ArticleProceedings of the National Academy of Sciences of the United States of America2021
Deep learning for in vivo near-infrared imaging.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 117 citations in OpenAlex.
- The application of infrared thermography technology in flap: A perspective from bibliometric and visual analysis.International wound journal · 2023Pooled it
- Functional near-infrared spectroscopy: Systematic mapping of abnormal brain function features in neurological disorders.Neural regeneration research · 2026Article
- Real-time fidelity assessment of fluorescence molecular imaging without reference images.Journal of biomedical optics · 2026Article
- Molecular imaging in gastric cancer: state-of-the-art techniques and emerging opportunities.Journal of translational medicine · 2026Review
- Organic small-molecule NIR-II fluorophores for tumor phototheranostics.Light, science & applications · 2026Review
- From the Clinic, to the Clinic: Improving the Fluorescent Imaging Quality of ICG via Amphiphilic NIR-IIa AIE Probe.Biosensors · 2026Article
- Advances in NIR-II Fluorescence Laparoscopy for Precision Diagnosis and Theranostics of Urological Oncology.International journal of nanomedicine · 2026Review
- Effective transfer of tumor annotations from hematoxylin and eosin to fluorescence images of breast and lung tissues.Journal of biomedical optics · 2026Article
- Unveiling Macrophage Content as a Predictive Biomarker for Intraoperative ICG Imaging Efficacy in Lung Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Energy Gap Law-Harnessing Design of Highly Second Near-Infrared Emissive 34π-Annulated Porphyrinoids for In Vivo Imaging.Journal of the American Chemical Society · 2025Article
- Inorganic and hybrid nanomaterials for NIR-II fluorescence imaging-guided therapy of Glioblastoma and perspectives.Theranostics · 2025Review
- Cutting-edge insights: near-infrared imaging for surgical margin assessment in head and neck tumor resection: a systematic review and meta-analysis.Quantitative imaging in medicine and surgery · 2024Article
- Designing nanotheranostics with machine learning.Nature nanotechnology · 2024Review
- Dynamic multispectral NIR/SWIR forJournal of biomedical optics · 2024Article
- Illuminating the future of precision cancer surgery with fluorescence imaging and artificial intelligence convergence.NPJ precision oncology · 2024Review
- NIR-II light in clinical oncology: opportunities and challenges.Nature reviews. Clinical oncology · 2024Review
- Image restoration of degraded time-lapse microscopy data mediated by near-infrared imaging.Nature methods · 2024Article
- The optimization and application of photodynamic diagnosis and autofluorescence imaging in tumor diagnosis and guided surgery: current status and future prospects.Frontiers in oncology · 2024Review
- Machine Learning-Assisted Short-Wave InfraRed (SWIR) Techniques for Biomedical Applications: Towards Personalized Medicine.Journal of personalized medicine · 2023Review
- Wireless deep-brain neuromodulation using photovoltaics in the second near-infrared spectrum.Device · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Detecting fluorescence in the second near-infrared window (NIR-II) up to ∼1,700 nm has emerged as a novel in vivo imaging modality with high spatial and temporal resolution through millimeter tissue depths. Imaging in the NIR-IIb window (1,500-1,700 nm) is the most effective one-photon approach to suppressing light scattering and maximizing imaging penetration depth, but relies on nanoparticle probes such as PbS/CdS containing toxic elements. On the other hand, imaging the NIR-I (700-1,000 nm) or NIR-IIa window (1,000-1,300 nm) can be done using biocompatible small-molecule fluorescent probes including US Food and Drug Administration-approved dyes such as indocyanine green (ICG), but has a caveat of suboptimal imaging quality due to light scattering. It is highly desired to achieve the performance of NIR-IIb imaging using molecular probes approved for human use. Here, we trained artificial neural networks to transform a fluorescence image in the shorter-wavelength NIR window of 900-1,300 nm (NIR-I/IIa) to an image resembling an NIR-IIb image. With deep-learning translation, in vivo lymph node imaging with ICG achieved an unprecedented signal-to-background ratio of >100. Using preclinical fluorophores such as IRDye-800, translation of ∼900-nm NIR molecular imaging of PD-L1 or EGFR greatly enhanced tumor-to-normal tissue ratio up to ∼20 from ∼5 and improved tumor margin localization. Further, deep learning greatly improved in vivo noninvasive NIR-II light-sheet microscopy (LSM) in resolution and signal/background. NIR imaging equipped with deep learning could facilitate basic biomedical research and empower clinical diagnostics and imaging-guided surgery in the clinic.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.