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Updated: Jan 22, 2026

Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy
Published on: August 29, 2025
Label-free tissue NIR-II autofluorescence imaging for visualization of human liver malignancy
Haisheng He1, Wenwei Zhu2, Han Miao3
1Department of Chemistry, College of Smart Materials and Future Energy, School of Pharmaceutical Sciences, New Cornerstone Science Laboratory, State Key Laboratory of Molecular Engineering of Polymers and iChem, Key Laboratory of Smart Drug Delivery Ministry of Education and State Key Laboratory of Advanced Drug Formulations for Overcoming Delivery Barriers, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Shanghai Wusong Laboratory of Materials Science, Fudan University, Shanghai Academy of Natural Sciences (SANS), Shanghai, China.
None:
Successful surgical resection of solid tumours requires highly reliable real-time intraoperative tools to accurately delineate tumour boundaries, which remains challenging in routine clinical standards. Here, we identify endogenous substances with intense autofluorescence in the second near-infrared window (NIR-II, 1,000-1,700 nm) that are abundant in human liver tissues but negligible in cancerous tissues. Inspired by this discovery, we develop a label-free and wide-field imaging approach, named tissue autofluorescence NIR-II imaging (TANI) for visualizing human liver malignancies. TANI demonstrates exceptional contrast (7.69 ± 0.52), sensitivity (97.8%) and specificity (98.4%) in delineating various liver malignancies, including hepatocellular carcinoma, intrahepatic cholangiocarcinoma and liver metastasis from cirrhotic or non-cirrhotic livers, outperforming routine fluorescence-guided surgery and conventional autofluorescence imaging in the visible (400-650 nm) or first near-infrared (700-900 nm) window. The excellent performance of TANI remains unaffected by cancer grade/stage, benign lesions or blood/bile contamination. These findings represent a promising advance in intraoperative decision-making and suggest a strong correlation between near-infrared autofluorescence and diseases. We believe that clarifying the molecular insights underlying these autofluorescent substances may provide new diagnostic directions.
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