Evidence map›Paper›PMID 31349989›Full record

ArticleBiophysical journal2019

Shear Modulus Measurement by Quantitative Phase Imaging and Correlation with Atomic Force Microscopy.

Will J Eldridge, Silvia Ceballos, Tejank Shah, Han Sang Park, Zachary A Steelman, Stefan Zauscher, Adam Wax

Abstract read
In one paragraph

Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Marangoni effect and cell spreading.European biophysics journal : EBJ · 2022
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
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.

Will J EldridgeDuke University, Department of Biomedical Engineering, Durham, North Carolina. Electronic address: wje4@duke.edu.
Silvia CeballosDuke University, Department of Biomedical Engineering, Durham, North Carolina.
Tejank ShahDuke University, Department of Biomedical Engineering, Durham, North Carolina.
Han Sang ParkDuke University, Department of Biomedical Engineering, Durham, North Carolina.
Zachary A SteelmanDuke University, Department of Biomedical Engineering, Durham, North Carolina.
Stefan ZauscherDuke University, Department of Biomedical Engineering, Durham, North Carolina.
Adam WaxDuke University, Department of Biomedical Engineering, Durham, North Carolina.

Funding

High throughput cell screening for toxic metal exposureR21ES029791 · NIEHS · DUKE UNIVERSITY · PI WAX, ADAM · 2018 to 2019
$403k
NIEHS NIH HHS R21 ES029791
6 · The paper itself

Abstract

Many approaches have been developed to characterize cell elasticity. Among these, atomic force microscopy (AFM) combined with modeling has been widely used to characterize cellular compliance. However, such approaches are often limited by the difficulties associated with using a specific instrument and by the complexity of analyzing the measured data. More recently, quantitative phase imaging (QPI) has been applied to characterize cellular stiffness by using an effective spring constant. This metric was further correlated to mass distribution (disorder strength) within the cell. However, these measurements are difficult to compare to AFM-derived measurements of Young's modulus. Here, we describe, to our knowledge, a new way of analyzing QPI data to directly retrieve the shear modulus. Our approach enables label-free measurement of cellular mechanical properties that can be directly compared to values obtained from other rheological methods. To demonstrate the technique, we measured shear modulus and phase disorder strength using QPI, as well as Young's modulus using AFM, across two breast cancer cell-line populations dosed with three different concentrations of cytochalasin D, an actin-depolymerizing toxin. Comparison of QPI-derived and AFM moduli shows good agreement between the two measures and further agrees with theory. Our results suggest that QPI is a powerful tool for cellular biophysics because it allows for optical quantitative measurements of cell mechanical properties.

Indexed as

Cell ShapeElasticityShear StrengthActin CytoskeletonCell MembraneCytochalasin DHumansMCF-7 CellsMicroscopy, Atomic ForceRheologyCytochalasin D

Identifiers

PMID31349989
PMCPMC6712492

What OpenQuestion holds

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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.