ArticleBiomedical optics express2020
SNR enhancement in brillouin microspectroscopy using spectrum reconstruction.
Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Precision comparison of intensity ratios and area ratios in spectral analysis.Scientific reports · 2024Article
- Brillouin microscopy.Nature reviews. Methods primers · 2024Article
- Background-free fibre optic Brillouin probe for remote mapping of micromechanics.Biomedical optics express · 2020Article
- Recent progress and current opinions in Brillouin microscopy for life science applications.Biophysical reviews · 2020Review
- Precision and informational limits in inelastic optical spectroscopy.Scientific reports · 2019Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brillouin spectroscopy can suffer from low signal-to-noise ratios (SNRs). Such low SNRs can render common data analysis protocols unreliable, especially for SNRs below ∼10. In this work we exploit two denoising algorithms, namely maximum entropy reconstruction (MER) and wavelet analysis (WA), to improve the accuracy and precision in determination of Brillouin shifts and linewidth. Algorithm performance is quantified using Monte-Carlo simulations and benchmarked against the Cramér-Rao lower bound. Superior estimation results are demonstrated even at low SNRs (≥ 1). Denoising is furthermore applied to experimental Brillouin spectra of distilled water at room temperature, allowing the speed of sound in water to be extracted. Experimental and theoretical values were found to be consistent to within ±1% at unity SNR.
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