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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cell Press
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4963212/ https://www.ncbi.nlm.nih.gov/pubmed/27453447 http://dx.doi.org/10.1016/j.cels.2016.06.002 |