High-fidelity robotic PCR amplification

Augustin Cerveaux; Bart van der Schoot; Dainius Kirsnauskas; Ignas Galminas; Jean Gr\'etillat; J\'er\^ome Charmet; Kornelija Kaminskait\.e; Lukas Zemaitis; Martin Jost; Pierre-Yves Burgi

arxiv: 2512.23877 · v3 · submitted 2025-12-29 · 🧬 q-bio.QM

High-fidelity robotic PCR amplification

Vincent Beguin , Jean Gr\'etillat , Kornelija Kaminskait\.e , Simonas Juzenas , Dainius Kirsnauskas , Pierre-Yves Burgi , Samuel Wenger , Valentin Remonnay

show 9 more authors

Silvia Angeloni Bart van der Schoot Augustin Cerveaux Thomas Heinis Renaldas Raisutis Martin Jost Lukas Zemaitis Ignas Galminas J\'er\^ome Charmet

This is my paper

Pith reviewed 2026-05-16 19:28 UTC · model grok-4.3

classification 🧬 q-bio.QM

keywords robotic PCRthermocycling automationDNA amplificationcontamination controlliquid handling roboticsDNA data storagemolecular diagnostics

0 comments

The pith

A robotic liquid handler performs high-fidelity PCR by moving sealed tips through a single oil bath, matching commercial thermocyclers without dedicated hardware.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper demonstrates a robotic PCR system that treats thermocycling as a motion task instead of relying on specialized temperature hardware. By immersing and withdrawing reaction volumes in sealed pipette tips within one stabilized oil bath, it achieves denaturation, annealing, and extension through timed movements. This yields amplification efficiency and sequencing fidelity on par with top commercial devices for DNA-encoded datasets. The approach also cuts consumables use, prevents cross-contamination via physical enclosure, and allows scaling through software scheduling rather than extra machines. It opens paths for automated, low-cost molecular workflows in data storage and diagnostics.

Core claim

The robotic system achieves amplification efficiency and sequencing fidelity comparable to high-performance commercial thermocyclers when applied to DNA-encoded datasets by executing PCR entirely within sealed pipette tips through repeated immersion and withdrawal in a single temperature-stabilized oil bath. This motion-controlled architecture eliminates conventional thermocyclers, enables fully enclosed reactions with complete sample recovery, minimizes consumables, suppresses contamination, and supports parallelization via robotic scheduling.

What carries the argument

Programmable robotic liquid handler executing sealed-tip immersion and withdrawal in a single oil bath for precise thermal cycling

Load-bearing premise

Precise control of the timing and depth of pipette tip movements in the oil bath can consistently produce the required temperature changes for denaturation, annealing, and extension without extra sensors or adjustments.

What would settle it

A side-by-side experiment comparing the robotic system's product yield and sequencing error rates on a standard DNA template against a commercial thermocycler; failure to match within experimental error would disprove performance parity.

Figures

Figures reproduced from arXiv: 2512.23877 by Augustin Cerveaux, Bart van der Schoot, Dainius Kirsnauskas, Ignas Galminas, Jean Gr\'etillat, J\'er\^ome Charmet, Kornelija Kaminskait\.e, Lukas Zemaitis, Martin Jost, Pierre-Yves Burgi, Renaldas Raisutis, Samuel Wenger, Silvia Angeloni, Simonas Juzenas, Thomas Heinis, Valentin Remonnay, Vincent Beguin.

**Figure 3.** Figure 3: Time distribution around target temperatures (red line) for PCRobot (a) and thermocycler (b) over 5 cycles. Counts were normalized to account for different sampling rates. Each histogram spans ±2 °C around the setpoint (red vertical line), divided into 12 bins. Amplification efficiency comparable to commercial thermocycler. We compared the amplification results of the PCRobot to a commercial thermocycler, … view at source ↗

