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  • Conference on Lasers and Electro-Optics/Europe (CLEO/Europe 2023) and European Quantum Electronics Conference (EQEC 2023)
  • Technical Digest Series (Optica Publishing Group, 2023),
  • paper cd_13_4

Smart Control of Supercontinuum Generation by Machine Learning Towards Multiphoton Microscopy Applications

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Abstract

Multi-photon excitation (MPE) microscopy has played a significant role in biological imaging techniques since it allows to observe living tissues with further depth and excellent sectioning effect. Modalities of MPE depend on the properties of both the selected fluorophore and the laser excitation (e.g., wavelength, pulse duration, peak power). However, versatile and tunable laser excitation for MPE still constitutes a technical challenge, limited by e.g. the narrow bandwidth of laser gain medium or by the achievable tunability of parametric conversion [1]. As an alternative, supercontinuum (SC) generation has been implemented for multi-photon imaging, as it can provide broadband excitation covering numerous fluorophore multi-photon absorption peaks and can enable multiplexed spectroscopy without wavelength scanning or filtering the excitation light.

© 2023 IEEE

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