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Computational Image Modeling for Characterization and Analysis of Intracellular Cargo Transport

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Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications (CompIMAGE 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8641))

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Abstract

Active intracellular cargo transport is essential to survival and function of eukaryotic cells. How this process is controlled spatially and temporally so that the right cargo is delivered to the right destination at the right time remains poorly understood. To address this question, it is essential to characterize and analyze the molecular machinery and spatiotemporal behavior of intracellular transport. To this end, we developed related computational image models. Specifically, to study the molecular machinery of intracellular transport, we developed anisotropic spatial density kernels for reconstruction and segmentation of related super-resolution STORM (stochastic optical reconstruction microscopy) images. To study the spatiotemporal behavior of intracellular transport, we developed hidden Markov models and principal component analysis for representation and analysis of movement of individual transported cargoes. We validated and benchmarked the image models using simulated and actual experimental images. The models and related computational analysis methods developed in this study are general and can be used for studying molecular machinery and spatiotemporal dynamics of other cellular processes.

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Author information

Authors and Affiliations

  1. Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    Kuan-Chieh Chen, Minhua Qiu, Jelena Kovacevic & Ge Yang

  2. Center for Bioimage Informatics, Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    Kuan-Chieh Chen, Minhua Qiu, Jelena Kovacevic & Ge Yang

  3. Department of Electrical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    Jelena Kovacevic

  4. Genomics Institute of the Novartis Research Foundation, San Diego, CA, 92121, USA

    Minhua Qiu

Authors
  1. Kuan-Chieh Chen
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  2. Minhua Qiu
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  3. Jelena Kovacevic
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  4. Ge Yang
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Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, Carnegie Mellon University, 5000 Forbes Avenue, 15213, Pittsburgh, PA, USA

    Yongjie Jessica Zhang

  2. Faculdade de Engenharia, Departamento de Engenharia Mecânica, Universidade do Porto, Rua Dr. Roberto Frias, S/N, 4200-465, Porto, Portugal

    João Manuel R. S. Tavares

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© 2014 Springer International Publishing Switzerland

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Chen, KC., Qiu, M., Kovacevic, J., Yang, G. (2014). Computational Image Modeling for Characterization and Analysis of Intracellular Cargo Transport. In: Zhang, Y.J., Tavares, J.M.R.S. (eds) Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications. CompIMAGE 2014. Lecture Notes in Computer Science, vol 8641. Springer, Cham. https://doi.org/10.1007/978-3-319-09994-1_30

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  • DOI: https://doi.org/10.1007/978-3-319-09994-1_30

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09993-4

  • Online ISBN: 978-3-319-09994-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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