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Biomechanics of subcellular structures by non-invasive Brillouin microscopy

Giuseppe Antonacci, Sietse Braakman

Scientific Reports · 2016 · CC BY

doi:10.1038/srep37217

Abstract

Cellular biomechanics play a pivotal role in the pathophysiology of several diseases. Unfortunately, current methods to measure biomechanical properties are invasive and mostly limited to the surface of a cell. As a result, the mechanical behaviour of subcellular structures and organelles remains poorly characterised. Here, we show three-dimensional biomechanical images of single cells obtained with non-invasive, non-destructive Brillouin microscopy with an unprecedented spatial resolution. Our results quantify the longitudinal elastic modulus of subcellular structures. In particular, we found the nucleoli to be stiffer than both the nuclear envelope (p < 0.0001) and the surrounding cytoplasm (p < 0.0001). Moreover, we demonstrate the mechanical response of cells to Latrunculin-A , a drug that reduces cell stiffness by preventing cytoskeletal assembly. Our technique can therefore generate valuable insights into cellular biomechanics and its role in pathophysiology.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 26, 2026. Paragraph numbers are ours, so an answer can point at one.

The biomechanical behaviour of cells is implied to be extensively involved in the development of diseases such as atherosclerosis, cancer and glaucoma. In these diseases, changes in cellular stiffness and/or contractility coincide with the onset of the disease. In atherosclerosis, disturbed and oscillatory wall shear stress coincide with plaque formation at arterial branch points through a process that is mediated by the shear-sensitive endothelial cells that line the artery. In glaucoma, increased endothelial stiffness is associated with increased outflow resistance and intraocular pressure, which can lead to blindness. In breast cancer, malignant human breast epithelial cells exhibited a significantly reduced apparent stiffness compared to their non-cancerous counterparts, potentially aiding cell migration in metastasis. However, our understanding of how molecular and subcellular components contribute to cell stiffness and how cellular mechanical properties contribute to the pathogenesis of these diseases remains limited. A new field of nano-biomechanics is now emerging to better understand subcellular mechanics.

One factor that currently limits progress in the field of nano-biomechanics is the methods available to measure the mechanical properties of cells. Atomic force microscopy (AFM) is currently the gold standard with a resolution in biologic samples down to nanometer scales. However, AFM is invasive because it involves nanoindentation, which could invoke a cellular reaction. Moreover, AFM cannot probe inside the cell because it is limited to surface topologies of cells cultured on 2D flat substrates. Other techniques, such as optical tweezers, deformability cytometry, and micropipette aspiration, measure cellular deformation by applying shear stresses or pressure gradients in suspension, which renders these techniques both invasive and subject to strong non-linear effects. By contrast, standard non-invasive elastography techniques, such as ultrasound and magnetic resonance imaging, are inherently limited by a low spatial resolution.

To overcome these limitations, we present Brillouin microscopy as a method to non-invasively and non-destructively assess intracellular stiffness with a submicron resolution. Confocal Brillouin microscopy uses light to yield three-dimensional mechanical images by probing local spontaneous acoustic waves propagating along the sample, therefore with no contact and label requirements. The high-frequency longitudinal elastic modulus (M′) of a viscoelastic material is obtained by measuring the frequency shift of the light scattered inelastically by local spontaneous acoustic waves (see Methods). Up to now, Brillouin microscopy has been used to characterise the biomechanical properties of the lens cornea; to quantify plaque stiffness in atherosclerosis; to screen bacterial meningitis; and to assess cytoskeleton stiffening. Spectral broadening arising from the collection of photons by high numerical aperture (NA) lenses had limited the technique to a low spatial resolution. Nevertheless, a recent study has shown that the broadening is minimised in the backscattering geometry, therefore suggesting the potential use of high NA (>0.5) optics. In this work, we obtained an unprecedented submicron spatial resolution to enable the mechanical characterisation of individual subcellular structures using a custom-built confocal Brillouin microscope.

