Dr. Siarhei P. Laptenok Profile

Dr. Siarhei P. Laptenok

at King Abdullah Univ. of Science and Technology

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Author

Publications (8)

Proceedings Article | 20 June 2024 Presentation

A new architecture for flexible and broadband frequency-modulation stimulated Raman microscopy

Carlo Liberale, Luca Genchi, Sergey Laptenok

Proceedings Volume PC13006, PC130060D (2024) https://doi.org/10.1117/12.3029515

KEYWORDS: Raman spectroscopy, Microscopy, Acoustooptic tunable filters, Optical parametric oscillators, Tunable filters, Thermal lensing, Second harmonic generation, Raman scattering, Polarization, Picosecond phenomena

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Proceedings Article | 15 March 2023 Presentation

A new SRS architecture for broadband sparse wavenumber analysis of environmental microfibers using the Hadamard transform (Conference Presentation)

Luca Genchi, Sergey Laptenok, Carlo Liberale

Proceedings Volume PC12392, PC1239211 (2023) https://doi.org/10.1117/12.2650200

KEYWORDS: Optical parametric oscillators, Chemical analysis, Tunable filters, Oscillators, Femtosecond phenomena, Switching, Solid state physics, Solid state lasers, Raman spectroscopy, Raman scattering

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Proceedings Article | 30 May 2022 Presentation

Background-free stimulated Raman scattering microscopy with acousto-optic tunable filter

Elisa Grassi, Siarhei Laptenok, Luca Genchi, Carlo Liberale

Proceedings Volume PC12144, PC121440G (2022) https://doi.org/10.1117/12.2621122

KEYWORDS: Microscopy, Tunable filters, Raman spectroscopy, Raman scattering, Acousto-optics, Frequency modulation, Fermium, Signal processing, Modulation, Signal generators

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Stimulated Raman Scattering (SRS) microscopy is a Coherent Raman technique that emerged in recent years as a powerful tool for biomedical imaging due to its high specificity, high speed, and label-free capability. Despite its advantages, SRS microscopy can be affected by nonlinear competing phenomena, namely two-photon absorption (TPA), cross-phase modulation (XPM), and thermal lensing (TL), which generate a background signal that reduces the achievable specificity and sensitivity. These competing processes are quasi-instantaneous and spatially non-uniform in heterogeneous samples and require customized setups to be canceled in SRS acquisitions. A robust approach for background-free SRS measurements is the frequency-modulation (FM) SRS, which is based on the broad spectral dependence of the parasitic effects (typically tens of nanometers) compared to the narrower band of the SRS effect (~ 1 nm). Performing a differential measurement at two different wavenumbers, respectively on- and off- Raman resonance, it is possible to selectively detect the SRS process. Different solutions for background cancellation via FM have been reported in the literature, but they present various drawbacks, such as the limited applicability over certain ranges of the vibrational spectrum or the necessity to modify the optical setup when performing measurements at different Raman shifts. We propose an FM-SRS configuration realized for the first time with an acousto-optic tunable filter, able to perform measurements from the fingerprint to the CH-stretch region of the spectrum without any modification of the optical setup. We determined its efficiency in canceling the background signal due to different types of competing effects on various samples: polymer beads, human hair, and human cells. These results underline the importance of an effective cancellation of background signals of diverse nature when collecting SRS images. Our FM-SRS setup demonstrated critical advantages compared to other FM configurations.

Proceedings Article | 20 May 2022 Poster

Classification of environmental microfibers using stimulated Raman microspectroscopy

Luca Genchi, Sergey Laptenok, Cecilia Martin, Fadiyah Baalkhuyur, Carlos Duarte, Carlo Liberale

Proceedings Volume PC12136, PC1213618 (2022) https://doi.org/10.1117/12.2621157

KEYWORDS: Raman spectroscopy, Spectroscopy, Optical fibers, Imaging spectroscopy, Microscopy, Chemical analysis, Statistical analysis, Polymers, Microscopes, Environmental sensing

Proceedings Article | 2 March 2022 Presentation

Frequency-modulation stimulated Raman scattering microscopy with an acousto-optic tunable filter.

Elisa Grassi, Siarhei Laptenok, Luca Genchi, Carlo Liberale

Proceedings Volume PC11973, PC119730U (2022) https://doi.org/10.1117/12.2608693

KEYWORDS: Tunable filters, Raman scattering, Acousto-optics, Microscopy, Raman spectroscopy, Frequency modulation, Fermium, Chemical analysis, Signal generators, Polymers

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Proceedings Article | 2 March 2022 Presentation

Stimulated Raman microscopy for classification of micro-fibers from environmental samples

Sergey Laptenok, Luca Genchi, Cecilia Martin, Fadiyah Baalkhuyur, Carlos Duarte, Carlo Liberale

Proceedings Volume PC11973, PC1197319 (2022) https://doi.org/10.1117/12.2608165

KEYWORDS: Raman spectroscopy, Microscopy, Spectroscopy, Chemical analysis, Statistical analysis, Polymers, FT-IR spectroscopy, Raman scattering, Oceanography, Microscopes

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Proceedings Article | 5 March 2021 Presentation

Hadamard-transform spectral acquisition in a broadband stimulated Raman scattering microscope with an acousto-optical tunable filter

Luca Genchi, Andrea Bucci, Siarhei Laptenok, Carlo Liberale

Proceedings Volume 11656, 116560D (2021) https://doi.org/10.1117/12.2577530

KEYWORDS: Tunable filters, Raman scattering, Microscopes, Signal to noise ratio, Signal generators, Multiplexing, Raster graphics, Raman spectroscopy, Photodiodes, Microscopy

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Proceedings Article | 10 March 2020 Presentation

Fingerprint–to-CH stretch region high spectral resolution Stimulated Raman Scattering microscopy with an Acousto Optical Tunable Filter (Conference Presentation)

Sergey Laptenok, Luca Genchi, Vijayakumar Rajamanickam, Andrea Bertoncini, Alessandro Giammona, Carlo Liberale

Proceedings Volume 11251, 112511B (2020) https://doi.org/10.1117/12.2543972

KEYWORDS: Spectral resolution, Raman scattering, Microscopy, Tunable filters, Raman spectroscopy, Microscopes, Imaging spectroscopy, Femtosecond phenomena, Imaging systems, Hyperspectral imaging

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Showing 5 of 8 publications

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