Beyond multi-view deconvolution for inherently-aligned fluorescence tomography

TL;DR

This paper introduces a novel auto-correlation inversion protocol for fluorescence tomography that produces inherently aligned, high-resolution reconstructions without the need for explicit alignment, improving upon traditional multi-view deconvolution methods.

Contribution

The proposed method enables direct, inherently aligned tomographic reconstructions using auto-correlation inversion, reducing alignment complexity and enhancing resolution in fluorescence microscopy.

Findings

Produces sharp, high-accuracy reconstructions

Eliminates the need for explicit alignment procedures

Enhances resolution with combined deconvolution

Abstract

In multi-view fluorescence microscopy, each angular acquisition needs to be aligned with care to obtain an optimal volumetric reconstruction. Here, instead, we propose a neat protocol based on auto-correlation inversion, that leads directly to the formation of inherently aligned tomographies. Our method generates sharp reconstructions, with the same accuracy reachable after sub-pixel alignment but with improved point-spread-function. The procedure can be performed simultaneously with deconvolution further increasing the reconstruction resolution.