The Experts below are selected from a list of 189 Experts worldwide ranked by ideXlab platform

Kanya Kuramoto - One of the best experts on this subject based on the ideXlab platform.

  • peptide profiling using matrix assisted laser desorption ionization time of flight mass spectrometry for identification of Animal Fibers
    Mass spectrometry, 2013
    Co-Authors: Yukari Izuchi, Mutsumi Tokuhara, Tsuneo Takashima, Kanya Kuramoto
    Abstract:

    Identification of Fibers for verification of their specific Animal origin is necessary for maintaining quality and value in the clothing industry. In order to examine adulteration in Animal Fibers, there is a commercially accepted method of microscopy analysis. However, this method is subjective and time-consuming due to its reliance on an operator identifying magnified Fibers from their scale image and other features. Therefore, alternative reliable identification methods are required. In this study, peptide analysis using matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOFMS) is presented and used to distinguish between cashmere, wool, mohair, yak, camel, angora, and alpaca in untreated and treated Fibers (dyed, chlorinated wool). Typical m/z values for each specific type of Animal Fiber were identified. Predictive models that could identify seven types of Animal Fibers as well as 50% blended samples were successfully constructed using multivariate analyses such as PCA and PLS regression. This technique is therefore extremely useful for complementing the conventional tests for detecting adulteration in Animal Fiber fabrics and clothing.

  • Peptide Profiling Using Matrix-Assisted Laser Desorption/Ionization-Time-of-Flight Mass Spectrometry for Identification of Animal Fibers
    Mass spectrometry, 2013
    Co-Authors: Yukari Izuchi, Mutsumi Tokuhara, Tsuneo Takashima, Kanya Kuramoto
    Abstract:

    Identification of Fibers for verification of their specific Animal origin is necessary for maintaining quality and value in the clothing industry. In order to examine adulteration in Animal Fibers, there is a commercially accepted method of microscopy analysis. However, this method is subjective and time-consuming due to its reliance on an operator identifying magnified Fibers from their scale image and other features. Therefore, alternative reliable identification methods are required. In this study, peptide analysis using matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOFMS) is presented and used to distinguish between cashmere, wool, mohair, yak, camel, angora, and alpaca in untreated and treated Fibers (dyed, chlorinated wool). Typical m/z values for each specific type of Animal Fiber were identified. Predictive models that could identify seven types of Animal Fibers as well as 50% blended samples were successfully constructed using multivariate analyses such as PCA and PLS regression. This technique is therefore extremely useful for complementing the conventional tests for detecting adulteration in Animal Fiber fabrics and clothing.

Yukari Izuchi - One of the best experts on this subject based on the ideXlab platform.

  • peptide profiling using matrix assisted laser desorption ionization time of flight mass spectrometry for identification of Animal Fibers
    Mass spectrometry, 2013
    Co-Authors: Yukari Izuchi, Mutsumi Tokuhara, Tsuneo Takashima, Kanya Kuramoto
    Abstract:

    Identification of Fibers for verification of their specific Animal origin is necessary for maintaining quality and value in the clothing industry. In order to examine adulteration in Animal Fibers, there is a commercially accepted method of microscopy analysis. However, this method is subjective and time-consuming due to its reliance on an operator identifying magnified Fibers from their scale image and other features. Therefore, alternative reliable identification methods are required. In this study, peptide analysis using matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOFMS) is presented and used to distinguish between cashmere, wool, mohair, yak, camel, angora, and alpaca in untreated and treated Fibers (dyed, chlorinated wool). Typical m/z values for each specific type of Animal Fiber were identified. Predictive models that could identify seven types of Animal Fibers as well as 50% blended samples were successfully constructed using multivariate analyses such as PCA and PLS regression. This technique is therefore extremely useful for complementing the conventional tests for detecting adulteration in Animal Fiber fabrics and clothing.

  • Peptide Profiling Using Matrix-Assisted Laser Desorption/Ionization-Time-of-Flight Mass Spectrometry for Identification of Animal Fibers
    Mass spectrometry, 2013
    Co-Authors: Yukari Izuchi, Mutsumi Tokuhara, Tsuneo Takashima, Kanya Kuramoto
    Abstract:

    Identification of Fibers for verification of their specific Animal origin is necessary for maintaining quality and value in the clothing industry. In order to examine adulteration in Animal Fibers, there is a commercially accepted method of microscopy analysis. However, this method is subjective and time-consuming due to its reliance on an operator identifying magnified Fibers from their scale image and other features. Therefore, alternative reliable identification methods are required. In this study, peptide analysis using matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOFMS) is presented and used to distinguish between cashmere, wool, mohair, yak, camel, angora, and alpaca in untreated and treated Fibers (dyed, chlorinated wool). Typical m/z values for each specific type of Animal Fiber were identified. Predictive models that could identify seven types of Animal Fibers as well as 50% blended samples were successfully constructed using multivariate analyses such as PCA and PLS regression. This technique is therefore extremely useful for complementing the conventional tests for detecting adulteration in Animal Fiber fabrics and clothing.

Tsuneo Takashima - One of the best experts on this subject based on the ideXlab platform.

