Leveraging computational imaging for enhanced third-harmonic generation microscopy

Vasiliki Stergiopoulou; Olivier Bernard; Chrysoula Stathaki; Yves Bellouard; Martin Vetterli

doi:10.1117/12.3028654

3 October 2024 Leveraging computational imaging for enhanced third-harmonic generation microscopy

Vasiliki Stergiopoulou, Olivier Bernard, Chrysoula Stathaki, Yves Bellouard, Martin Vetterli

Proceedings Volume 13139, Ultrafast Nonlinear Imaging and Spectroscopy XII; 131390S (2024) https://doi.org/10.1117/12.3028654
Event: Optical Engineering + Applications, 2024, San Diego, California, United States

Abstract

Third harmonic generation (THG) microscopy offers label-free imaging and enables three-dimensional imaging with inherently good optical depth-sectioning. Its utility is important for imaging and characterization of laser-induced changes in transparent materials. Here we develop a digital twin for THG microscopy that allows accurate simulation of experiments and provides insight into desired information such as the third-order nonlinear susceptibility tensor. It also enables accurate simulation of the instrument's point spread function (PSF), which is essential for relating THG measurements to the desired hidden quantities. Finally, we improve microscope throughput with adaptive optics, demonstrating how PSF engineering improves spatial probing, temporal efficiency, and information content, and comparing results between the real setup and its digital twin.

Conference Presentation

Citation Download Citation

Vasiliki Stergiopoulou, Olivier Bernard, Chrysoula Stathaki, Yves Bellouard, and Martin Vetterli "Leveraging computational imaging for enhanced third-harmonic generation microscopy", Proc. SPIE 13139, Ultrafast Nonlinear Imaging and Spectroscopy XII, 131390S (3 October 2024); https://doi.org/10.1117/12.3028654

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KEYWORDS

Microscopy

Third harmonic generation

Biological imaging

Computational imaging

Point spread functions

Geometrical optics

Instrument modeling

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