QQ客服 官方微博 反馈留言

浏览/检索结果: 共4条，第1-4条 帮助 限定条件 专题：北京大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Detection and Pathologic Evaluation of Sentinel Lymph Nodes in the VX2 Tumor Model Using a Novel Ultrasound/Near-Infrared Dual-Modality Contrast Agent 期刊论文 ultrasound in medicine biology, 2015 Qu Enze; Dai Zhifei; Liang Xiaolong; Qian Yajun; Wang Shumin; Ke Hengte; Wang Jinrui 收藏  |  浏览/下载：3/0  |  提交时间：2015/11/13 Contrast microbubbles,Fluorescence imaging,Sentinel lymph node,Ultrasound   Encapsulating tantalum oxide into polypyrrole nanoparticles for X-ray CT/photoacoustic bimodal imaging-guided photothermal ablation of cancer 期刊论文 biomaterials, 2014 Jin, Yushen; Li, Yanyan; Ma, Xibo; Zha, Zhengbao; Shi, Liangliang; Tian, Jie; Dai, Zhifei 收藏  |  浏览/下载：3/0  |  提交时间：2015/11/11 Photothermal therapy  Photoacoustic imaging  CF imaging  Polypyrrole  Tantalum oxide nanoparticle  SENTINEL LYMPH-NODE  COMPUTED-TOMOGRAPHY  GOLD NANOCAGES  MAGNETIC-RESONANCE  PHOTOACOUSTIC TOMOGRAPHY  CARBON NANOTUBES  GRAPHENE OXIDE  THERAPY  ULTRASOUND  NANORODS   Biocompatible polypyrrole nanoparticles as a novel organic photoacoustic contrast agent for deep tissue imaging 期刊论文 nanoscale, 2013 Zha, Zhengbao; Deng, Zijian; Li, Yanyan; Li, Changhui; Wang, Jinrui; Wang, Shumin; Qu, Enze; Dai, Zhifei 收藏  |  浏览/下载：3/0  |  提交时间：2015/11/11 SENTINEL LYMPH-NODE  IN-VIVO  CARBON NANOTUBES  GOLD NANOCAGES  TOMOGRAPHY  PARTICLES  THERAPY  CANCER  BRAIN  LIGHT   Engineering imaging probes and molecular machines for nanomedicine 期刊论文 science china life sciences, 2012 Tong Sheng; Cradick, Thomas J.; Ma Yan; Dai ZhiFei; Bao Gang 收藏  |  浏览/下载：2/0  |  提交时间：2015/11/12 nanomedicine  imaging probe  contrast agent  drug delivery  designer nuclease  RESONANCE ENERGY-TRANSFER  RAY COMPUTED-TOMOGRAPHY  IRON-OXIDE NANOPARTICLES  SEMICONDUCTOR QUANTUM DOTS  LARGE-SCALE SYNTHESIS  BISMUTH SULFIDE NANOPARTICLES  MESSENGER-RNA DETECTION  HUMAN LEUKEMIA-CELLS  SENTINEL LYMPH-NODE  REAL-TIME DETECTION