  • peptide profiling using matrix assisted laser desorption ionization time of flight mass spectrometry for identification of Animal Fibers
    Mass spectrometry, 2013
    Co-Authors: Yukari Izuchi, Mutsumi Tokuhara, Tsuneo Takashima, Kanya Kuramoto
    Abstract:

    Identification of Fibers for verification of their specific Animal origin is necessary for maintaining quality and value in the clothing industry. In order to examine adulteration in Animal Fibers, there is a commercially accepted method of microscopy analysis. However, this method is subjective and time-consuming due to its reliance on an operator identifying magnified Fibers from their scale image and other features. Therefore, alternative reliable identification methods are required. In this study, peptide analysis using matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOFMS) is presented and used to distinguish between cashmere, wool, mohair, yak, camel, angora, and alpaca in untreated and treated Fibers (dyed, chlorinated wool). Typical m/z values for each specific type of Animal Fiber were identified. Predictive models that could identify seven types of Animal Fibers as well as 50% blended samples were successfully constructed using multivariate analyses such as PCA and PLS regression. This technique is therefore extremely useful for complementing the conventional tests for detecting adulteration in Animal Fiber fabrics and clothing.

  • Peptide Profiling Using Matrix-Assisted Laser Desorption/Ionization-Time-of-Flight Mass Spectrometry for Identification of Animal Fibers
    Mass spectrometry, 2013
    Co-Authors: Yukari Izuchi, Mutsumi Tokuhara, Tsuneo Takashima, Kanya Kuramoto
    Abstract:

    Identification of Fibers for verification of their specific Animal origin is necessary for maintaining quality and value in the clothing industry. In order to examine adulteration in Animal Fibers, there is a commercially accepted method of microscopy analysis. However, this method is subjective and time-consuming due to its reliance on an operator identifying magnified Fibers from their scale image and other features. Therefore, alternative reliable identification methods are required. In this study, peptide analysis using matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOFMS) is presented and used to distinguish between cashmere, wool, mohair, yak, camel, angora, and alpaca in untreated and treated Fibers (dyed, chlorinated wool). Typical m/z values for each specific type of Animal Fiber were identified. Predictive models that could identify seven types of Animal Fibers as well as 50% blended samples were successfully constructed using multivariate analyses such as PCA and PLS regression. This technique is therefore extremely useful for complementing the conventional tests for detecting adulteration in Animal Fiber fabrics and clothing.

Mutsumi Tokuhara - One of the best experts on this subject based on the ideXlab platform.

  • peptide profiling using matrix assisted laser desorption ionization time of flight mass spectrometry for identification of Animal Fibers
    Mass spectrometry, 2013
    Co-Authors: Yukari Izuchi, Mutsumi Tokuhara, Tsuneo Takashima, Kanya Kuramoto
    Abstract:

    Identification of Fibers for verification of their specific Animal origin is necessary for maintaining quality and value in the clothing industry. In order to examine adulteration in Animal Fibers, there is a commercially accepted method of microscopy analysis. However, this method is subjective and time-consuming due to its reliance on an operator identifying magnified Fibers from their scale image and other features. Therefore, alternative reliable identification methods are required. In this study, peptide analysis using matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOFMS) is presented and used to distinguish between cashmere, wool, mohair, yak, camel, angora, and alpaca in untreated and treated Fibers (dyed, chlorinated wool). Typical m/z values for each specific type of Animal Fiber were identified. Predictive models that could identify seven types of Animal Fibers as well as 50% blended samples were successfully constructed using multivariate analyses such as PCA and PLS regression. This technique is therefore extremely useful for complementing the conventional tests for detecting adulteration in Animal Fiber fabrics and clothing.

  • Peptide Profiling Using Matrix-Assisted Laser Desorption/Ionization-Time-of-Flight Mass Spectrometry for Identification of Animal Fibers
    Mass spectrometry, 2013
    Co-Authors: Yukari Izuchi, Mutsumi Tokuhara, Tsuneo Takashima, Kanya Kuramoto
    Abstract:

    Identification of Fibers for verification of their specific Animal origin is necessary for maintaining quality and value in the clothing industry. In order to examine adulteration in Animal Fibers, there is a commercially accepted method of microscopy analysis. However, this method is subjective and time-consuming due to its reliance on an operator identifying magnified Fibers from their scale image and other features. Therefore, alternative reliable identification methods are required. In this study, peptide analysis using matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOFMS) is presented and used to distinguish between cashmere, wool, mohair, yak, camel, angora, and alpaca in untreated and treated Fibers (dyed, chlorinated wool). Typical m/z values for each specific type of Animal Fiber were identified. Predictive models that could identify seven types of Animal Fibers as well as 50% blended samples were successfully constructed using multivariate analyses such as PCA and PLS regression. This technique is therefore extremely useful for complementing the conventional tests for detecting adulteration in Animal Fiber fabrics and clothing.

Carl-fredrik Westin - One of the best experts on this subject based on the ideXlab platform.

  • MICCAI (1) - 3D histological reconstruction of Fiber tracts and direct comparison with diffusion tensor MRI tractography
    Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Inte, 2006
    Co-Authors: Julien Dauguet, Sharon Peled, Vladimir K. Berezovskii, Thierry Delzescaux, Simon K. Warfield, Richard T. Born, Carl-fredrik Westin
    Abstract:

    A classical neural tract tracer, WGA-HRP, was injected at multiple sites within the brain of a macaque monkey. Histological sections of the labeled Fiber tracts were reconstructed in 3D, and the Fibers were segmented and registered with the anatomical post-mortem MRI from the same Animal. Fiber tracing along the same pathways was performed on the DTI data using a classical diffusion tracing technique. The Fibers derived from the DTI were compared with those segmented from the histology in order to evaluate the performance of DTI Fiber tracing. While there was generally good agreement between the two methods, our results reveal certain limitations of DTI tractography, particularly at regions of Fiber tract crossing or bifurcation.