Locating Three-Dimensional Position of Deep-Seated Sers Phantom Lesions in Thick Tissues Using Tomographic Transmission Raman Spectroscopy

Datos Bibliográficos

ID23239795
AutoresHaoqiang Xie (Shanghai Jiao Tong University), 康成 川端, Edward Seidensticker, Yumin Zhang (0000-0001-5514-2936, Shanghai Jiao Tong University), Zongyu Wu (Shanghai Jiao Tong University), Zhouzhou Bao (Shanghai Jiao Tong University), Li Lin (0000-0002-7584-9186, Shanghai Jiao Tong University), Jian Ye (0000-0003-2762-9717, Shanghai Jiao Tong University)
Año2023
Volumen15
Número38
Páginas44665-44675
Fecha de publicación2023-09-27
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaACS Applied Materials & Interfaces (JOURNAL)
Identificadores de la revistaISSN: 1944-8244 • E-ISSN: 1944-8252
EditorialAmerican Chemical Society (ACS) (PUBLISHER)
DOI10.1021/acsami.3c07792
OpenAlexW37704185
IdiomaEN
Citas recibidas7
Referencias citadas48

Locating distinct objects within a thick scattering medium remains a long-standing challenge in the fields of materials science, health, and engineering. Transmission Raman spectroscopy (TRS) with the use of surface-enhanced Raman scattering (SERS) nanoparticles has proven to be an effective approach to detect deep-seated lesions inside thick biological tissues. However, it has not yet been proven to spatially locate deep lesions in three dimensions using optical modalities. Herein, we present the concept of tomographic TRS and report its successful use for accurately locating SERS nanoparticles in elongated rod-like thick tissues. Our work starts with theoretical simulations of Raman photon propagation in tissues. We discovered a linear relationship between the Raman spectral peak ratio and propagation distance of Raman photons in tissues, allowing us to predict the location of lesions tagged by SERS NPs. Based on this, we propose a two-step tomographic TRS strategy, which includes axial scanning and ring scanning. We demonstrate the robustness of our approach using ex vivo thick tissue (4.5 cm in thickness) and locate an embedded SERS phantom lesion, with a ring scanning step of 10-30°. We successfully locate multiple SERS phantom lesions in the ex vivo porcine muscle stack with high accuracy (absolute error of <2 mm). Our method is rapid, efficient, and of low cost compared to current tomographic medical imaging techniques. This work advances Raman techniques for three-dimensional positioning and offers new insights toward practical diagnosis applications.

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