Literature DB >> 31349989

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

Will J Eldridge1, Silvia Ceballos2, Tejank Shah2, Han Sang Park2, Zachary A Steelman2, Stefan Zauscher2, Adam Wax2.   

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.
Copyright © 2019 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2019        PMID: 31349989      PMCID: PMC6712492          DOI: 10.1016/j.bpj.2019.07.008

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  56 in total

Review 1.  Micropipette aspiration of living cells.

Authors:  R M Hochmuth
Journal:  J Biomech       Date:  2000-01       Impact factor: 2.712

2.  Measurement of cell microrheology by magnetic twisting cytometry with frequency domain demodulation.

Authors:  M Puig-De-Morales; M Grabulosa; J Alcaraz; J Mullol; G N Maksym; J J Fredberg; D Navajas
Journal:  J Appl Physiol (1985)       Date:  2001-09

3.  Cell and molecular mechanics of biological materials.

Authors:  G Bao; S Suresh
Journal:  Nat Mater       Date:  2003-11       Impact factor: 43.841

4.  Live cell refractometry using microfluidic devices.

Authors:  Niyom Lue; Gabriel Popescu; Takahiro Ikeda; Ramachandra R Dasari; Kamran Badizadegan; Michael S Feld
Journal:  Opt Lett       Date:  2006-09-15       Impact factor: 3.776

5.  Viscoelastic properties of zonal articular chondrocytes measured by atomic force microscopy.

Authors:  E M Darling; S Zauscher; F Guilak
Journal:  Osteoarthritis Cartilage       Date:  2006-02-14       Impact factor: 6.576

6.  Non-Hertzian approach to analyzing mechanical properties of endothelial cells probed by atomic force microscopy.

Authors:  Kevin D Costa; Alan J Sim; Frank C-P Yin
Journal:  J Biomech Eng       Date:  2006-04       Impact factor: 2.097

7.  Interference microscopy and mass determination.

Authors:  R BARER
Journal:  Nature       Date:  1952-03-01       Impact factor: 49.962

8.  Regulation of the actin cytoskeleton in cancer cell migration and invasion.

Authors:  Hideki Yamaguchi; John Condeelis
Journal:  Biochim Biophys Acta       Date:  2006-07-14

Review 9.  Biomechanics and biophysics of cancer cells.

Authors:  Subra Suresh
Journal:  Acta Biomater       Date:  2007-05-30       Impact factor: 8.947

10.  Effects of cytochalasin D and latrunculin B on mechanical properties of cells.

Authors:  T Wakatsuki; B Schwab; N C Thompson; E L Elson
Journal:  J Cell Sci       Date:  2001-03       Impact factor: 5.285

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  4 in total

Review 1.  Marangoni effect and cell spreading.

Authors:  Ivana Pajic-Lijakovic; Milan Milivojevic
Journal:  Eur Biophys J       Date:  2022-08-05       Impact factor: 2.095

2.  Cancer cell viscoelasticity measurement by quantitative phase and flow stress induction.

Authors:  Tomas Vicar; Jiri Chmelik; Jiri Navratil; Radim Kolar; Larisa Chmelikova; Vratislav Cmiel; Jiri Jagos; Ivo Provaznik; Michal Masarik; Jaromir Gumulec
Journal:  Biophys J       Date:  2022-04-04       Impact factor: 3.699

3.  Label-free screening of brain tissue myelin content using phase imaging with computational specificity (PICS).

Authors:  Michael Fanous; Chuqiao Shi; Megan P Caputo; Laurie A Rund; Rodney W Johnson; Tapas Das; Matthew J Kuchan; Nahil Sobh; Gabriel Popescu
Journal:  APL Photonics       Date:  2021-07-12

4.  Cancer-Cell Deep-Learning Classification by Integrating Quantitative-Phase Spatial and Temporal Fluctuations.

Authors:  Shani Ben Baruch; Noa Rotman-Nativ; Alon Baram; Hayit Greenspan; Natan T Shaked
Journal:  Cells       Date:  2021-11-29       Impact factor: 6.600

  4 in total

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