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

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.

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Publication Details

Journal
Nature Communications
Published
2025-04-22
DOI
https://doi.org/10.1038/s41467-025-59121-6
Citations
5
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
Field-Weighted Citation Impact
3.37

Funders

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article

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

Ruwen Yin, Junjie Yao, Xinqi Zhou, Kelsey P. Kubelick et al.
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Nature Communications
Photoacoustic and Ultrasonic Imaging
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article

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

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

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.

Nature CommunicationsVol. 16(1)
University of Nebraska–Lincoln (US), Oregon Health & Science University (US), Duke University (US), University of Virginia (US), Virginia Tech (US), University of California, Berkeley (US)
National Science Foundation, North Carolina Biotechnology Center, University of Virginia, Virginia Commonwealth University, Jefferson Scholars Foundation, National Institutes of Health, National Heart, Lung, and Blood Institute, NIH Office of the Director, National Institute of General Medical Sciences, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Neurological Disorders and Stroke
Affordable and clean energy
Openalex Percentile: Top 8%
Photoacoustic and Ultrasonic Imaging
3.37
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