Kavli Affiliate: Changhuei Yang
| First 5 Authors: Oumeng Zhang, Haowen Zhou, Brandon Y. Feng, Elin M. Larsson, Reinaldo E. Alcalde
| Summary:
Single-shot volumetric fluorescence (SVF) imaging offers a significant
advantage over traditional imaging methods that require scanning across
multiple axial planes as it can capture biological processes with high temporal
resolution. The key challenges in SVF imaging include requiring sparsity
constraints, eliminating depth ambiguity in the reconstruction, and maintaining
high resolution across a large field of view. In this paper, we introduce the
QuadraPol point spread function (PSF) combined with neural fields, a novel
approach for SVF imaging. This method utilizes a custom polarizer at the back
focal plane and a polarization camera to detect fluorescence, effectively
encoding the 3D scene within a compact PSF without depth ambiguity.
Additionally, we propose a reconstruction algorithm based on the neural fields
technique that provides improved reconstruction quality compared to classical
deconvolution methods. QuadraPol PSF, combined with neural fields,
significantly reduces the acquisition time of a conventional fluorescence
microscope by approximately 20 times and captures a 100 mm$^3$ cubic volume in
one shot. We validate the effectiveness of both our hardware and algorithm
through all-in-focus imaging of bacterial colonies on sand surfaces and
visualization of plant root morphology. Our approach offers a powerful tool for
advancing biological research and ecological studies.
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