Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Versatile multimodal modality based on Brillouin light scattering and the photoacoustic effect

Not Accessible

Your library or personal account may give you access

Abstract

Multimodal optical techniques are useful for the comprehensive characterization of material properties. In this work, we developed a new, to the best of our knowledge, multimodal technology that can simultaneously measure a subset of mechanical, optical, and acoustical properties of the sample and is based on the integration of Brillouin (Br) and photoacoustic (PA) microscopy. The proposed technique can acquire co-registered Br and PA signals from the sample. Importantly, using synergistic measurements of the speed of sound and Brillouin shift, the modality offers a new approach to quantifying the optical refractive index, which is a fundamental property of a material and is not accessible by either technique individually. As a proof of concept, we demonstrated the feasibility of integrating the two modalities and acquired the colocalized Br and time-resolved PA signals in a synthetic phantom made out of kerosene and CuSO4 aqueous solution. In addition, we measured the refractive index values of saline solutions and validated the result. Comparison with previously reported data showed a relative error of 0.3%. This further allowed us to directly quantify the longitudinal modulus of the sample with the colocalized Brillouin shift. While the scope of the current work is limited to introducing the combined Br-PA setup for the first time, we envision that this multimodal modality could open a new path for the multi-parametric analysis of material properties.

© 2023 Optica Publishing Group

Full Article  |  PDF Article
More Like This
Modal phase-locking in multimode nonlinear optical fibers

Fabio Mangini, Mario Ferraro, Yifan Sun, Mikhail Gervaziev, Pedro Parra-Rivas, Denis S. Kharenko, Vincent Couderc, and Stefan Wabnitz
Opt. Lett. 48(14) 3677-3680 (2023)

Multimodal imaging system combining optical coherence tomography and Brillouin microscopy for neural tube imaging

Yogeshwari S. Ambekar, Manmohan Singh, Alexander W. Schill, Jitao Zhang, Christian Zevallos-Delgado, Behzad Khajavi, Salavat R. Aglyamov, Richard H. Finnell, Giuliano Scarcelli, and Kirill V. Larin
Opt. Lett. 47(6) 1347-1350 (2022)

Measuring glass transition of a polymer coating layer over working fiber using forward Brillouin scattering

Alon Bernstein, Elad Zehavi, Yosef London, Mirit Hen, Andrei A. Stolov, and Avi Zadok
Opt. Lett. 48(19) 5037-5040 (2023)

Data availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (5)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (1)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (1)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.