Validation of confocal Brillouin microscopy

The gigahertz frequency domain associated with the spontaneous acoustic phonons results in a higher elastic modulus than the Young’s modulus (E) obtained by standard quasi-static methods that use, for example, AFM and rheometer configurations. While the longitudinal elastic modulus measures the ratio of an applied uniaxial stress to the material strain assuming a confined displacement along the longitudinal direction, the Young’s modulus measures the stress-strain ratio by taking into account displacements also in the other directions. Moreover, the compressibility of materials is differently considered by the two moduli. As a result, the longitudinal modulus and the Young’s elastic modulus are different and cannot be easily related.

To show that changes in the longitudinal modulus are indicative of stiffness variations, we measured polyacrylamide hydrogels of different crosslink concentrations using the custom-built confocal Brillouin microscope (Fig. 1a), which provided a subcellular spatial resolution of ~0.3 × 0.3 × 0.7 μm3 (see Methods). Figure 1b shows a linear increase in the longitudinal modulus as a function of the crosslink concentration, with the latter being directly associated with the stiffness of polyacrylamide hydrogels. It needs to be noticed that for non-amorphous materials, such as cells and biological tissues, the elasticity tensor is not diagonal and the c11 stiffness tensor element measured in Brillouin light-scattering microscopy cannot be simply associated with the bulk modulus. As a result, the Brillouin measurements reported in this manuscript should be thought as a mean longitudinal modulus, which takes into account the other acousto-optic tensor elements defined by the symmetry of the material investigated. Although both the refractive index and the density can be non-uniform across biological tissues and organisms, recent results have demonstrated that the longitudinal modulus is not substantially affected by these changes. These findings endorse Brillouin microscopy as a reliable technique to assess cellular stiffness.

Subcellular biomechanical imaging

The submicron resolution obtained with this confocal Brillouin microscope enabled the biomechanical characterisation of distinctive subcellular structures. The two panels in Fig. 2 show a Brillouin image and a phase contrast image of a single porcine aortic endothelial cell (PAEC). In both image modalities the outline of the nuclear envelope and four nucleoli are clearly visible. Given their separate Brillouin frequency shifts (Fig. 2c), these structures exhibit a significantly different longitudinal modulus to indicate their distinct biomechanical properties. In particular, the nucleoli present in the cell’s nucleus exhibited a longitudinal modulus of 2.85 ± 0.09 GPa and are stiffer compared to the surrounding cytoplasm, of which the longitudinal modulus was measured 2.58 ± 0.03 GPa (p < 0.0001, n = 4 experiments). All values are reported as mean ± standard error of the mean (SEM), unless stated otherwise. Similarly, where distinguishable in these cells, the nuclear envelope showed a higher longitudinal modulus of 2.71 ± 0.05 GPa compared to the cytoplasm (p < 0.0001, n = 2). The diagram in Fig. 2d shows the differences between the longitudinal modulus as measured in the cytoplasm, nucleoli, and nuclear envelope of all experiments. A comprehensive overview of the measurements of each experiment is included in Supplementary Figure S1.

