Brillouin Shift Measurement
Brillouin Shift Measurement - Related Videos
08:27
Mechanical Mapping of Spheroids Using Brillouin Spectroscopy
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2025
This article describes a protocol for mechanical characterisation of living spheroids within a 3D matrix using Brillouin micro-spectroscopy. This all-optical method enables spheroid visualisation with microscale resolution and quantitative mechanical properties. This approach has implications for mechanical phenotyping; for instance, determining pathological states of tumor spheroids within a 3D microenvironment.
07:55
High-speed Continuous-wave Stimulated Brillouin Scattering Spectrometer for Material Analysis
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Cited by 7 •
2017
We describe the construction of a rapid continuous-wave-stimulated-Brillouin-scattering (CW-SBS) spectrometer. The spectrometer employs single-frequency diode-lasers and an atomic vapor notch-filter to acquire transmission spectra of turbid/non-turbid samples with high spectral-resolution at speeds up to 100-fold faster than those of existing CW-SBS spectrometers. This improvement enables high-speed Brillouin material analysis.
07:19
Preparation of Extracellular Matrix Protein Fibers for Brillouin Spectroscopy
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Cited by 20 •
2016
We present a protocol for the application of Brillouin light scattering spectroscopy to elastin and trypsin-purified type I collagen fibers of the extracellular matrix to extract their full elastic properties.
13:31
High Speed Sub-GHz Spectrometer for Brillouin Scattering Analysis
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Cited by 42 •
2015
Here we present a protocol to build a rapid Brillouin spectrometer. Cascading virtually imaged phase array (VIPA) etalons achieve a measurement speed more than 1,000 times faster than traditional scanning Fabry-Perot spectrometers. This improvement provides the means for Brillouin analysis of tissue and biomaterials at low power levels in vivo.
09:12
Sound Waves and Doppler Shift
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2023
Source: Arianna Brown, Asantha Cooray, PhD, Department of Physics & Astronomy, School of Physical Sciences, University of California, Irvine, CA Waves are disturbances that propagate through a material medium or empty space. Light waves can travel through a vacuum and some forms of matter, and are transverse in nature, which means that the oscillations are perpendicular to the direction of propagation. However, sound waves are pressure waves that travel through an elastic medium like air,...
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The frequency shift changes with the material’s longitudinal modulus, density, and refractive index. The longitudinal modulus describes resistance to compression along the direction of the acoustic disturbance, while density and refractive index affect how light and acoustic waves interact. Consequently, interpreting a shift requires considering these properties together rather than treating it as a direct measurement of stiffness alone.
Thermally excited acoustic waves generate acoustic phonons, which are quantized vibrational excitations in the material. Incident light exchanges energy with these phonons during scattering, producing a small frequency change. Measuring that change provides a spectroscopic route to local mechanical information without physically contacting or mechanically deforming the examined region.
The frequency change caused by light interacting with acoustic phonons is small, so the measurement depends on resolving closely spaced spectral features. A high-resolution spectrometer detects the Brillouin-shifted light and distinguishes its frequency from the incident signal. This resolution allows researchers to identify spatial variations in mechanical properties within heterogeneous biological or engineered materials.
A typical workflow directs incident light into the selected material region, collects light scattered from that location, and analyzes its spectrum with a high-resolution spectrometer. The detected frequency shift is then related to the material’s longitudinal modulus, density, and refractive index. Repeating this process across locations enables mapping of local mechanical variations.
In bioengineering, spatial measurements can reveal mechanical differences across cells, tissues, biomaterials, and engineered constructs. Because the approach is label-free and minimally disruptive, it supports examination of local heterogeneity rather than only assigning one bulk property to an entire sample. The resulting maps can help connect mechanical organization with biological structure and function.
The method is useful when researchers need noncontact, label-free information about local mechanics during studies of disease, development, mechanobiology, or tissue engineering. It can also assess engineered constructs and biomaterials by showing how mechanical properties vary across their structure. Minimal disruption is valuable when preserving the sample’s existing biological or material state matters.