Speaker
Description
Light-sheet fluorescence microscopy (LSFM) or selective plane illumination microscopy (SPIM) is the method of choice for studying organ morphogenesis and function as it permits gentle and rapid volumetric imaging of biological specimens over days. In such inhomogeneous samples, however, sample-induced aberrations, including absorption, scattering, and refraction, degrade the image, particularly as the focal plane penetrates deeper into the sample. Here, we present Leonardo, the first complete toolbox with three major submodules that address the major artifacts: (1) Destripe removes the stripe artifacts in LSFM caused by light absorption; (2) ViewFusion reconstructs one single high-quality image from dual-sided illumination (and detection) while eliminating optical distortions (ghosts) caused by light refraction; and (3) Viewfinder finds in multi-view imaging the region-dependent best angle that delivers the richest information of the sample.
| Authors | Yu Liu*, Gesine Muller, Lennart Kowitz, Nassir Navab, Carsten Marr, Jianxu Chen, Jan Huisken, Tingying Peng |
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| Keywords | light-sheet fluorescence microscopy (LSFM), multi-view image fusion, stripe removal, aberrations, machine learning |