Cellular stiffness in response to external stimuli

To show that Brillouin microscopy is not limited to surface topologies, we investigated changes in the longitudinal modulus in different z-sections of a single cell. Figure 3a shows a PAEC cell imaged at different depths to establish a baseline measurement of its subcellular structure. The mean longitudinal modulus of the cytoplasm was 2.60 ± 0.02 GPa, while the longitudinal modulus of the nucleolus was 2.69 ± 0.01 GPa. A second baseline measurement was taken at a later point in time, which showed that the longitudinal modulus did not change significantly over time (p = 0.3). Subsequently, latrunculin-A was added to the imaging medium at a final concentration of 500 nM. Latrunculin-A is a drug that lowers cell stiffness by preventing the formation of cytoskeletal actin filaments, which are omnipresent in the cytoplasm but which are mostly absent from nucleoli. The same cell was then imaged again with both Brillouin (Fig. 3b,c) and phase-contrast (Fig. 3d) image modalities to investigate the effect of latrunculin-A on the stiffness of the cell’s structures. To compare the Brillouin measurements before and after the addition of latrunculin-A, all measurements were normalised to the longitudinal modulus of the life cell imaging solution, which was measured to be 2.23 ± 0.03 GPa (p < 0.001). In response to latrunculin-A, cytoplasmic stiffness decreased by 3.6% to 2.51 ± 0.03 GPa (p < 0.0001, n = 3). This result is consistent with previous AFM measurements of cell stiffness in response to latrunculin-A. Nucleoli were clearly distinguishable in the phase contrast image of two of these three cells, allowing to explore the effect of latrunculin-A on the mechanical properties of these structures. Interestingly, nucleolar stiffness appeared less affected by latrunculin-A as their stiffness decreased by 1.1% to 2.66 ± 0.01 GPa (p = 0.51). The diagram in Fig. 3e represents the change in the longitudinal modulus of the cytoplasm and nucleoli in response to latrunculin-A of all experiments. A comprehensive overview of the measurements of each experiment is included in Supplementary Figure S2.

Discussion

The results presented here show that Brillouin microscopy can be successfully used to study the subcellular biomechanical properties of cells. The technique was used to mechanically characterise a three dimensional volume of cells along both transverse and axial axes, demonstrating that the technique is not limited to investigating surface topologies. The confocal Brillouin microscope was also used to investigate changes in the mechanical properties of cells in response to a chemical stimulus in the form of the cytoskeletal drug latrunculin-A, demonstrating the versatility and applicability of Brillouin microscopy to further the field of cellular biomechanics.

More established experimental methods to investigate cellular biomechanics, such as atomic force microscopy (AFM), microrheology or nuclear tracking during cell motility using microfluidic devices, have mostly been indirect and invasive, which has limited the mechanical characterisation to surface topologies of cells. Uniquely, the non-invasive nature of Brillouin microscopy removes mechanical contact as a confounding factor associated with aforementioned invasive mechanical characterisation techniques. Removing this confounding factor is especially important when studying the effect of mechanical stimuli on cells. Using an oil-immersion objective lens of high numerical aperture (NA = 1.3) in a backscattering configuration, we brought the spatial resolution near the half-wavelength diffraction limit, which for long had been thought to be inaccessible in Brillouin microscopy due to the spectral broadening. Recent progress on stimulated Brillouin scattering has shown the potential to significantly decrease the data acquisition time, which may enable real-time mechanical imaging of cell dynamics.

In this work, Brillouin microscopy was validated in a controlled setting to investigate the subcellular biomechanical properties in healthy primary cells in vitro. The data presented here indicate that separate cellular compartments such as the cytoplasm, nuclear membrane, and nucleoli have markedly different mechanical properties. In addition, cytoplasmic stiffness was significantly reduced after administration of the drug latrunculin-A. In contrast, nucleoli did not exhibit significant changes in stiffness in response to latrunculin-A. These observations are consistent with our hypotheses because latrunculin-A acts by preventing polymerisation of the actin cytoskeleton, a protein that is omnipresent in the cytoplasm but is almost absent from the nucleus and nucleoli. As such, these results validate Brillouin microscopy as a technique to investigate the cellular and subcellular mechanical properties of a volume of cells in vitro, and their changes over time or in response to external stimuli. In addition to the pharmacological stimulus in the form of latrunculin-A that was used in the current study, Brillouin microscopy could also be used to study the effect of other stimuli such as mechanical or electrical stimuli on subcellular mechanics.

In Brillouin images, the cytoplasm does not exhibit the fibre-like appearance that is typical for the cytoskeleton because the diameter of individual cytoskeletal fibres (typically ~7 nm for F-actin filaments and ~25 nm for microtubules) is below the spatial resolution of the system. Moreover, any structures in the ~5-300 nm size range would result in Lamb modes rather than a bulk longitudinal peak, which standard VIPA spectrometers are not able to resolve due to saturation of the Rayleigh lines and lack of spectral resolution. However, the Brillouin microscope is able to register changes in cytoplasmic stiffness due to cytoskeletal changes, as is evidenced by the reduced cytoplasmic stiffness after exposing the cells to latrunculin-A.

