The Experts below are selected from a list of 4275 Experts worldwide ranked by ideXlab platform
Carl G. Simon - One of the best experts on this subject based on the ideXlab platform.
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DiameterJ: A validated open source Nanofiber Diameter measurement tool
Biomaterials, 2015Co-Authors: Nathan A. Hotaling, Hermanus Kriel, Kapil Bharti, Carl G. SimonAbstract:Despite the growing use of Nanofiber scaffolds for tissue engineering applications, there is not a validated, readily available, free solution for rapid, automated analysis of Nanofiber Diameter from scanning electron microscope (SEM) micrographs. Thus, the goal of this study was to create a user friendly ImageJ/FIJI plugin that would analyze SEM micrographs of Nanofibers to determine Nanofiber Diameter on a desktop computer within 60 s. Additional design goals included 1) compatibility with a variety of existing segmentation algorithms, and 2) an open source code to enable further improvement of the plugin. Using existing algorithms for centerline determination, Euclidean distance transforms and a novel pixel transformation technique, a plugin called "DiameterJ" was created for ImageJ/FIJI. The plugin was validated using 1) digital synthetic images of white lines on a black background and 2) SEM images of nominally monodispersed steel wires of known Diameters. DiameterJ analyzed SEM micrographs in 20 s, produced Diameters not statistically different from known values, was over 10-times closer to known Diameter values than other open source software, provided hundreds of times the sampling of manual measurement, and was hundreds of times faster than manual assessment of Nanofiber Diameter. DiameterJ enables users to rapidly and thoroughly determine the structural features of Nanofiber scaffolds and could potentially allow new insights to be formed into fiber Diameter distribution and cell response.
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Dataset for the validation and use of DiameterJ an open source Nanofiber Diameter measurement tool
Data in Brief, 2015Co-Authors: Nathan A. Hotaling, Hermanus Kriel, Kapil Bharti, Carl G. SimonAbstract:DiameterJ is an open source image analysis plugin for ImageJ. DiameterJ produces ten files for every image that it analyzes. These files include the images that were analyzed, the data to create histograms of fiber radius, pore size, fiber orientation, and summary statistics, as well as images to check the output of DiameterJ. DiameterJ was validated with 130 in silico-derived, digital, synthetic images and 24 scanning electron microscope (SEM) images of steel wire samples with a known Diameter distribution. Once validated, DiameterJ was used to analyze SEM images of electrospun polymeric Nanofibers, including a comparison of different segmentation algorithms. In this article, all digital synthetic images, SEM images, and their segmentations are included. Additionally, DiameterJ's raw output files, and processed data is included for the reader. The data provided herein was used to generate the figures in DiameterJ: A Validated Open Source Nanofiber Diameter Measurement Tool [1], where more discussion can be found.
M Ziabari - One of the best experts on this subject based on the ideXlab platform.
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application of direct tracking method for measuring electrospun Nanofiber Diameter
Brazilian Journal of Chemical Engineering, 2009Co-Authors: M Ziabari, Vahid Mottaghitalab, A K HaghiAbstract:In this paper, direct tracking method as an image analysis based technique for measuring electrospun Nanofiber Diameter has been presented and compared with distance transform method. Samples with known characteristics generated using a simulation scheme known as µ-randomness were employed to evaluate the accuracy of the method. Electrospun webs of polyvinyl alcohol (PVA) were also used to verify the applicability of the method on real samples. Since direct tracking as well as distance transform require binary input images, micrographs of the electrospun webs obtained from Scanning Electron Microscopy (SEM) were first converted to black and white using local thresholding. Direct tracking resulted in more accurate estimations of fiber Diameter for simulated images as well as electrospun webs suggesting the usefulness of the method for electrospun Nanofiber Diameter measurement.
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APPLICATION OF DIRECT TRACKING METHOD FOR MEASURING ELECTROSPUN Nanofiber Diameter
Brazilian Journal of Chemical Engineering, 2009Co-Authors: M Ziabari, Vahid Mottaghitalab, Akbar Khodaparast HaghiAbstract:In this paper, direct tracking method as an image analysis based technique for measuring electrospun Nanofiber Diameter has been presented and compared with distance transform method. Samples with known characteristics generated using a simulation scheme known as µ-randomness were employed to evaluate the accuracy of the method. Electrospun webs of polyvinyl alcohol (PVA) were also used to verify the applicability of the method on real samples. Since direct tracking as well as distance transform require binary input images, micrographs of the electrospun webs obtained from Scanning Electron Microscopy (SEM) were first converted to black and white using local thresholding. Direct tracking resulted in more accurate estimations of fiber Diameter for simulated images as well as electrospun webs suggesting the usefulness of the method for electrospun Nanofiber Diameter measurement.
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Distance transform algorithm for measuring Nanofiber Diameter
Korean Journal of Chemical Engineering, 2008Co-Authors: M Ziabari, Vahid Mottaghitalab, Akbar Khodaparast HaghiAbstract:This paper describes a new distance transform method used for measuring fiber Diameter in electrospun Nanofiber webs. In this algorithm, the effect of intersection is eliminated, which brings more accuracy to the measurement. The method is tested by a series of simulated images with known characteristics as well as some real webs obtained from electrospinning of PVA. Our method is compared with the distance transform method. The results obtained by our method were significantly better than the distance transform, indicating that the new method could successfully be used to measure electrospun fiber Diameter.
