Automating multimodal microscopy with NanoJ-Fluidics - Archive ouverte HAL Access content directly
Journal Articles Nature Communications Year : 2019

Automating multimodal microscopy with NanoJ-Fluidics

Pedro Almada
  • Function : Author
Pedro M. Pereira
  • Function : Author
  • PersonId : 986709
Siân Culley
  • Function : Author
Christina L Dix
  • Function : Author
Buzz Baum
  • Function : Author
  • PersonId : 911462
Romain F Laine
  • Function : Author
  • PersonId : 1044323
Ricardo Henriques
  • Function : Author

Abstract

Combining and multiplexing microscopy approaches is crucial to understand cellular events, but requires elaborate workflows. Here, we present a robust, open-source approach for treating, labelling and imaging live or fixed cells in automated sequences. NanoJ-Fluidics is based on low-cost Lego hardware controlled by ImageJ-based software, making high-content, multimodal imaging easy to implement on any microscope with high reproducibility. We demonstrate its capacity on event-driven, super-resolved live-to-fixed and multiplexed STORM/DNA-PAINT experiments.

Domains

Neurobiology
Fichier principal
Vignette du fichier
2019_Nat Commun_Almada.pdf (4.9 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02073341 , version 1 (19-03-2019)

Identifiers

Cite

Pedro Almada, Pedro M. Pereira, Siân Culley, Ghislaine Caillol, Fanny Boroni-Rueda, et al.. Automating multimodal microscopy with NanoJ-Fluidics. Nature Communications, 2019, 10 (1), pp.1223. ⟨10.1038/s41467-019-09231-9⟩. ⟨hal-02073341⟩
105 View
60 Download

Altmetric

Share

Gmail Facebook X LinkedIn More