3D Bayesian cluster analysis of super-resolution data reveals LAT recruitment to the T cell synapse
Abstract Single-molecule localisation microscopy (SMLM) allows the localisation of fluorophores with a precision of 10–30 nm, revealing the cell’s nanoscale architecture at the molecular level. Recently, SMLM has been extended to 3D, providing a unique insight into cellular machinery. Although clust...
Guardado en:
Autores principales: | Juliette Griffié, Leigh Shlomovich, David J. Williamson, Michael Shannon, Jesse Aaron, Satya Khuon, Garth L. Burn, Lies Boelen, Ruby Peters, Andrew P. Cope, Edward A. K. Cohen, Patrick Rubin-Delanchy, Dylan M. Owen |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/e1603020fe654feab63ef71a07e8c512 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Machine learning for cluster analysis of localization microscopy data
por: David J. Williamson, et al.
Publicado: (2020) -
Tethering of vesicles to the Golgi by GMAP210 controls LAT delivery to the immune synapse
por: Andres Ernesto Zucchetti, et al.
Publicado: (2019) -
Super-resolution spectroscopic microscopy via photon localization
por: Biqin Dong, et al.
Publicado: (2016) -
LATS1 but not LATS2 represses autophagy by a kinase-independent scaffold function
por: Fengyuan Tang, et al.
Publicado: (2019) -
Dziesięć lat „LingVariów”
Publicado: (2015)