智能纳米探针的构建及靶向诊断脑部疾病
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脑胶质瘤及神经退行性疾病等脑部疾病因其特殊的脑结构、深层位点和发病机制，在精准诊断和治疗方面存在巨大挑战。开发高灵敏检测方式在疾病早期对其进行诊断鉴定，并拓展诊疗一体化应用，对疾病的治疗及提高患者生存率至关重要。智能纳米探针的构建主要包括近红外荧光探针、光声探针等的设计开发。通过多模态高灵敏探针结合实时示踪设备辅助，有效实现复杂脑疾病的早期高灵敏诊断。该研究面向国家“脑科学与类脑研究”重大科技项目研究方向，服务社会医疗健康领域。本数据集基于吸收光谱及近红外荧光光谱及核磁表征纳米探针的光学性能；基于小动物近红外成型系统跟踪其活体成像功能；基于透射电子显微镜观察纳米探针的形貌、尺寸等特征；基于光声成像仪示踪纳米探针的体内分布及靶点追踪；基于流式细胞仪验证纳米粒子的细胞内吞情况；基于激光共聚焦显微镜观察切片验证在脑内富集情况。数据量5.13G。
Brain diseases such as glioma and neurodegenerative disorders pose significant challenges to precise diagnosis and treatment due to their unique brain architecture, deep-seated lesion locations and intricate pathogenic mechanisms. Developing highly sensitive detection methods for early diagnosis and identification of these diseases, as well as expanding theranostic applications, is crucial for disease treatment and improving patient survival rates. The construction of intelligent nanoprobes mainly involves the design and development of near-infrared (NIR) fluorescent probes, photoacoustic (PA) probes and other related types. Combining multimodal highly sensitive probes with real-time tracing equipment can effectively enable early and highly sensitive diagnosis of complex brain diseases. This research aligns with the research orientation of the national major scientific and technological project "Brain Science and Brain-inspired Research", and serves the social medical and health field. This dataset characterizes the optical properties of nanoprobes based on absorption spectroscopy, near-infrared fluorescence spectroscopy and nuclear magnetic resonance (NMR) spectroscopy; tracks their in vivo imaging functions via the small animal near-infrared imaging system; observes the morphological and size characteristics of nanoprobes via transmission electron microscopy (TEM); traces the in vivo distribution and target localization of nanoprobes via photoacoustic imaging systems; verifies the cellular internalization of nanoparticles via flow cytometry (FCM); confirms their enrichment in the brain via section observations using laser scanning confocal microscopy (LSCM). The total data volume is 5.13 GB.
