Computational image modeling for characterization and analysis of intracellular cargo transport

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationComputational Modeling of Objects Presented in Images
Subtitle of host publicationFundamentals, Methods, and Applications - 4th International Conference, CompIMAGE 2014, Proceedings
PublisherSpringer Verlag
Pages292-303
Number of pages12
ISBN (Print)9783319099934
DOIs
StatePublished - 2014
Event4th International Conference on Computational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications, CompIMAGE 2014 - Pittsburgh, PA, United States
Duration: Sep 3 2014Sep 5 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8641 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Computational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications, CompIMAGE 2014
CountryUnited States
CityPittsburgh, PA
Period9/3/149/5/14

Keywords

  • STORM imaging
  • hidden Markov model
  • image modeling
  • intracellular transport
  • principal component analysis
  • spatial density estimation
  • spatiotemporal dynamics
  • super-resolution imaging

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Chen, K. C., Qiu, M., Kovacevic, J., & Yang, G. (2014). Computational image modeling for characterization and analysis of intracellular cargo transport. In Computational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications - 4th International Conference, CompIMAGE 2014, Proceedings (pp. 292-303). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8641 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-09994-1_30