Three-dimensional diffractive acoustic tomography

Luca Menozzi, Tri Vu, Aidan J. Canning, Harshal Rawtani, Carlos Taboada, Marie Elise Abi Antoun, Chenshuo Ma, Jesse Delia, Nguyen Van Tu, Soon-Woo Cho, Jianing Chen, Theresa Charity, Yirui Xu, Phuong Tran, Jun Xia, Gregory M. Palmer, Tuan Vo-Dinh (), Liping Feng () and Junjie Yao ()
Additional contact information
Luca Menozzi: Duke University
Tri Vu: Duke University
Aidan J. Canning: Duke University
Harshal Rawtani: Duke University School of Medicine
Carlos Taboada: Duke University
Marie Elise Abi Antoun: Boston
Chenshuo Ma: Duke University
Jesse Delia: New York City
Nguyen Van Tu: Duke University
Soon-Woo Cho: Duke University
Jianing Chen: Duke University
Theresa Charity: Duke University School of Medicine
Yirui Xu: Duke University
Phuong Tran: Duke University
Jun Xia: Buffalo
Gregory M. Palmer: Duke University School of Medicine
Tuan Vo-Dinh: Duke University
Liping Feng: Duke University School of Medicine
Junjie Yao: Duke University

Nature Communications, 2025, vol. 16, issue 1, 1-15

Abstract: Abstract Acoustically probing biological tissues with light or sound, photoacoustic and ultrasound imaging can provide anatomical, functional, and/or molecular information at depths far beyond the optical diffusion limit. However, most photoacoustic and ultrasound imaging systems rely on linear-array transducers with elevational focusing and are limited to two-dimensional imaging with anisotropic resolutions. Here, we present three-dimensional diffractive acoustic tomography (3D-DAT), which uses an off-the-shelf linear-array transducer with single-slit acoustic diffraction. Without jeopardizing its accessibility by general users, 3D-DAT has achieved simultaneous 3D photoacoustic and ultrasound imaging with optimal imaging performance in deep tissues, providing near-isotropic resolutions, high imaging speed, and a large field-of-view, as well as enhanced quantitative accuracy and detection sensitivity. Moreover, powered by the fast focal line volumetric reconstruction, 3D-DAT has achieved 50-fold faster reconstruction times than traditional photoacoustic imaging reconstruction. Using 3D-DAT on small animal models, we mapped the distribution of the biliverdin-binding serpin complex in glassfrogs, tracked gold nanoparticle accumulation in a mouse tumor model, imaged genetically-encoded photoswitchable tumors, and investigated polyfluoroalkyl substances exposure on developing embryos. With its enhanced imaging performance and high accessibility, 3D-DAT may find broad applications in fundamental life sciences and biomedical research.

Date: 2025
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DOI: 10.1038/s41467-025-56435-3

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