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.
%0 Journal Article
%1 Almada2019
%A Almada, Pedro
%A Pereira, Pedro M.
%A Culley, Siân
%A Caillol, Ghislaine
%A Boroni-Rueda, Fanny
%A Dix, Christina L.
%A Charras, Guillaume
%A Baum, Buzz
%A Laine, Romain F.
%A Leterrier, Christophe
%A Henriques, Ricardo
%D 2019
%J Nature Communications
%K automated exchange multicolor multiplexing paint pumpy sequential superresolution team
%N 1
%R 10.1038/s41467-019-09231-9
%T Automating multimodal microscopy with NanoJ-Fluidics
%U https://doi.org/10.1038/s41467-019-09231-9
%V 10
%X 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.
@article{Almada2019,
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.},
added-at = {2020-03-23T21:12:34.000+0100},
author = {Almada, Pedro and Pereira, Pedro M. and Culley, Si{\^{a}}n and Caillol, Ghislaine and Boroni-Rueda, Fanny and Dix, Christina L. and Charras, Guillaume and Baum, Buzz and Laine, Romain F. and Leterrier, Christophe and Henriques, Ricardo},
biburl = {https://www.bibsonomy.org/bibtex/2f78ce9a402b71a066cc68f4fcdeec2c3/kfriedl},
doi = {10.1038/s41467-019-09231-9},
file = {:C$\backslash$:/Users/Karoline/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Almada et al. - Unknown - Automating multimodal microscopy with NanoJ-Fluidics.pdf:pdf},
interhash = {e3e88f5a8651433fc679a2cd9a210987},
intrahash = {f78ce9a402b71a066cc68f4fcdeec2c3},
issn = {20411723},
journal = {Nature Communications},
keywords = {automated exchange multicolor multiplexing paint pumpy sequential superresolution team},
number = 1,
timestamp = {2020-04-07T11:02:24.000+0200},
title = {{Automating multimodal microscopy with NanoJ-Fluidics}},
url = {https://doi.org/10.1038/s41467-019-09231-9},
volume = 10,
year = 2019
}