Automating multimodal microscopy with NanoJ-Fluidics

被引：67

作者：

Almada, Pedro ^{[1
,2
]}

Pereira, Pedro M. ^{[1
,2
,3
]}

Cuiley, Sian ^{[1
,2
,3
]}

Caillol, Ghislaine ^{[4
]}

Boroni-Rueda, Fanny ^{[4
]}

Dix, Christina L. ^{[1
]}

Charras, Guillaume ^{[5
,6
]}

Baum, Buzz ^{[1
,6
]}

Laine, Romain F. ^{[1
,3
]}

Leterrier, Christophe ^{[4
]}

Henriques, Ricardo ^{[1
,2
,3
]}

机构：

[1] UCL, MRC Lab Mol Cell Biol, London WC1E 6BT, England

[2] UCL, Dept Cell & Dev Biol, London WC1E 6BT, England

[3] Francis Crick Inst, London NW1 1AT, England

[4] Aix Marseille Univ, CNRS, INP UMR7051, NeuroCyto, F-13015 Marseille, France

[5] London Ctr Nanotechnol, London WC1H 0AH, England

[6] UCL, Inst Phys Living Syst, London WC1E 6BT, England

来源：

NATURE COMMUNICATIONS | 2019年 / 10卷 / 1期

基金：

英国医学研究理事会; 英国生物技术与生命科学研究理事会; 英国惠康基金;

关键词：

SUPERRESOLUTION MICROSCOPY; IMAGE; ARCHITECTURE; REVEALS; BINDING; PROBES; PAINT;

D O I：

10.1038/s41467-019-09231-9

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：9

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