Depth-Variant Deconvolution Applied to Widefield Microscopy for Rapid Large-Volume Tissue Imaging

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Abstract

Innovations in 3D tissue imaging have revolutionized research, but limitations stemming from lengthy protocols and equipment accessibility persist. Widefield microscopy is fast and accessible but often excluded from 3D imaging workflows due to its lack of optical sectioning. Here we combine tissue clearing with a depth-variant deconvolution approach customized for large-volume widefield imaging to achieve subnuclear axial resolution in tissues to a depth of 500 µm. We illustrate the utility of this method in a model of ileitis and to gain a 3D perspective in thick brain slices from a model of cerebral amyloid angiopathy, where we resolved amyloid deposits along small blood vessels, attaining resolution that compared favorably to confocal microscopy. Finally, we leveraged our approach for richer pathological evaluation of human kidney biopsies. Our approach produced hundreds of consecutive z-planes in five minutes of imaging for 3D visualization of winding arterioles entering glomeruli. This perspective afforded straightforward identification of atrophic tubes in kidney biopsies prepared in 2 hours to simulate donor kidney evaluation before transplant. Having achieved subnuclear z-resolution in sections hundreds of microns thick, widefield microscopy coupled to robust deconvolution now emerges as an accessible and viable method to gain 3D insight in research or clinical evaluations.

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