Evidence map›Paper›PMID 41271756›Full record

ArticleNature communications2025

A high signal-to-noise ratio and high-frequency seesaw cantilever for high-speed atomic force microscopy.

Linlin Li, Atsushi Miyagi, Simon Scheuring

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

3 authors.

Linlin LiWeill Cornell Medicine, Department of Anesthesiology, New York, NY, USA.ORCID http://orcid.org/0000-0001-6093-5842
Atsushi MiyagiWeill Cornell Medicine, Department of Anesthesiology, New York, NY, USA.
Simon ScheuringWeill Cornell Medicine, Department of Anesthesiology, New York, NY, USA. sis2019@med.cornell.edu.ORCID http://orcid.org/0000-0003-3534-069X

Funding

High-speed atomic force microscopy with microsecond time resolution for the study of channels and transportersR01NS110790 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI Simon Scheuring · 2019 to 2026
$2.4M
Structure and Function of a Pentameric TRPV3 ChannelR01NS134559 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI Simon Scheuring · 2024 to 2026
$1.8M
NINDS NIH HHS R01 NS110790NINDS NIH HHS R01 NS134559U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R01NS110790U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R01NS134559
6 · The paper itself

Abstract

The cantilever mediates tip-sample interaction detection in all atomic force microscopes (AFMs). Canonical cantilevers are beams, where length, width, and thickness define the physical properties such as stiffness and resonant frequency, that also mediate laser-reflection to report on cantilever deflection. High-speed AFM (HS-AFM) demands miniaturized cantilevers that are soft and fast, but miniaturized beams reduce laser signal quality. Here, we present a seesaw cantilever with a rigid reflective board oscillating over torsional hinges separating the laser-reflective and mechanical functions. Finite element analysis verified the seesaw mechanism. The board can be optimized for laser-reflection and the shortened distance between tip and hinges enhances the angular sensitivity, while the stiffness is tunable via the hinge dimensions. We detail seesaw cantilever design, fabrication, tip addition, physical equations, and sub-molecular imaging of biological samples. We propose that seesaw cantilevers offer a promising alternative to traditional beam cantilevers for diverse AFM applications.

Identifiers

PMID41271756
PMCPMC12639161

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Registered trials

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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.