ReviewLab on a chip2026
Autonomous microfluidic labs: progress and prospects.
Review in Lab on a chip, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Integration of Artificial Intelligence and Microfluidics for Drug Delivery Applications.Micromachines · 2026Review
- Integrating Low-Voltage Microfluidics With On-Chip Electrospray Ionization for Miniaturized Protein Analysis.Small methods · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Global challenges such as climate change, escalating energy demands, and health equity require new scientific innovations able to deliver timely solutions. Self-driving laboratories (SDLs) combine robotics and lab automation with artificial intelligence to efficiently explore complex experimental spaces, reduce human effort, and speed up discovery through intelligent experimentation. Central to this transformation is responsible research acceleration (RRA). This ensures that advances are reproducible, transparent, and resource-efficient, and lays the foundation for sustainable innovation. Microfluidics, with its precise control of heat and mass transfer rates, minimal reagent use, and seamless integration with real-time sensing and automation, represents an ideal platform to embody RRA principles within SDLs. This perspective explores the synergy between microfluidics and autonomous experimentation, highlights key challenges, and proposes strategies for fully autonomous microfluidic workflows. We argue that flow-based platforms are essential to expedite discovery and that stronger academia-industry collaboration is critical in shortening the path from scientific insight to real-world implementation and impact.
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.