biostudies-literatureUnknownLi CNIDCD NIH HHSNINDS NIH HHSLight sheet fluorescence microscopy (LSFM) provides the benefit of optical sectioning coupled with rapid acquisition times for imaging of tissue-cleared specimen. This allows for high-resolution 3D imaging of large tissue volumes. Inherently to LSFM, the quality of the imaging heavily relies on the characteristics of the illumination beam, with the notion that the illumination beam only illuminates a thin section that is being imaged. Therefore, substantial efforts are dedicated to identifying slender, non-diffracting beam profiles that can yield uniform and high-contrast images. An ongoing debate concerns the employment of the most optimal illumination beam; Gaussian, Bessel, Airy patterns and/or others. Comparisons among different beam profiles is challenging as their optimization objectbioRxiv : the preprint server for biology2023.11.29.569329https://www.ebi.ac.uk/biostudies/studies/S-EPMC10705487biostudies-literatureEnhancing Light-Sheet Fluorescence Microscopy Illumination Beams through Deep Design Optimization.PMC10705487R21 NS129093R21 DC020005Li CGreenbaum AGhashghaei HTCai YRai MRfalseEnhancing Light-Sheet Fluorescence Microscopy Illumination Beams through Deep Design Optimization.Light sheet fluorescence microscopy (LSFM) provides the benefit of optical sectioning coupled with rapid acquisition times for imaging of tissue-cleared specimen. This allows for high-resolution 3D imaging of large tissue volumes. Inherently to LSFM, the quality of the imaging heavily relies on the characteristics of the illumination beam, with the notion that the illumination beam only illuminates a thin section that is being imaged. Therefore, substantial efforts are dedicated to identifying slender, non-diffracting beam profiles that can yield uniform and high-contrast images. An ongoing debate concerns the employment of the most optimal illumination beam; Gaussian, Bessel, Airy patterns and/or others. Comparisons among different beam profiles is challenging as their optimization object2023-01-01T00:00:00Z2023 Dec2025-04-19T16:41:24.144Z2025-04-19T16:41:24.144ZS-EPMC107054873807707410.1101/2023.11.29.569329