Subcellular biomechanics play an important role in cancer, where cell motility is an important determinant in the metastasis of the disease, a deeper understanding of nuclear mechanics in healthy and diseased cells could lead to the identification of new targets for cancer therapies. Altered nuclear mechanics are also likely involved in the diseases Emery-Dreifuss muscular dystrophy and Hutchinson-Gilford progeria. Both diseases are associated with mutations in the LMNA gene that encodes the lamin A and C proteins that form part of the nuclear envelope. Lammerding et al., showed that lamin A/C deficient cells have reduced nuclear stiffness, increased nuclear fragility, experience increased cell death under mechanical strain, and exhibit altered mechanotransduction. As such, non-invasive Brillouin microscopy can help elicit changes in subcellular mechanics and its contribution to processes such as cancer metastasis and diseases such as muscular dystrophy and progeria.

The results presented here establish Brillouin microscopy as a versatile and broadly applicable technique to investigate subcellular biomechanics, and to study how external stimuli lead to changes in the mechanical properties of cells. The high spatial resolution, three dimensional imaging capabilities, and non-invasive nature of the technique, create new opportunities to further the field of cellular mechanics and its involvement in the pathophysiology of diseases such as cancer, atherosclerosis, glaucoma, progeria and muscular dystrophy.

Brillouin scattering

Spontaneous Brillouin scattering arises from the interaction of light with local spontaneous acoustic waves propagating in a material at the hypersound velocity V. The Brillouin spectrum is composed of a Stokes and an Anti-Stokes peak typically shifted by 1–20 GHz from the central elastic (Rayleigh) peak. The frequency shift associated with the Brillouin scattered light is given by νB = (2n/λ)Vsin(θ/2), where n is the refractive index, λ is the incident wavelength and θ is the scattering angle. The real part of the longitudinal modulus is associated with the hypersound velocity through the relation M′ = ρV2, where ρ is the material density.

Confocal Brillouin Microscope

A custom confocal Brillouin microscope was built to yield three-dimensional biomechanical images with a subcellular spatial resolution. A CW single longitudinal mode laser (λ = 561 nm, Cobolt Jive) was used as a light source in all experiments. The beam was first cleaned from optical aberrations by a single mode optical fibre, and then magnified by a 10x beam expander. To obtain a submicron spatial resolution, the beam was focused to the sample by a high NA oil-immersion microscope objective (100x, NA = 1.3, Olympus UPLNFN 100XOI). The system point spread function (PSF) associated with the instrumental spatial resolution was characterised through an image stack of a sub-diffraction sized microsphere (Supplementary Figure S3). The samples were placed on a stabilised motorised stage (Prior Scan III) mounted on an inverted microscope (Olympus IX71) to perform fast three-dimensional scanning. The optical power at the object plane was maintained below 5 mW to avoid sample damages and heating. The light scattered by the sample was coupled into a single mode fibre, which enabled strict confocality and flexible beam delivery to a customised two-stage VIPA spectrometer (Supplementary Figure S4). This had a spectral contrast of approximately 60 dB (Supplementary Figure S5), and a spectral resolution of ~350 MHz (Supplementary Figure S6). A high spectral contrast is indeed required to measure the Brillouin peaks when strong elastic scattering and specular reflections arise from the sample. Each Brillouin spectrum was acquired by an sCMOS camera (Andor Neo 5.5) with a data acquisition time of 0.2 sec. A LabView software was developed to drive both the stage and the camera simultaneously. A Brillouin spectrum of water (Supplementary Figure S6) was acquired as a spectral reference before the scanning process. Three-dimensional spatial distributions of the longitudinal modulus across cells were yielded after optical sectioning and computational processing of the Brillouin spectra acquired.