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Simulated image of electrospun nonwoven web of PVA and corresponding Nanofiber Diameter distribution
Korean Journal of Chemical Engineering, 2008Co-Authors: M Ziabari, Vahid Mottaghitalab, Akbar Khodaparast HaghiAbstract:Fiber Diameter is the most important characteristic in electrospun nonwoven webs. Understanding how it is influenced by the electrospinning parameters is essential to produce webs with desired characteristics. In this contribution, Direct Tracking method for measuring electrospun fiber Diameter is described. To evaluate the accuracy of the technique, a simulation algorithm for generating webs with known characteristics was employed. To verify the applicability of the method on real samples, an electrospun polyvinyl alcohol (PVA) mat, as a representative of real webs, was used. Since the Direct Tracking method uses a binary image as its input, local thresholding was applied to segment the SEM micrograph of the electrospun web. The results indicate that the method could be used successfully for determining fiber Diameter in electrospun nonwoven webs.
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A novel approach for measurement of Nanofiber Diameter of electrospun webs
2008Co-Authors: M Ziabari, Vahid Mottaghitalab, Akbar Khodaparast HaghiAbstract:In this chapter, a novel approach is presented for determination of Nanofiber Diameter of electrospun webs. In this approach we have demonstrated the general applicability of a method using real webs, taking into account 5 real electrospun nonwoven webs, which were obtained by electrospinning of PVA. The application of image analysis has been reviewed and successfully applied using this new approach.
A K Haghi - One of the best experts on this subject based on the ideXlab platform.
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application of direct tracking method for measuring electrospun Nanofiber Diameter
Brazilian Journal of Chemical Engineering, 2009Co-Authors: M Ziabari, Vahid Mottaghitalab, A K HaghiAbstract:In this paper, direct tracking method as an image analysis based technique for measuring electrospun Nanofiber Diameter has been presented and compared with distance transform method. Samples with known characteristics generated using a simulation scheme known as µ-randomness were employed to evaluate the accuracy of the method. Electrospun webs of polyvinyl alcohol (PVA) were also used to verify the applicability of the method on real samples. Since direct tracking as well as distance transform require binary input images, micrographs of the electrospun webs obtained from Scanning Electron Microscopy (SEM) were first converted to black and white using local thresholding. Direct tracking resulted in more accurate estimations of fiber Diameter for simulated images as well as electrospun webs suggesting the usefulness of the method for electrospun Nanofiber Diameter measurement.
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A New Image Analysis Based Method for Measuring Electrospun Nanofiber Diameter
Nanoscale Research Letters, 2007Co-Authors: M Ziabari, Vahid Mottaghitalab, Scott T Mcgovern, A K HaghiAbstract:In this paper, a new image analysis based method for electrospun Nanofiber Diameter measurement has been presented. The method was tested by a simulated image with known characteristics and a real web. Mean (M) and standard deviation (STD) of fiber Diameter obtained using this method for the simulated image were 15.02 and 4.80 pixels respectively, compared to the true values of 15.35 and 4.47 pixels. For the real web, applying the method resulted in M and STD of 324 and 50.4 nm which are extremely close to the values of 319 and 42 nm obtained using manual method. The results show that this approach is successful in making fast, accurate automated measurements of electrospun fiber Diameters.
Nathan A. Hotaling - One of the best experts on this subject based on the ideXlab platform.
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DiameterJ: A validated open source Nanofiber Diameter measurement tool
Biomaterials, 2015Co-Authors: Nathan A. Hotaling, Hermanus Kriel, Kapil Bharti, Carl G. SimonAbstract:Despite the growing use of Nanofiber scaffolds for tissue engineering applications, there is not a validated, readily available, free solution for rapid, automated analysis of Nanofiber Diameter from scanning electron microscope (SEM) micrographs. Thus, the goal of this study was to create a user friendly ImageJ/FIJI plugin that would analyze SEM micrographs of Nanofibers to determine Nanofiber Diameter on a desktop computer within 60 s. Additional design goals included 1) compatibility with a variety of existing segmentation algorithms, and 2) an open source code to enable further improvement of the plugin. Using existing algorithms for centerline determination, Euclidean distance transforms and a novel pixel transformation technique, a plugin called "DiameterJ" was created for ImageJ/FIJI. The plugin was validated using 1) digital synthetic images of white lines on a black background and 2) SEM images of nominally monodispersed steel wires of known Diameters. DiameterJ analyzed SEM micrographs in 20 s, produced Diameters not statistically different from known values, was over 10-times closer to known Diameter values than other open source software, provided hundreds of times the sampling of manual measurement, and was hundreds of times faster than manual assessment of Nanofiber Diameter. DiameterJ enables users to rapidly and thoroughly determine the structural features of Nanofiber scaffolds and could potentially allow new insights to be formed into fiber Diameter distribution and cell response.
