Automating multimodal microscopy with NanoJ-Fluidics

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 hardwa...

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Detalles Bibliográficos
Autores principales: Almada, Pedro, Pereira, Pedro M., Culley, Siân, Caillol, Ghislaine, Boroni-Rueda, Fanny, Dix, Christina L., Charras, Guillaume, Baum, Buzz, Laine, Romain F., Leterrier, Christophe, Henriques, Ricardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420627/
https://www.ncbi.nlm.nih.gov/pubmed/30874553
http://dx.doi.org/10.1038/s41467-019-09231-9
Descripción
Sumario: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.

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