Inferring transient particle transport dynamics in live cells

Inferring transient particle transport dynamics in live cells

Live-cell imaging and particle tracking provide rich information on mechanisms of intracellular transport. However, trajectory analysis procedures to infer complex transport dynamics involving stochastic switching between active transport and diffusive motion are lacking. We applied Bayesian model s...

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Bibliographic Details
Main Authors: Park, Hye Yoon, Katz, Zachary, English, Brian P., Singer, Robert H., Monnier, Nilah, Barry, Zachary Thomas, Su, Kuan-Chung, Dey, Arkajit, Pan, Keyao, Cheeseman, Iain M, Bathe, Mark
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering
Format: Article
Language:en_US
Published: Nature Publishing Group 2017
Online Access:http://hdl.handle.net/1721.1/106511
https://orcid.org/0000-0001-8844-7170
https://orcid.org/0000-0003-4573-5206
https://orcid.org/0000-0002-3829-5612
https://orcid.org/0000-0002-6199-6855

Internet

http://hdl.handle.net/1721.1/106511
https://orcid.org/0000-0001-8844-7170
https://orcid.org/0000-0003-4573-5206
https://orcid.org/0000-0002-3829-5612
https://orcid.org/0000-0002-6199-6855

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