read the original abstract

Polymerase chain reaction (PCR) underpins modern molecular biology, yet its deployment in emerging domains such as DNA data storage and distributed diagnostics remains constrained by bulky thermocyclers, complex thermal hardware, and contamination-prone workflows. Here, we present an autonomous robotic PCR platform that redefines thermocycling as a motion-controlled process rather than a temperature-controlled device. The system employs a programmable robotic liquid handler to execute PCR entirely within sealed pipette tips, repeatedly immersing and withdrawing reaction volumes in a single temperature-stabilized oil bath to realize denaturation, annealing, and extension steps through precise spatiotemporal control. This architecture eliminates conventional thermocyclers and enables fully enclosed reactions with complete sample recovery. We demonstrate that the robotic system achieves amplification efficiency and sequencing fidelity comparable to high-performance commercial thermocyclers when applied to DNA-encoded datasets. Beyond performance parity, the platform minimizes consumables consumption, suppresses cross-contamination through physical isolation, and supports parallelization through robotic scheduling rather than hardware duplication. Structural contamination control is demonstrated through sealed-tip confinement, validated by no-template control experiments under deliberate challenge conditions. By abstracting PCR thermocycling into a robotically orchestrated manipulation task, this work establishes a generalizable framework for automated biochemical processing and positions robotic control as a central design axis for scalable, low-cost molecular workflows.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Desk Editor's Note private letter to a colleague

The robotic PCR setup using sealed tip immersion in one oil bath is a practical hardware simplification with solid contamination controls, but the performance parity claim lacks direct thermal data to confirm the temperature cycles actually work as assumed.

read the letter

The core contribution is a robotic PCR architecture that turns temperature cycling into a motion task: a liquid handler repeatedly dips and withdraws sealed pipette tips containing the reaction mix into a single temperature-stabilized oil bath. By controlling immersion depth and timing, the system aims to deliver the denaturation, annealing, and extension steps without any traditional thermocycler hardware. They test it on DNA-encoded datasets and report amplification efficiency plus sequencing fidelity comparable to commercial machines, backed by no-template controls that demonstrate effective physical isolation against cross-contamination. The sealed-tip format also allows full sample recovery and reduces consumables use, which matters for scalable applications like DNA data storage or distributed diagnostics. This motion-based approach is genuinely new in the way it abstracts thermocycling into robotic scheduling rather than duplicated thermal hardware. The contamination results look credible given the deliberate challenge conditions described. The soft spot is the missing thermal validation. The abstract and stress-test note give no in-tip temperature traces, micro-thermocouple readings, or finite-element models showing that the immersion/withdrawal cycles actually produce the required rapid transitions around 95 °C, 55–60 °C, and 72 °C inside the sealed volume. Without that data, the efficiency claims rest on an unverified assumption about spatiotemporal control alone. If the full paper includes those measurements, the work strengthens considerably; otherwise the central performance argument stays plausible but unproven. This paper is for engineers and labs working on automated molecular workflows or DNA technologies. A reader building practical systems would get concrete ideas from the architecture and contamination strategy. I would send it for peer review—the idea is fresh enough and the experimental framing thoughtful enough that referees can usefully tighten the thermal characterization and assess reproducibility.

Referee Report

2 major / 2 minor

Summary. The manuscript describes an autonomous robotic PCR platform that executes amplification reactions entirely within sealed pipette tips by repeatedly immersing and withdrawing the reaction volumes in a single temperature-stabilized oil bath, thereby realizing denaturation, annealing, and extension steps through spatiotemporal motion control rather than dedicated thermal hardware. It claims that this system achieves amplification efficiency and sequencing fidelity comparable to high-performance commercial thermocyclers when applied to DNA-encoded datasets, while also demonstrating structural contamination control via sealed-tip confinement and no-template controls.

Significance. If the performance parity holds under rigorous validation, the work would provide a hardware-minimal, parallelizable, and contamination-resistant alternative to conventional thermocyclers, with direct relevance to scalable DNA data storage and distributed diagnostics.

major comments (2)

[Abstract and Results] Abstract and experimental validation sections: the claim that the robotic system achieves 'amplification efficiency and sequencing fidelity comparable to high-performance commercial thermocyclers' is load-bearing for the central contribution, yet the manuscript provides no quantitative metrics (e.g., amplification yields with error bars, Cq values, or sequencing error rates), no in-tip temperature traces, and no finite-element thermal modeling to confirm that the immersion/withdrawal cycles actually produce the required rapid transitions through ~95 °C (denaturation), ~55–60 °C (annealing), and ~72 °C (extension).
[Methods] Methods and thermal-control description: the architecture assumes that precise spatiotemporal control of tip immersion in a single oil bath suffices to generate standard PCR thermal profiles without additional calibration hardware, but no micro-thermocouple data, thermal-lag characterization, or calibration curves are reported to substantiate this assumption.

minor comments (2)

