Fluorescence-illuminated Diffraction Tomography using Explicit Neural Fields
Yi Xue, Renzhi He, Yucheng Li, Junjie Chen

TL;DR
This paper introduces a new imaging technique called FDT that captures 3D refractive index data of thick biological samples using fluorescence and reflection mode.
Contribution
FDT is the first method to reconstruct 3D refractive index from diffracted fluorescence images in reflection mode for thick tissues.
Findings
FDT successfully reconstructed a 300 µm-thick bovine myotube sample at subcellular resolution.
Explicit neural fields improved computational speed and accuracy over implicit neural fields.
The technique enables reflection-mode multimodal imaging for bulky tissues and in vivo applications.
Abstract
Multimodal imaging of fluorescence and phase provides distinct and complementary insights into biological samples. Current multimodal techniques for simultaneous phase and fluorescent imaging primarily operate in transmission mode and are limited to thin samples, restricting their applications to bulky tissues and in vivo animals. While multiphoton microscopy has enabled deeptissue fluorescence imaging, integrating it with phase imaging remains challenging due to the limited availability of methods capable of reconstructing the 3D refractive index (RI) of bulky, label-free tissues in reflection mode at subcellular resolution. To bridge the technical gap, we develop fluorescence-illuminated diffraction tomography (FDT) that reconstructs the 3D RI of label-free objects from diffracted fluorescence images acquired in reflection mode under two-photon excitation. The RI reconstruction…
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Taxonomy
TopicsMedical Imaging Techniques and Applications · Photoacoustic and Ultrasonic Imaging · Seismic Imaging and Inversion Techniques
