2/6/2025 | 2:00 PM - 4:00 PM | Regency B

Fluorescent diffraction tomography using neural fields

Author(s)

Renzhi He | Biomedical engineering
Yucheng Li | Biomedical engineering
Yi Xue | Biomedical engineering

Abstract

Solving the 3D refractive index (RI) from fluorescence illumination provides both fluorescence and phase information about biological samples. However, accurately retrieving the phase information in the z direction from partially coherent sources or utilizing high-resolution images to achieve high-resolution reconstruction remain challenging. Thus, we developed fluorescence diffraction tomography (FDT) that can reconstruct 3D RI from defocused fluorescence images. The FDT method based on the explicit neural field, incorporating powerful components like coarse-to-fine structure, self-calibration, and partial coherent masks, to achieve high-speed, high-resolution, high-accuracy 3D RI reconstruction. Our method successfully reconstructed label-free 3D muscle cells in a 530×530×300um3 volume at 1024×1024 across 24 layers from fluorescence images. Our algorithm advances FDT for heterogeneous and structurally complex biological samples, achieving high quality RI reconstruction.