[Methods] Clarify the exact oil-bath set-point temperatures and the precise immersion/withdrawal timing schedule used for each PCR phase.
[Results] Add a figure or table directly comparing key performance metrics (yield, fidelity, contamination rates) against the commercial thermocycler baseline.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their constructive feedback on our manuscript describing the high-fidelity robotic PCR amplification system. We address each major comment below and indicate the revisions we will make to strengthen the manuscript.

read point-by-point responses

Referee: [Abstract and Results] Abstract and experimental validation sections: the claim that the robotic system achieves 'amplification efficiency and sequencing fidelity comparable to high-performance commercial thermocyclers' is load-bearing for the central contribution, yet the manuscript provides no quantitative metrics (e.g., amplification yields with error bars, Cq values, or sequencing error rates), no in-tip temperature traces, and no finite-element thermal modeling to confirm that the immersion/withdrawal cycles actually produce the required rapid transitions through ~95 °C (denaturation), ~55–60 °C (annealing), and ~72 °C (extension).

Authors: We appreciate the referee's emphasis on rigorous quantitative validation. The manuscript reports successful PCR amplification and high-fidelity sequencing outcomes for DNA-encoded datasets, with comparisons to commercial thermocyclers shown via gel images and sequencing results. However, to directly address the concern, we will add quantitative metrics including amplification yields with error bars from replicate experiments, Cq values, and sequencing error rates in the revised Results section. Furthermore, we will include in-tip temperature traces measured using micro-thermocouples and finite-element thermal modeling of the immersion cycles to confirm the thermal profiles. These revisions will be made to provide explicit evidence for the claimed performance parity. revision: yes
Referee: [Methods] Methods and thermal-control description: the architecture assumes that precise spatiotemporal control of tip immersion in a single oil bath suffices to generate standard PCR thermal profiles without additional calibration hardware, but no micro-thermocouple data, thermal-lag characterization, or calibration curves are reported to substantiate this assumption.

Authors: We agree that additional details on thermal control are necessary to fully substantiate the method. The current description focuses on the robotic parameters and bath temperature, but we will expand the Methods section to include micro-thermocouple data from within the sealed tips, characterization of thermal lag during immersion and withdrawal, and calibration curves relating motion parameters to achieved temperatures. This will demonstrate that the spatiotemporal control reliably produces the required thermal transitions without dedicated hardware. revision: yes

Circularity Check

0 steps flagged

No significant circularity; experimental demonstration only

full rationale

The manuscript contains no mathematical derivations, equations, parameter fittings, or predictive models. All claims rest on direct experimental comparisons (amplification efficiency, sequencing fidelity, no-template controls) against commercial thermocyclers, with results presented as empirical outcomes rather than outputs derived from prior steps within the paper. No self-citations, ansatzes, or uniqueness theorems are invoked to justify core results. The architecture is described procedurally; performance parity is attributed to observed data, not to any reduction by construction. This is a standard self-contained experimental report with no load-bearing circular steps.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central claim rests on standard PCR biochemistry and the assumption that robotic motion can substitute for thermal hardware. No free parameters or invented entities are introduced in the abstract.

axioms (1)

domain assumption PCR requires repeated cycles of specific temperatures for denaturation, annealing, and extension to achieve amplification.
Invoked implicitly as the basis for the motion-controlled temperature steps.

pith-pipeline@v0.9.0 · 5608 in / 1343 out tokens · 36592 ms · 2026-05-16T19:28:47.077813+00:00 · methodology

discussion (0)

Reference graph

Works this paper leans on

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https://olos.swiss/

OLOS: The Swiss solution for managing research data. https://olos.swiss/. Supplementary Materials: High-fidelity robotic PCR amplification Vincent Beguin1,*, Jean Grétillat2,*, Kornelija Kaminskaitė3, Simonas Juzenas3, Dainius Kirsnauskas 3, Pierre-Yves Burgi4, Samuel Wenger1, Valentin Remonnay1, Silvia Angeloni1, Patrick Neuenschwander1, Bart van der Sch...

