| 标题 |
Performance Prediction of a Highly Sensitive Optimized PCF-SPR Biosensor for Cancer Cell Detection Using MLP-Based ANN Model 相关领域
生物传感器
计算机科学
癌症检测
生物系统
人工智能
模式识别(心理学)
材料科学
癌症
纳米技术
生物
遗传学
|
| 网址 | |
| DOI | |
| 其它 | Recent developments in surface plasmon resonance (SPR) sensors based on photonic crystal fiber (PCF) technology have greatly enhanced sensitivity. Nevertheless, existing configurations often face challenges related to design complexity and real-time application optimization. In this study, we present a straightforward and highly sensitive circular PCF-SPR biosensor tailored for the detection of early-stage cancer cells, with efficient performance across both visible and near-infrared spectrums. |
| 求助人 | |
| 下载 | 求助已完成,仅限求助人下载。 |
|
温馨提示:该文献已被科研通 学术中心 收录,前往查看
科研通『学术中心』是文献索引库,收集文献的基本信息(如标题、摘要、期刊、作者、被引量等),不提供下载功能。如需下载文献全文,请通过文献求助获取。
|
PDF的下载单位、IP信息已删除
(2025-6-4)