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声强因子作为小分子光声探针基准测试的实验参数。

Acoustic loudness factor as an experimental parameter for benchmarking small molecule photoacoustic probes.

作者信息

Brøndsted Frederik, McAfee Julia L, Moore Jerimiah D, Shield Harry R, Menozzi Luca, Zhou Xinqi, Fang Yuan, Yin Ruwen, Yao Junjie, Kubelick Kelsey P, Stains Cliff I

机构信息

Department of Chemistry, University of Virginia, Charlottesville, VA, 22904, USA.

Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR, 97201, USA.

出版信息

Nat Commun. 2025 Apr 22;16(1):3779. doi: 10.1038/s41467-025-59121-6.

Abstract

Photoacoustic imaging (PAI) is an emerging biomedical imaging modality with promise as a point-of-care diagnostic. This imaging modality relies on optical excitation of an absorber followed by production of ultrasound through the photoacoustic effect, resulting in high spatial resolution with imaging depths in the centimeter range. Herein, we disclose the discovery of the first benchmarking parameter for small molecule dye performance in PAI, which we term the acoustic loudness factor (ALF). ALF can predict dye performance in PAI without the need for access to photoacoustic instrumentation and can be used to guide the systematic evaluation of design strategies to enhance photoacoustic signal. Lastly, we demonstrate that enhancements in ALF can be translated to in vivo PAI. Akin to the use of fluorescence brightness in fluorophore design and evaluation for fluorescence imaging, we anticipate that ALF will guide the design and evaluation of improved probes for PAI.

摘要

光声成像(PAI)是一种新兴的生物医学成像模式,有望成为即时诊断手段。这种成像模式依赖于对吸收体的光激发,随后通过光声效应产生超声波,从而实现厘米级成像深度的高空间分辨率。在此,我们公布了用于PAI中小分子染料性能的首个基准参数的发现,我们将其称为声强因子(ALF)。ALF无需使用光声仪器就能预测PAI中的染料性能,可用于指导增强光声信号的设计策略的系统评估。最后,我们证明了ALF的增强可转化为体内PAI。类似于在荧光成像的荧光团设计和评估中使用荧光亮度,我们预计ALF将指导PAI改进型探针的设计和评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7602/12015456/b1863b402e8e/41467_2025_59121_Fig1_HTML.jpg

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