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...

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Detalles Bibliográficos
Autores principales: Liepe, Juliane, Sim, Aaron, Weavers, Helen, Ward, Laura, Martin, Paul, Stumpf, Michael P.H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2016
Materias:
Tool
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

Internet

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

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