Data processing

Raw Brillouin spectra were computationally processed using custom MATLAB codes. Least square Lorentzian fittings were performed to localise the Brillouin peaks along the dispersion axis (Supplementary Figure S7), where each Brillouin peak was composed of more than 10 data points as in standard Brillouin spectroscopy schemes. The well-known spectral shift of water (νB ≈7.4 GHz for θ = 180°) was used as a reference for the spectral analysis. Conversion of the Brillouin frequency shift to the elastic longitudinal modulus was performed through the relationship M′ = ρ(λνB/2n)2, where we assumed a cellular density of ρ = 1080 Kg/m3 and refractive index of n = 1.38.

Cell culture

No. 1.5 glass coverslips were prepared for cell seeding by cross-linking a 100 μm thin layer of polyacrylamide onto the glass following a protocol by Tse and Engler. The polyacrylamide gels were then incubated with 1% gelatine solution to promote cell attachment. Porcine aortic endothelial cells from primary isolations were seeded onto the specially prepared coverslips and maintained in phenol-free DMEM (Sigma Aldrich D5921) supplemented with 10% serum, glutamine, penicillin and streptomycin at 37 °C and 5%CO2. After four days, cells were transferred to a specialist life cell imaging solution (Gibco A14291DJ) to maintain stable pH during Brillouin imaging. First, a baseline-image of the cells was acquired through a series of z-stacks. For the latrunculin-A experiment, the drug (Sigma Aldrich A5163) was added to the imaging solution at a final concentration of 500 nM.

Statistical analysis

Normality of the Brillouin measurements was confirmed using a Kolmogorov-Smirnov test. The statistical difference between longitudinal moduli of different organelles/stimuli in different cells was investigated using an analysis of covariance (ANCOVA) test. The Brillouin measurements were considered as a continuous independent variable, and the organelle/stimulus, and the cell number as nominal covariates. The linear regression model was adjusted based the data using a stepwise regression approach. All statistical analyses were performed using MATLAB version 2014a (The Mathworks, Natick, MA, USA).

Additional Information

How to cite this article: Antonacci, G. and Braakman, S. Biomechanics of subcellular structures by non-invasive Brillouin microscopy. Sci. Rep. 6, 37217; doi: 10.1038/srep37217 (2016).

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References 39

  1. 1.

    Cunningham K. S. & Gotlieb A. I., The role of shear stress in the pathogenesis of atherosclerosis, Laboratory investigation 85, 9–23 (2005 ).

    Not in our library10.1038/labinvest.3700215

  2. 2.

    Overby D. R. et al., Altered mechanobiology of Schlemm’s canal endothelial cells in glaucoma, PNAS 111, 13876–13881 (2014 ).

    Not in our library10.1073/pnas.1410602111

  3. 3.

    Li Q. S., Lee G. Y. H., Ong C. N. & Lim C. T. AFM indentation study of breast cancer cells. Biochemical and Biophysical Research Communications 374, 609–613 (2008 ).

    Not in our library10.1016/j.bbrc.2008.07.078

  4. 4.

    Lee G. Y. & Lim C. T, Biomechanics approaches to studying human diseases. Trends in biotechnology 25, 111–118 (2007 ).

    Not in our library10.1016/j.tibtech.2007.01.005

  5. 5.

    Kuznetsova T. G., Starodubtseva M. N., Yegorenkov N. I., Chizhik S. A. & Zhdanov R. I. Atomic force microscopy probing of cell elasticity. Micron 38, 824–833 (2007 ).

    Not in our library10.1016/j.micron.2007.06.011

  6. 6.

    Touhami A., Nysten B. & Dufrêne Y. Nanoscale Mapping of the Elasticity of Microbial Cells by Atomic Force Microscopy. Langmuir 19, 4539–4543 (2003 ).

    Not in our library

  7. 7.

