Tunable phosphorene modulators – accelerating medical diagnosis with ultra-efficient photonic platforms
可调谐磷烯调制器——利用超高效光子平台加速医学诊断
可変同調ホスフィン変調器——超高効率光子プラットフォームを利用して医学診断を加速する
조정 가능한 인산 조절기 초효율적인 광자 플랫폼으로 의료 진단을 가속화
Moduladores de fosforeno sintonizables: aceleran el diagnóstico médico con plataformas fotónicas ultraeficientes
Modulateurs de phosphorène réglables – accélérer le diagnostic médical avec des plateformes photoniques ultra-efficaces
Настроиваемые фосфоровые модуляторы – ускорение медицинской диагностики с помощью ультраэффективных фотонических платформ
Yi Liu ¹, Huide Wang ¹, Honghai Zhu ¹, Yihan Zhu ¹, Wenkai Wang ¹, Haiyan Huang ¹, Ziqian Wang ¹ ⁴, Yanqi Ge ¹, Songrui Wei ¹, Yong Liu ¹, Guoqing Liu ¹, Liping Liu ², Wei Chi ³, Weihua Yang ³, Xinqi Ma ³, Jianqing Li ⁴, Han Zhang ¹
¹ State Key Laboratory of Radio frequency Heterogeneous integration, International Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology, Institute for Advanced Study in Nuclear Energy & Safety, Shenzhen Key Laboratory of Nuclear and Radiation Safety, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
中国 深圳 深圳大学物理与光电工程学院 深圳市核与辐射安全重点实验室 中国核能与安全高等研究院 二维材料光电科技国际合作联合实验室 射频异质异构集成全国重点实验室
² Shenzhen People’s Hospital, Shenzhen 518060, China
中国 深圳 深圳市人民医院
³ Shenzhen Eye Hospital, Shenzhen Eye Medical Center, Southern Medical University, 18 Zetian Road, Futian District, Shenzhen 518060, China
中国 深圳 深圳眼科医院南方医科大学深圳眼科医学中心
⁴ School of Computer Science and Engineering, Macau University of Science and Technology, Macau 999078, China
中国 澳门 澳门科技大学计算机科学与工程学院
The rapid integration of deep learning in medical image diagnosis is challenged by the energy inefficiency and data bottlenecks of conventional electronic computing. Photonic Neural Networks (PNNs) offer a promising, ultra-parallel computing paradigm to overcome these limitations. In this work, we present a high-performance electro-optic modulator realized by synergizing the exceptional properties of a phosphorene-based van der Waals heterostructure with the enhanced light-matter interaction of a microring resonator.
This design achieves efficient, low-power modulation with a high modulation efficiency of 0.25 V·cm. We utilized this modulator to construct a prototype all-fiber PNN based on a time-division multiplexing architecture. To improve computational precision, we employed a Ring-Assisted Mach–Zehnder Interferometer (RAMZI) structure, effectively extending the linear operating region for precise weight matrix representation.
Experimental validation confirms the PNN’s robust and accurate performance in complex tasks, including handwritten digit classification, retinal B-scan analysis, and multiphase liver CT image diagnosis. This study introduces a high-efficiency electro-optic modulation scheme and lays the foundation for highly integrated, low-power, fiber-based PNNs for accelerated and efficient medical diagnostics.
