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...
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 |
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Other Authors: | Massachusetts Institute of Technology. Department of Biological Engineering |
Format: | Article |
Language: | en_US |
Published: |
Nature Publishing Group
2017
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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 |
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