{"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 - 2025-12-30","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/c85c3365\"></iframe>","width":"100%","height":180,"duration":150,"description":"科研喵使用AI读文献，祝你效率百倍，访问labcat.com.cn下载。今天我们要介绍发表在Nature Methods(影响因子36.1)上的重要论文\"SmartEM: machine learning-guided electron microscopy\"。这项突破性研究开发了一种革命性的电子显微镜成像技术，将机器学习实时整合到图像采集过程中。SmartEM系统能够智能分配扫描时间，先快速扫描整个区域，再对关键部位进行高质量慢速扫描，实现了高达7倍的成像加速。研究团队成功将这一技术应用于线虫、小鼠和人脑样本，并以传统电子显微镜相当的精确度重建了小鼠皮层结构。这一突破将大大加速神经连接组学的研究进程，为理解大脑工作机制开辟了新途径。","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}