ArticleNature communications2019
Automating multimodal microscopy with NanoJ-Fluidics.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
51 citing papers in PubMed.
- Multi-channel automated programmable liquid exchange system enables high-quality sample preparation for super-resolution microscopy.Innovation (Cambridge (Mass.)) · 2026Article
- Smart event-triggered MINFLUX microscopy to catch and follow rare events.Nature communications · 2026Article
- Automated Cyclic Super-Resolution Microscopy for Nanoscale Protein Mapping.bioRxiv : the preprint server for biology · 2026Article
- Review
- Versatile Microfluidics Platform for Enhanced Multitarget Super-Resolution Microscopy.ACS nano · 2026Article
- A flexible framework for automated STED super-resolution microscopy.Scientific reports · 2026Article
- Self-Driving Microscopes: AI Meets Super-Resolution Microscopy.Small methods · 2026Review
- Time-deterministic cryo-optical microscopy.Light, science & applications · 2025Article
- Bridging laboratory innovation to translational research and commercialization of extracellular vesicle isolation and detection.Biosensors & bioelectronics · 2025Review
- Imaging of cellular dynamics from a whole organism to subcellular scale with self-driving, multiscale microscopy.Nature methods · 2025Article
- Microfluidics-based automatic immunofluorescence staining for single-molecule localization microscopy.Biomedical optics express · 2024Article
- The rise of data-driven microscopy powered by machine learning.Journal of microscopy · 2024Article
- Live-cell imaging powered by computation.Nature reviews. Molecular cell biology · 2024Review
- Article
- Article
- Multiplexed and Millimeter-Scale Fluorescence Nanoscopy of Cells and Tissue Sections via Prism-Illumination and Microfluidics-Enhanced DNA-PAINT.Chemical & biomedical imaging · 2023Article
- Live-cell imaging in the deep learning era.Current opinion in cell biology · 2023Review
- Quantitative Analysis of a Pilot Transwell Barrier Model with Automated Sampling and Mathematical Modeling.Pharmaceutics · 2023Article
- Imagining the future of optical microscopy: everything, everywhere, all at once.Communications biology · 2023Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
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.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.