bioRxivBioengineeringPreprint
Water as a thermal contrast agent for artificial-intelligence-enhanced in vivo mid-infrared thermography
Sixin Xu, Yuanhua LiuiD, Danyang Xu, Zideng DaiiD, Wentao Ye, Xingzu ZhaniD, Feifei WangiD
Abstract
In vivo infrared thermography is limited by the inherently poor spatial resolution at long wavelengths, low contrast, and the lack of biocompatible contrast agents. Here, we present 3-5 m mid-wave infrared (MWIR) thermography enhanced by an artificial intelligence (AI) network and cold phosphate-buffered saline (PBS) as a thermal contrast agent for noninvasive in vivo imaging with high contrast and resolution. MWIR imaging enabled high thermal sensitivity with microscale spatial resolution, strong relative thermal contrast, and facilitated visualization of the subcutaneous vasculature in the human arm, hand, ankle, the femoral artery and vein in rats, and the femoral vessels in mice, with image contrast further enhanced by AI networks. In a 4T1 tumor-bearing mouse model, AI-enhanced MWIR resolved early-stage tumors of [~]2.3 mm and metastases as small as [~]1.7 mm. Using cold PBS as a MWIR thermal contrast agent, we achieved precise tumor boundary visualization and real-time imaging-guided tumor resection. AI-enhanced MWIR offers a promising solution for early diagnosis and improved surgical precision.
- organism: mouse
- assay: imaging
- research focus: differential expression
- approach: deep learning
- approach: experimental assay
- Citations
- 0
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