Papers
2
Total Citations
13
H-Index
2
About
Yating Luo is a pioneering biomedical engineer whose research sits at the intersection of neuroinflammation, plasmonic biosensing, and advanced intraoperative imaging. Her most cited work introduces a titanium oxynitride-based plasmonic biosensor for the real-time, intraoperative assessment of acute brain inflammation triggered by microimplantation—a critical step toward safer neural interfaces. This study, garnering 10 citations since 2024, demonstrates her ability to merge materials science with neurosurgical challenges, offering a label-free, high-sensitivity tool that could transform how surgeons monitor immune responses during electrode implantation. More recently, Luo has advanced multimodal imaging with FPM-R²Net, a deep learning framework that fuses photoacoustic and operating microscopic images through cross-modality representation and registration. This 2025 work, already cited 3 times, addresses the pressing need for co-registered, high-resolution views of tissue structure and function during surgery. Together, her contributions highlight a commitment to bridging nanotechnology and computational imaging for real-time clinical decision-making. Luo’s work is particularly impactful for researchers developing next-generation neural implants and intraoperative guidance systems, as her biosensor and registration network offer practical solutions to long-standing problems in inflammation monitoring and image fusion.
Research Focus
Key Achievements
Top Papers
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