Repetition-Controllable Gain-Managed Nonlinear Fiber Amplifier for Biological Imaging

Nonlinear microscopy imaging of biological samples requires high peak power ultrashort pulses for enhanced signals [1]. At equal pulse energies, there exists a tradeoff: low repetition rates minimize thermal damage, while high rates maximize fluorescent photon generation [2]. Fiber lasers offer advantages over solid-state lasers in compactness and reliability for biomedical applications. While gain-managed nonlinear amplification (GMNA) [3] enables shorter pulses through controlled nonlinearity and dispersion, current mode-locked fiber lasers are constrained by fixed repetition rates (10–100 MHz), limiting optimization for different biological imaging applications.

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Published
2025-06-23
DOI
https://doi.org/10.1109/cleo/europe-eqec65582.2025.11109658
Primary Topic
Optical Coherence Tomography Applications
Type
article
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Repetition-Controllable Gain-Managed Nonlinear Fiber Amplifier for Biological Imaging

Sumeet Mahajan, Lin Xu, Jikun Yan, Duanyang Xu et al.
Optical Coherence Tomography Applications
article

Repetition-Controllable Gain-Managed Nonlinear Fiber Amplifier for Biological Imaging

Sumeet Mahajan, Lin Xu, Jikun Yan, Duanyang Xu, James Read
article en

Abstract

Nonlinear microscopy imaging of biological samples requires high peak power ultrashort pulses for enhanced signals [1]. At equal pulse energies, there exists a tradeoff: low repetition rates minimize thermal damage, while high rates maximize fluorescent photon generation [2]. Fiber lasers offer advantages over solid-state lasers in compactness and reliability for biomedical applications. While gain-managed nonlinear amplification (GMNA) [3] enables shorter pulses through controlled nonlinearity and dispersion, current mode-locked fiber lasers are constrained by fixed repetition rates (10–100 MHz), limiting optimization for different biological imaging applications.

University of Southampton (GB)
Affordable and clean energy
Openalex Percentile: Top 79%
Optical Coherence Tomography Applications
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