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Dataset for the validation and use of DiameterJ an open source Nanofiber Diameter measurement tool
Data in Brief, 2015Co-Authors: Nathan A. Hotaling, Hermanus Kriel, Kapil Bharti, Carl G. SimonAbstract:DiameterJ is an open source image analysis plugin for ImageJ. DiameterJ produces ten files for every image that it analyzes. These files include the images that were analyzed, the data to create histograms of fiber radius, pore size, fiber orientation, and summary statistics, as well as images to check the output of DiameterJ. DiameterJ was validated with 130 in silico-derived, digital, synthetic images and 24 scanning electron microscope (SEM) images of steel wire samples with a known Diameter distribution. Once validated, DiameterJ was used to analyze SEM images of electrospun polymeric Nanofibers, including a comparison of different segmentation algorithms. In this article, all digital synthetic images, SEM images, and their segmentations are included. Additionally, DiameterJ's raw output files, and processed data is included for the reader. The data provided herein was used to generate the figures in DiameterJ: A Validated Open Source Nanofiber Diameter Measurement Tool [1], where more discussion can be found.
Vahid Mottaghitalab - One of the best experts on this subject based on the ideXlab platform.
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application of direct tracking method for measuring electrospun Nanofiber Diameter
Brazilian Journal of Chemical Engineering, 2009Co-Authors: M Ziabari, Vahid Mottaghitalab, A K HaghiAbstract:In this paper, direct tracking method as an image analysis based technique for measuring electrospun Nanofiber Diameter has been presented and compared with distance transform method. Samples with known characteristics generated using a simulation scheme known as µ-randomness were employed to evaluate the accuracy of the method. Electrospun webs of polyvinyl alcohol (PVA) were also used to verify the applicability of the method on real samples. Since direct tracking as well as distance transform require binary input images, micrographs of the electrospun webs obtained from Scanning Electron Microscopy (SEM) were first converted to black and white using local thresholding. Direct tracking resulted in more accurate estimations of fiber Diameter for simulated images as well as electrospun webs suggesting the usefulness of the method for electrospun Nanofiber Diameter measurement.
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APPLICATION OF DIRECT TRACKING METHOD FOR MEASURING ELECTROSPUN Nanofiber Diameter
Brazilian Journal of Chemical Engineering, 2009Co-Authors: M Ziabari, Vahid Mottaghitalab, Akbar Khodaparast HaghiAbstract:In this paper, direct tracking method as an image analysis based technique for measuring electrospun Nanofiber Diameter has been presented and compared with distance transform method. Samples with known characteristics generated using a simulation scheme known as µ-randomness were employed to evaluate the accuracy of the method. Electrospun webs of polyvinyl alcohol (PVA) were also used to verify the applicability of the method on real samples. Since direct tracking as well as distance transform require binary input images, micrographs of the electrospun webs obtained from Scanning Electron Microscopy (SEM) were first converted to black and white using local thresholding. Direct tracking resulted in more accurate estimations of fiber Diameter for simulated images as well as electrospun webs suggesting the usefulness of the method for electrospun Nanofiber Diameter measurement.
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Distance transform algorithm for measuring Nanofiber Diameter
Korean Journal of Chemical Engineering, 2008Co-Authors: M Ziabari, Vahid Mottaghitalab, Akbar Khodaparast HaghiAbstract:This paper describes a new distance transform method used for measuring fiber Diameter in electrospun Nanofiber webs. In this algorithm, the effect of intersection is eliminated, which brings more accuracy to the measurement. The method is tested by a series of simulated images with known characteristics as well as some real webs obtained from electrospinning of PVA. Our method is compared with the distance transform method. The results obtained by our method were significantly better than the distance transform, indicating that the new method could successfully be used to measure electrospun fiber Diameter.
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Simulated image of electrospun nonwoven web of PVA and corresponding Nanofiber Diameter distribution
Korean Journal of Chemical Engineering, 2008Co-Authors: M Ziabari, Vahid Mottaghitalab, Akbar Khodaparast HaghiAbstract:Fiber Diameter is the most important characteristic in electrospun nonwoven webs. Understanding how it is influenced by the electrospinning parameters is essential to produce webs with desired characteristics. In this contribution, Direct Tracking method for measuring electrospun fiber Diameter is described. To evaluate the accuracy of the technique, a simulation algorithm for generating webs with known characteristics was employed. To verify the applicability of the method on real samples, an electrospun polyvinyl alcohol (PVA) mat, as a representative of real webs, was used. Since the Direct Tracking method uses a binary image as its input, local thresholding was applied to segment the SEM micrograph of the electrospun web. The results indicate that the method could be used successfully for determining fiber Diameter in electrospun nonwoven webs.
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A novel approach for measurement of Nanofiber Diameter of electrospun webs
2008Co-Authors: M Ziabari, Vahid Mottaghitalab, Akbar Khodaparast HaghiAbstract:In this chapter, a novel approach is presented for determination of Nanofiber Diameter of electrospun webs. In this approach we have demonstrated the general applicability of a method using real webs, taking into account 5 real electrospun nonwoven webs, which were obtained by electrospinning of PVA. The application of image analysis has been reviewed and successfully applied using this new approach.
