Evidence map›Paper›PMID 42218131›Full record

ArticleNature communications2026

CryoWriter: a robotic solution for improved Cryo-EM grid preparation.

Chinmaya Kv, Babatunde Ekundayo, Marta Di Fabrizio, Inayathulla Mohammed, Julika Radecke, Henning Stahlberg, Massimo Kube

Abstract read
In one paragraph

Article in Nature communications, 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

7 authors.

Chinmaya KvLaboratory of Biological Electron Microscopy, Institute of Physics, School of Basic Sciences, École Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland.
Babatunde EkundayoLaboratory of Biological Electron Microscopy, Institute of Physics, School of Basic Sciences, École Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-0928-4682
Marta Di FabrizioLaboratory of Biological Electron Microscopy, Institute of Physics, School of Basic Sciences, École Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland.
Inayathulla MohammedDubochet Center for Imaging, Lausanne, Genopode (UNIL), EPFL, 1015, Lausanne, Switzerland.
Julika RadeckeLaboratory of Biological Electron Microscopy, Institute of Physics, School of Basic Sciences, École Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-5815-5537
Henning StahlbergLaboratory of Biological Electron Microscopy, Institute of Physics, School of Basic Sciences, École Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland. henning.stahlberg@epfl.ch.ORCID http://orcid.org/0000-0002-1185-4592
Massimo KubeLaboratory of Biological Electron Microscopy, Institute of Physics, School of Basic Sciences, École Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-9264-0499

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) ERC 4D-BioSTEM, 101118656Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 200021_200628
6 · The paper itself

Abstract

Cryo-electron microscopy (cryo-EM) structure determination relies on preparing thin, vitreous films of sample solution on EM grids. Cryo-EM is a mature technology, but preparing the grids remains a major bottleneck. Here, we evaluate the cryoWriter, a blotting-free, microfluidic grid-preparation robot that writes nanoliter volumes onto EM grids in a controlled environment. Using capillary-writing in spiral or line patterns, we prepared high-quality grids from minimal sample volumes and obtained near-atomic reconstructions for test specimens, including TMV, apoferritin, and the membrane protein TRPM4. We further demonstrate programmable deposition modes, such as writing the sample twice to boost particle density, or two-line writing for on-grid mixing to visualize time-resolved protein-ligand binding. In a challenging case (NrS-1 DNA polymerase), the cryoWriter grids exhibited reduced orientation bias relative to conventional blotting, enabling a more isotropic reconstruction. These results show that the cryoWriter provides a versatile platform for reproducible low volume cryo-EM grid preparation and for on-grid biochemical workflows.

Indexed as

Cryoelectron MicroscopyRoboticsSpecimen HandlingApoferritinsApoferritins

Identifiers

PMID42218131
PMCPMC13392361

What OpenQuestion holds

Textmetadata
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.