Deep learning for optoacoustic imaging of reversibly switchable proteins: training and performance testing using simulated multispectral optoacoustic tomography images

Journal article

Peer reviewed

Journal of biomedical optics, Vol.31(8), pp.1-30

01/08/2026

PMID: 42577705

Abstract

Imaging

Paper

url

https://doi.org/10.1117/1.JBO.31.8.086002View

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Title: Deep learning for optoacoustic imaging of reversibly switchable proteins: training and performance testing using simulated multispectral optoacoustic tomography images
Creators: William Vale - University of Surrey
Jeffrey Bamber - The Institute of Cancer Research
Hasan Koruk - National Physical Laboratory
Gustavo Carneiro - University of Surrey
Lucia Florescu - University of Surrey
Publication Details: Journal of biomedical optics, Vol.31(8), pp.1-30
Publisher: Society of Photo-Optical Instrumentation Engineers
Publication Date: 01/08/2026
Grant note: 20000129 / NPL iCase studentship programme UK Department for Science, Innovation & Technology
Identifiers: 991155723802346
Academic Unit: School of Computer Science & Electronic Engineering
Language: English
Resource Type: Journal article