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 across a large field of view. The key challenges in SVF imaging
include requiring sparsity constraints to meet the multiplexing requirements of
compressed sensing, 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 and
addresses the inaccuracies of phase retrieval methods used to correct imaging
system aberrations. This algorithm combines the accuracy of experimental PSFs
with the long depth of field of computationally generated retrieved PSFs.
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.
| Search Query: ArXiv Query: search_query=au:”Changhuei Yang”&id_list=&start=0&max_results=3