Cargando…
A Parallel Distributed-Memory Particle Method Enables Acquisition-Rate Segmentation of Large Fluorescence Microscopy Images
Modern fluorescence microscopy modalities, such as light-sheet microscopy, are capable of acquiring large three-dimensional images at high data rate. This creates a bottleneck in computational processing and analysis of the acquired images, as the rate of acquisition outpaces the speed of processing...
Autores principales: | Afshar, Yaser, Sbalzarini, Ivo F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4821481/ https://www.ncbi.nlm.nih.gov/pubmed/27046144 http://dx.doi.org/10.1371/journal.pone.0152528 |
Ejemplares similares
-
Adaptive particle representation of fluorescence microscopy images
por: Cheeseman, Bevan L., et al.
Publicado: (2018) -
Parallel, distributed and GPU computing technologies in single-particle electron microscopy
por: Schmeisser, Martin, et al.
Publicado: (2009) -
A C++ expression system for partial differential equations enables generic simulations of biological hydrodynamics
por: Singh, Abhinav, et al.
Publicado: (2021) -
Beyond co-localization: inferring spatial interactions between sub-cellular structures from microscopy images
por: Helmuth, Jo A, et al.
Publicado: (2010) -
Design centering enables robustness screening of pattern formation models
por: Solomatina, Anastasia, et al.
Publicado: (2022)