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School of Engineering−HE‐Arc Ingénierie, HES‐SO University of Applied Sciences Western Switzerland, Neuchâtel, Switzerland

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School of Precision and Biomedical Engineering, University of Bern, Bern, Switzerland

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Department of DNA data storage, Genomika, Kaunas, Lithuania

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IT Department, University of Geneva, Geneva, Switzerland

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Seyonic SA, Neuchâtel, Switzerland

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Department of Computing, Imperial College London, London, United Kingdom

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Ultrasound Research Institute, Kaunas University of Technology, Kaunas, Lithuania

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MABEAL GmbH, Graz, Austria

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3-bath PCRobot

Warwick Medical School, University of Warwick, Coventry, United Kingdom * the authors contributed equally to the work. 3-bath PCRobot. Early implementations of the PCRobot relied on 3-bath container heated to the desired temperature plateaus, using hot plates (Figure S1). The Seyonic pipettor single head , attached to a 3-axis positioning system (OMNI UNI...

work page

[1] [1]

& Rydning, J

Reinsel, D., Gantz, J. & Rydning, J. The Digitization of the World - From Edge to Core. IDC White Paper. IDC White Paper 20, 3 (2018)

work page 2018

[2] [2]

M., Gao, Y

Church, G. M., Gao, Y . & Kosuri, S. Next-generation digital information storage in DNA. Science (1979) 337, 1628 (2012)

work page 1979

[3] [3]

Goldman, N. et al. Towards practical, high-capacity, low-maintenance information storage in synthesized DNA. Nature 2013 494:7435 494, 77–80 (2013)

work page 2013

[4] [4]

N., Heckel, R., Puddu, M., Paunescu, D

Grass, R. N., Heckel, R., Puddu, M., Paunescu, D. & Stark, W. J. Robust chemical preservation of digital information on DNA in silica with error -correcting codes. Angewandte Chemie ‐ International Edition 54, 2552–2555 (2015)

work page 2015

[5] [5]

Organick, L. et al. Random access in large-scale DNA data storage. Nat Biotechnol 36, 242–248 (2018)

work page 2018

[6] [6]

& Strauss, K

Ceze, L., Nivala, J. & Strauss, K. Molecular digital data storage using DNA. Nature Reviews Genetics 2019 20:8 20, 456–466 (2019)

work page 2019

[7] [7]

Antkowiak, P . L. et al. Low cost DNA data storage using photolithographic synthesis and advanced information reconstruction and error correction. Nat Commun 11, 5345- (2020)

work page 2020

[8] [8]

Žemaitis, L. et al. High-performance protocol for ultra -short DNA sequencing using Oxford Nanopore Technology (ONT). PLoS One 20, e0318040 (2025)

work page 2025

[9] [9]

Chen, Y . J. et al. Quantifying molecular bias in DNA data storage. Nature Communications 2020 11:1 11, 3264- (2020)

work page 2020

[10] [10]

H., Hawkins, J

Press, W. H., Hawkins, J. A., Schaub, J. M., Schaub, J. M. & Finkelstein, I. J. HEDGES error - correcting code for DNA storage corrects indels and allows sequence constraints. Proc Natl Acad Sci U S A 117, 18489–18496 (2020)

work page 2020

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Mullis, K. B. The unusual origin of the polymerase chain reaction. Sci Am 262, (1990)

work page 1990

[12] [12]

Saiki, R. K. et al. Enzymatic amplification of β-globin genomic sequences and restriction site analysis for diagnosis of sickle cell anemia. Science (1979) 230, (1985)

work page 1979

[13] [13]

Cheng, J. et al. Implementation of Rapid Nucleic Acid Amplification Based on the Super Large Thermoelectric Cooler Rapid Temperature Rise and Fall Heating Module. Biosensors 2024, Vol. 14, Page 379 14, 379 (2024)

work page 2024

[14] [14]

T., Fillmore, G

Wittwer, C. T., Fillmore, G. C. & Hillyard, D. R. Automated polymerase chain reaction in capillary tubes with hot air. Nucleic Acids Res 17, (1989)

work page 1989

[15] [15]

D., Manz, A

Ahrberg, C. D., Manz, A. & Chung, B. G. Polymerase chain reaction in microfluidic devices. Lab Chip 16, (2016)

work page 2016

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& Ozdemir, P

Zhang, Y . & Ozdemir, P . Microfluidic DNA amplification-A review. Anal Chim Acta 638, 115–125 (2009)

work page 2009

[17] [17]