    Dao M., Lim C. T. & Suresh S. Mechanics of the human red blood cell deformed by optical tweezers. J. Mech. Phys. Solids 51, 2259–2280 (2003 ).

    Not in our library

  8. 8.

    Otto O. et al. Real-time deformability cytometry: on-the-fly cell mechanical phenotyping. Nat. Methods 12, 199–202 (2015 ).

    Not in our library10.1038/nmeth.3281

  9. 9.

    Discher D. E., Mohandas N. & Evans E. A. Molecular maps of red cell deformation: hidden elasticity and in situ connectivity. Science 266, 1032–1035 (1994 ).

    Not in our library10.1126/science.7973655

  10. 10.

    Engelhardt H., Gaub H. & Sackmann E. Viscoelastic properties of erythrocyte membranes in high-frequency electric fields. Nature 307, 378–380 (1984 ).

    Not in our library10.1038/307378a0

  11. 11.

    Ophir J. & Céspedes I. and Ponnekanti, H. and Yazdi, Y. and Li, X., Elastography: A Quantitative Method for Imaging the Elasticity of Biological Tissues. Ultrasonic Imaging 13, 111–134 (1991 ).

    Not in our library10.1177/016173469101300201

  12. 12.

    Manduca A. et al. Magnetic resonance elastography: Non-invasive mapping of tissue elasticity. Medical Image Analysis 5, 237–254 (2001 ).

    Not in our library10.1016/s1361-8415(00)00039-6

  13. 13.

    Scarcelli G. & Yun S. H. Confocal Brillouin microscopy for three-dimensional mechanical imaging. Nat. Photon. 2, 39–43 (2008 ).

    Not in our library10.1038/nphoton.2007.250

  14. 14.

    Antonacci G. Brillouin Scattering Microscopy for Mechanical Imaging. Imperial College London (2015 ).

    Not in our library

  15. 15.

    Vaughan J. M. & Randall J. T. Brillouin scattering, density and elastic properties of the lens cornea of the eye. Nat 284, 489–491 (1980 ).

    Not in our library10.1038/284489a0

  16. 16.

    Koski K. J., Akhenbit, McKiernan K. & Yarger J. L. Non-invasive determination of the complete elastic moduli of spider silks. Nat Mat 12, 262–267 (2013 ).

    Not in our library10.1038/nmat3549

  17. 17.

    Scarcelli G. & Yun S. H. Brillouin Optical Microscopy for Corneal Biomechanics. IOVS 53, 185–190 (2012 )

    Not in our library10.1167/iovs.11-8281

  18. 18.

    Antonacci G. et al. Quantification of plaque stiffness by Brillouin microscopy in experimental thin cap fibroatheroma. J. R. Soc. Interface 12, 20150843 (2015 ).

    Not in our library10.1098/rsif.2015.0843

  19. 19.

    Steelman Z., Meng Z., Traverso A. J. & Yakovlev V. V. Brillouin spectroscopy as a new method of screening for increased CSF total protein during bacterial meningitis. J. Biophotonics 8, 408 (2015 ).

    Not in our library10.1002/jbio.201400047

  20. 20.

    Scarcelli G. et al. Noncontact three-dimensional mapping of intracellular hydromechanical properties by Brillouin microscopy. Nat. Methods 12, 1132–1134 (2015 ).

    Not in our library10.1038/nmeth.3616

  21. 21.

    Koski K. J. & Yarger J. L. Brillouin imaging. Appl. Phys. Lett. 87, 061903 (2005 ).

    Not in our library

  22. 22.

    Antonacci G. & Foreman M. R. Foreman, Spectral broadening in Brillouin imaging. Appl. Phys. Lett. 103, 221105 (2013 ).

    Not in our library

  23. 23.

    Lin D. C., Yurke B. & Langrana N. A. Mechanical properties of a reversible, DNA-crosslinked polyacrylamide hydrogel. Journal of biomechanical engineering 126(1), 104–110 (2004 ).

