tanja Piatkowski, Roman Grothausmann, Jens R Nyengaard, Matthias Ochs, Christian MuhlfeldAbstract:The lung parenchyma provides a maximal surface area of blood-containing capillaries that are in close contact with a large surface area of the air-containing alveoli. Volume and surface area of cap...
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estimation of the Number of alveolar capillaries by the Euler Number Euler poincare characteristic
American Journal of Physiology-lung Cellular and Molecular Physiology, 2015Co-Authors: Alper Willfuhr, Christina Brandenberger, Tanja Piatkowski, Roman Grothausmann, Jens R Nyengaard, Matthias Ochs, Christian MuhlfeldAbstract:The lung parenchyma provides a maximal surface area of blood-containing capillaries that are in close contact with a large surface area of the air-containing alveoli. Volume and surface area of capillaries are the classic stereological parameters to characterize the alveolar capillary network (ACN) and have provided essential structure-function information of the lung. When loss (rarefaction) or gain (angiogenesis) of capillaries occurs, these parameters may not be sufficient to provide mechanistic insight. Therefore, it would be desirable to estimate the Number of capillaries, as it contains more distinct and mechanistically oriented information. Here, we present a new stereological method to estimate the Number of capillary loops in the ACN. One advantage of this method is that it is independent of the shape, size, or distribution of the capillaries. We used consecutive, 1 μm-thick sections from epoxy resin-embedded material as a physical disector. The Euler-Poincare characteristic of capillary networks can be estimated by counting the easily recognizable topological constellations of "islands," "bridges," and "holes." The total Number of capillary loops in the ACN can then be calculated from the Euler-Poincare characteristic. With the use of the established estimator of alveolar Number, it is possible to obtain the mean Number of capillary loops per alveolus. In conclusion, estimation of alveolar capillaries by design-based stereology is an efficient and unbiased method to characterize the ACN and may be particularly useful for studies on emphysema, pulmonary hypertension, or lung development.