Evidence map›Paper›PMID 41704539›Full record

ArticleHardwareX2026

Foehn: An open-hardware asynchronous scheduling hub for high-throughput liquid-handling workflow.

Yueyang Gao, Jacob Danks, Simon Dawes, Maximilian O Besenhard

Abstract read
In one paragraph

Article in HardwareX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yueyang GaoDepartment of Chemical Engineering, University College London, London WC1E 7JE, UK.
Jacob DanksDepartment of Chemical Engineering, University College London, London WC1E 7JE, UK.
Simon DawesDepartment of Biochemical Engineering, University College London, London WC1E 7JE, UK.
Maximilian O BesenhardDepartment of Chemical Engineering, University College London, London WC1E 7JE, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growing demand for complex and efficient high-throughput experimentation is accelerating laboratory automation, yet liquid-handling robots, which are central to these workflows, remain constrained by sequential operations that limit scalability. To address this bottleneck, an asynchronous scheduling hub system, named Foehn, was developed to enable concurrent and coordinated control of multiple experimental modules within a robotic workstation. The Foehn integrates open-source hardware based on the Arduino microcontroller with a Python-based graphical user interface, forming a flexible and cost-effective control architecture. Besides, it enables asynchronous, multi-threaded operation through standardized serial protocols, managing communication between the liquid-handling robot and peripheral modules such as pumps and magnetic stirrers. Validation tests confirmed stable voltage output from H-bridge drivers, achieving a high pulse-width modulation control efficiency of 87.6%. The integrated Foehn system successfully executed concurrent pumping and stirring tasks while the liquid-handling robot performed pipetting and labware-moving, demonstrating excellent synchronization and operational stability across hardware layers. Combining modular design, open-source accessibility, and precise digital control, the Foehn system provides a scalable foundation for high-throughput automation and holds strong potential to accelerate research in chemistry, biology, and materials science by bridging benchtop setups with next-generation robotic laboratories.

Indexed as

Asynchronous operationHigh-throughput experimentationLab automationLiquid handling robots

Identifiers

PMID41704539
PMCPMC12907666

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.