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Accurate Reconstruction of Cell and Particle Tracks from 3D Live Imaging Data
Spatial structures often constrain the 3D movement of cells or particles in vivo, yet this information is obscured when microscopy data are analyzed using standard approaches. Here, we present methods, called unwrapping and Riemannian manifold learning, for mapping particle-tracking data along unsee...
Gespeichert in:
Veröffentlicht in: | Cell Syst |
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Hauptverfasser: | , , , , , |
Format: | Artigo |
Sprache: | Inglês |
Veröffentlicht: |
Cell Press
2016
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Schlagworte: | |
Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4963212/ https://ncbi.nlm.nih.gov/pubmed/27453447 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cels.2016.06.002 |
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