& Knowles, T

Charmet, J., Arosio, P . & Knowles, T. P . J. Microfluidics for Protein Biophysics. J Mol Biol 430, 565– 580 (2018)

work page 2018

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Huggett, J. F. et al. The digital MIQE guidelines: Minimum information for publication of quantitative digital PCR experiments. Clin Chem 59, (2013)

work page 2013

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Hindson, B. J. et al. High-throughput droplet digital PCR system for absolute quantitation of DNA copy number. Anal Chem 83, (2011)

work page 2011

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Basu, A. S. Digital Assays Part I: Partitioning Statistics and Digital PCR. SLAS Technology vol. 22 Preprint at https://doi.org/10.1177/2472630317705680 (2017)

work page doi:10.1177/2472630317705680 2017

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Whitesides, G. M. The origins and the future of microfluidics. Nature vol. 442 Preprint at https://doi.org/10.1038/nature05058 (2006)

work page doi:10.1038/nature05058 2006

[22] [22]

Squires, T. M. & Quake, S. R. Microfluidics: Fluid physics at the nanoliter scale. Rev Mod Phys 77, (2005)

work page 2005

[23] [23]

https://opentrons.com/robots/ot-2#resources

OT-2 Liquid Handler | Opentrons Lab Automation from $10,000 | Opentrons. https://opentrons.com/robots/ot-2#resources

work page

[24] [24]

T., Wang, E

Bajar, B. T., Wang, E. S., Zhang, S., Lin, M. Z. & Chu, J. A guide to fluorescent protein FRET pairs. Sensors (Switzerland) vol. 16 Preprint at https://doi.org/10.3390/s16091488 (2016)

work page doi:10.3390/s16091488 2016

[25] [25]

C., Iwai, K., Kim, P

Gach, P . C., Iwai, K., Kim, P . W., Hillson, N. J. & Singh, A. K. Droplet microfluidics for synthetic biology. Lab on a Chip vol. 17 Preprint at https://doi.org/10.1039/c7lc00576h (2017)

work page doi:10.1039/c7lc00576h 2017

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& Mareš, R

Kalová, J. & Mareš, R. The temperature dependence of the surface tension of water. AIP Conf Proc 2047, 20007 (2018)

work page 2047

[27] [27]

Mayer, S. W. Dependence of Surface Tension on Temperature. J Chem Phys 38, 1803 –1808 (1963)

work page 1963

[28] [28]

& Mareš, R

Kalová, J. & Mareš, R. Temperature Dependence of the Surface Tension of Water, Including the Supercooled Region. International Journal of Thermophysics 2022 43:10 43, 154- (2022)

work page 2022

[29] [29]

& Millero, F

Korson, L., Drost-Hansen, W. & Millero, F. J. Viscosity of water at various temperatures. Journal of Physical Chemistry 73, 34–39 (2002)

work page 2002

[30] [30]

https://dnamic.org/

DNAMIC: DNA Microfactory for Data Archiving | EU Project. https://dnamic.org/

work page

[31] [31]

https://olos.swiss/

OLOS: The Swiss solution for managing research data. https://olos.swiss/. Supplementary Materials: High-fidelity robotic PCR amplification Vincent Beguin1,*, Jean Grétillat2,*, Kornelija Kaminskaitė3, Simonas Juzenas3, Dainius Kirsnauskas 3, Pierre-Yves Burgi4, Samuel Wenger1, Valentin Remonnay1, Silvia Angeloni1, Patrick Neuenschwander1, Bart van der Sch...

work page

[32] [32]

School of Engineering−HE‐Arc Ingénierie, HES‐SO University of Applied Sciences Western Switzerland, Neuchâtel, Switzerland

work page

[33] [33]

School of Precision and Biomedical Engineering, University of Bern, Bern, Switzerland

work page

[34] [34]

Department of DNA data storage, Genomika, Kaunas, Lithuania

work page

[35] [35]

IT Department, University of Geneva, Geneva, Switzerland

work page

[36] [36]

Seyonic SA, Neuchâtel, Switzerland

work page

[37] [37]

Department of Computing, Imperial College London, London, United Kingdom

work page

[38] [38]

Ultrasound Research Institute, Kaunas University of Technology, Kaunas, Lithuania

work page

[39] [39]

MABEAL GmbH, Graz, Austria

work page

[40] [40]

3-bath PCRobot

Warwick Medical School, University of Warwick, Coventry, United Kingdom * the authors contributed equally to the work. 3-bath PCRobot. Early implementations of the PCRobot relied on 3-bath container heated to the desired temperature plateaus, using hot plates (Figure S1). The Seyonic pipettor single head , attached to a 3-axis positioning system (OMNI UNI...

work page