Overview of Fluorescence Molecular Imaging Technology and Its AI-Driven Biomedical Applications (IMAGE)
Caption
A complete technological chain for fluorescence molecular imaging, ranging from imaging instrumentation, imaging principles, and near-infrared fluorescent probe design to multimodal imaging, theranostics integration, and intelligent analysis.
Credit
Composite figure by Bingrui Wang, Jiaxuan Wen and Yang Du, Institute of Automation, Chinese Academy of Sciences. A portion was adapted from Z. Zhang et al., “NIR-II light in clinical oncology: opportunities and challenges,” Nature Reviews Clinical Oncology, vol. 21, pp. 449–467, 2024, © Springer Nature Limited 2024, used with permission. Portions were adapted from X. Zhu et al., “Prediction of lymph node metastasis in colorectal cancer using intraoperative fluorescence multi-modal imaging,” IEEE Transactions on Medical Imaging, vol. 44, no. 3, pp. 1568–1580, 2025, licensed under CC BY 4.0; and B. Shen et al., “Real-time intraoperative glioma diagnosis using fluorescence imaging and deep convolutional neural networks,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 48, no. 11, pp. 3482–3492, 2021, licensed under CC BY 4.0. Changes were made.
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Third-party material is subject to the original licensing terms stated in the credit line. The portion adapted from Zhang et al. is used with permission from Springer Nature and remains subject to the terms of that permission. Portions adapted from Zhu et al. and Shen et al. are licensed under CC BY 4.0. Changes were made.
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