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

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

Abstract 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...

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Bibliographic Details
Main Authors: James G. Lefevre, Yvette W. H. Koh, Adam A. Wall, Nicholas D. Condon, Jennifer L. Stow, Nicholas A. Hamilton
Format: Article
Language:English
Published: BMC 2021-08-01
Series:BMC Bioinformatics
Subjects:
Machine learning
Semantic segmentation
High performance computing
Object detection and tracking
Macrophage
Ruffles
Online Access:https://doi.org/10.1186/s12859-021-04324-z

Internet

https://doi.org/10.1186/s12859-021-04324-z

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