Evidence map›Paper›PMID 30218102›Full record

ArticleNature protocols2018

Mapping heterogeneity of cellular mechanics by multi-harmonic atomic force microscopy.

Yuri M Efremov, Alexander X Cartagena-Rivera, Ahmad I M Athamneh, Daniel M Suter, Arvind Raman

Abstract read
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In one paragraph

Article in Nature protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Article
  3. Incongruous Harmonics of Vibrating Solid-Solid Interface.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  4. Review
  5. Review
  6. Review
  7. Article
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  10. Article
  11. Eukaryotic CRFK Cells Motion Characterized with Atomic Force Microscopy.International journal of molecular sciences · 2022
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
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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

5 authors.

Yuri M EfremovSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, USA.
Alexander X Cartagena-RiveraLaboratory of Cellular Biology, Section on Auditory Mechanics, National Institute on Deafness and Other Communication Disorders, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-6227-2499
Ahmad I M AthamnehBirck Nanotechnology Center, Purdue University, West Lafayette, IN, USA.
Daniel M SuterBirck Nanotechnology Center, Purdue University, West Lafayette, IN, USA.
Arvind RamanSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, USA. raman@purdue.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of mechanobiology is to understand the links between changes in the physical properties of living cells and normal physiology and disease. This requires mechanical measurements that have appropriate spatial and temporal resolution within a single cell. Conventional atomic force microscopy (AFM) methods that acquire force curves pointwise are used to map the heterogeneous mechanical properties of cells. However, the resulting map acquisition time is much longer than that required to study many dynamic cellular processes. Dynamic AFM (dAFM) methods using resonant microcantilevers are compatible with higher-speed, high-resolution scanning; however, they do not directly acquire force curves and they require the conversion of a limited number of instrument observables to local mechanical property maps. We have recently developed a technique that allows commercial AFM systems equipped with direct cantilever excitation to quantitatively map the viscoelastic properties of live cells. The properties can be obtained at several widely spaced frequencies with nanometer-range spatial resolution and with fast image acquisition times (tens of seconds). Here, we describe detailed procedures for quantitative mapping, including sample preparation, AFM calibration, and data analysis. The protocol can be applied to different biological samples, including cells and viruses. The transition from dAFM imaging to quantitative mapping should be easily achievable for experienced AFM users, who will be able to set up the protocol in <30 min.

Indexed as

AnimalsAplysiaBiomechanical PhenomenaBiophysicsCells, CulturedElasticityFibroblastsMiceMicroscopy, Atomic ForceNeuronsNIH 3T3 CellsOptical ImagingViscosity

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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.