ArticleHardwareX2026
Open-source CNC workstation for paper-based diagnostic assay assembly.
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.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
Abstract
Paper-based diagnostics are promising for point-of-care testing, but their assembly is often manual and can introduce alignment variability. To address this, we developed a low-cost, open-source workstation that repurposes a three-axis computer numerical control (CNC) machine for automated pick-and-place assembly of paper-based assays. The system integrates an Arduino-based controller with GRBL firmware, a custom vacuum end effector, and component holders to handle delicate assay components. This design eliminates reliance on proprietary CNC controls, reducing the costs to under $900 while enabling machine-agnostic adaptability. Performance was validated across dipstick, lateral flow immunoassay, and custom duplex immunoassay formats. Linear placement accuracy averaged ∼0.5-0.6 mm (within functional tolerance for diagnostic readability), while angular deviations (1-3°) remained acceptable for sample flow. Control line intensity in CNC-assembled assays were statistically indistinguishable from hand-assembled assays, confirming preserved diagnostic performance. By lowering the barrier to automated fabrication, this workstation provides an accessible platform for academic labs, startups, and decentralized environments to prototype and scale paper-based diagnostics. The open-source hardware and design files expand opportunities for reproducible, affordable diagnostic assembly in early-stage research and development.
Indexed as
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.