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Deep Learning-Assisted Terahertz Metasurface Biosensing for Rapid Ex Vivo Molecular Assessment of Diffuse Glioma Frozen Sections 期刊论文

编号：

02B317A1D890EAB9B5EE983264C53BC4
作者：

Wang, Chuanzheng#^[1,2]Wang, Qingtong^[1,2];Liu, Lu^[3,4];Zhang, Xinglong^[1,2];Li, Mingkun^[1,2];Ma, Weiyang^[1,2];Yan, Xin^[5];Zhao, Rongrong(赵荣荣)^[1,2]Li, Boyan^[1,2];Yao, Haiyun^[5];Liang, Lanju^[5];Xue, Hao(薛皓)^[1,2]Yang, Fan*^[4]Li, Gang(李刚)*^[1,2]Wang, Ziqun*^[5]Xin, Tao(辛涛)*^[6,7]
语种：

英文
期刊：

ACS SENSORS ISSN：2379-3694 2026 年 11 卷 10 期 (9573 - 9587) ; OCT 23
收录：
关键词：

diffuse glioma terahertz spectroscopy metasurface biosensor frozen section ex vivo molecular assessment IDH status
摘要：

Molecularly informed maximal safe resection of diffuse glioma requires rapid assessment of surgical specimens, but conventional molecular assays are not suited to repeated ex vivo testing. We developed a deep learning-assisted terahertz (THz) metasurface workflow in which a K/I-patterned aluminum metasurface both serves as the cryosection-receiving substrate and converts tissue-induced dielectric perturbations into multi-resonance THz responses. After preliminary thickness optimization, 50 mu m sections were prepared directly on the active sensing area. The study included 53 patients, 59 tissue specimens, and 590 nested block-level spectra. A SEResNet1D model analyzed the complete 0.50-1.12 THz transmittance curve using a patient/specimen-grouped hold-out design. Distinct from prior conventional THz molecular studies and metasurface studies focused mainly on tumor-normal contrast, cultured cells, or animal imaging, the workflow integrates direct on-metasurface cryosectioning, resonant multi-mode THz transduction, full-spectrum deep learning, and leakage-aware grouped validation for five-class molecularly relevant assessment of human diffuse glioma frozen sections. Across five independently initialized runs, SEResNet1D achieved a mean five-class accuracy of 97.48 +/- 0.87%. One THz spectrum required approximately 8 s, and a ready-to-scan tissue-sensor unit could be prepared in approximately 3 min. These findings support metasurface-enhanced THz sensing with full-spectrum deep learning as a rapid ex vivo adjunct for molecularly relevant assessment of diffuse glioma specimens.
推荐引用方式
GB/T 7714：

Wang Chuanzheng,Wang Qingtong,Liu Lu, et al. Deep Learning-Assisted Terahertz Metasurface Biosensing for Rapid Ex Vivo Molecular Assessment of Diffuse Glioma Frozen Sections [J].ACS SENSORS,2026,11(10):9573-9587.
APA：

Wang Chuanzheng,Wang Qingtong,Liu Lu,Zhang Xinglong,&Xin Tao.(2026).Deep Learning-Assisted Terahertz Metasurface Biosensing for Rapid Ex Vivo Molecular Assessment of Diffuse Glioma Frozen Sections .ACS SENSORS,11(10):9573-9587.
MLA：

Wang Chuanzheng, et al. "Deep Learning-Assisted Terahertz Metasurface Biosensing for Rapid Ex Vivo Molecular Assessment of Diffuse Glioma Frozen Sections" .ACS SENSORS 11,10(2026):9573-9587.
入库时间：

11/10/2026 3:24:42 PM
更新时间：

11/10/2026 3:24:42 PM

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