    Not in our library10.1115/1.1645529

  24. 24.

    Landau L. D. & Lifshitz E. M. Theory of Elasticity, Oxford, ed. 3 (1986 ).

    Not in our library

  25. 25.

    Scarcelli G., Kim P. & Yun S. H. In vivo measurement of age-related stiffening in the crystalline lens by Brillouin optical microscopy. Biophys. J. 101, 1539–1545 (2011 ).

    Not in our library10.1016/j.bpj.2011.08.008

  26. 26.

    Vargas-Pinto R., Gong H., Vahabikashi A. & Johnson M. The effect of the endothelial cell cortex on atomic force microscopy measurements. Biophys. J. 105, 300–309 (2013 ).

    Not in our library10.1016/j.bpj.2013.05.034

  27. 27.

    Moeendarbary E. et al. The cytoplasm of living cells behaves as a poroelastic material. Nat. Mater. 12, 253–261 (2013 ).

    Not in our library10.1038/nmat3517

  28. 28.

    Davidson P. M., Sliz J., Isermann P., Denais C. & Lammerding J. Design of a microfluidic device to quantify dynamic intra-nuclear deformation during cell migration through confining environments. Integrative Biology 7, 1534–1546 (2015 ).

    Not in our library10.1039/c5ib00200a

  29. 29.

    Ballmann C. W. et al. Stimulated Brillouin Scattering Microscopic Imaging. Scientific Reports 5, 18139 (2015 ).

    Not in our library10.1038/srep18139

  30. 30.

    Remer I. & Bilenca A. Background-free Brillouin spectroscopy in scattering media at 780 nm via stimulated Brillouin scattering. Opt. Lett. 41, 926–929 (2016 ).

    Not in our library10.1364/ol.41.000926

  31. 31.

    Holmes K. C., Popp D., Gebhard W. & Kabsch W. Atomic model of the actin filament. Nature, 347(6288), 44–49 (1990 ).

    Not in our library10.1038/347044a0

  32. 32.

    Mandelkow E., Thomas J. & Cohen C., Microtubule structure at low resolution by x-ray diffraction. PNAS 74(8), 3370–3374 (1977 ).

    Not in our library10.1073/pnas.74.8.3370

  33. 33.

    Lammerding J. et al. Lamin A/C deficiency causes defective nuclear mechanics and mechanotransduction. The Journal of clinical investigation 113, 370–378 (2004 ).

    Not in our library10.1172/jci19670

  34. 34.

    Lammerding J. et al. Lamins A and C but not lamin B1 regulate nuclear mechanics. Journal of Biological Chemistry 281, 25768–25780 (2006 ).

    Not in our library10.1074/jbc.m513511200

  35. 35.

    Scarcelli G. & Yun S. H. Multistage VIPA etalons for high-extinction parallel Brillouin spectroscopy. Optics express, 19, 10913–10922 (2011 ).

    Not in our library10.1364/oe.19.010913

  36. 36.

    Antonacci G., Lepert G., Paterson C. & Török P. Elastic suppression in Brillouin imaging by destructive interference. Applied Physics Letters 107, 061102 (2015 ).

    Not in our library

  37. 37.

    Oliver W. F., Herbst C. A., Lindsay S. M. & Wolf G. H. A general method for determination of Brillouin linewidths by correction for instrumental effects and aperture broadening: Application to high‐pressure diamond anvil cell experiments. Review of Scientific Instruments 63, 1884–1895 (1992 )

    Not in our library

  38. 38.

    Bryan A. K., Goranov A., Amon A. & Manalis S. R. Measurement of mass, density, and volume during the cell cycle of yeast. PNAS 107, 999–1004 (2010 ).

    Not in our library10.1073/pnas.0901851107

  39. 39.

    Tse J. R. & Adam J. E. Preparation of hydrogel substrates with tunable mechanical properties. Current protocols in cell biology 10–16 (2010 ).

    Not in our library10.1002/0471143030.cb1016s47

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