{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"萌喵读文献-生物信息学","title":"今日生物信息学最高分文献 - 2025-12-31","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/b9334937\"></iframe>","width":"100%","height":180,"duration":195,"description":"【科研喵使用AI读文献，祝你效率百倍，访问labcat.com.cn下载】\n\n本期关注发表在Nature Methods(IF:36.1)上的重要论文\"SmartEM: machine learning-guided electron microscopy\"。这项突破性研究将人工智能与电子显微镜技术完美结合，开创性地实现了数据感知成像。SmartEM技术通过智能分配扫描时间，先快速扫描所有区域，再对关键部位进行高质量重扫，成功将图像采集速度提升7倍。研究人员已在多种生物样本上验证了这一技术的有效性，并成功重建了小鼠皮层结构，其精度与传统方法相当。这项创新不仅大幅降低了神经连接组学研究的技术门槛，还为脑科学研究开辟了新途径，未来有望加速我们对大脑复杂回路的理解。","thumbnail_url":"https://img.transistorcdn.com/38WU46uKrju37cyiLrKcVSktFL4vxBb_oTgbpM_2CRw/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zOGU2/ZmEyYWE0MDZkNGFj/NWMzNGY5ZmU4YTk0/ZTBlNS5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}