LLAMA: a robust and scalable machine learning pipeline for analysis of large scale 4D microscopy data: analysis of cell ruffles and filopodia

BACKGROUND: With recent advances in microscopy, recordings of cell behaviour can result in terabyte-size datasets. The lattice light sheet microscope (LLSM) images cells at high speed and high 3D resolution, accumulating data at 100 frames/second over hours, presenting a major challenge for interrog...

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Detalles Bibliográficos
Autores principales: Lefevre, James G., Koh, Yvette W. H., Wall, Adam A., Condon, Nicholas D., Stow, Jennifer L., Hamilton, Nicholas A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8375126/
https://www.ncbi.nlm.nih.gov/pubmed/34412593
http://dx.doi.org/10.1186/s12859-021-04324-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8375126/
https://www.ncbi.nlm.nih.gov/pubmed/34412593
http://dx.doi.org/10.1186/s12859-021-04324-z

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