电子显微镜
体积热力学
显微镜
分割
线粒体
计算机科学
生物
生物系统
细胞生物学
人工智能
物理
光学
量子力学
出处
期刊:Cell systems
[Elsevier]
日期:2023-01-01
卷期号:14 (1): 7-8
被引量:1
标识
DOI:10.1016/j.cels.2022.12.004
摘要
Volume electron microscopy provides a powerful approach to investigating physical connectivity within biological systems. In an article in this issue of Cell Systems, Conrad and Narayan overcome a major hurdle in volume electron microscopy by developing "MitoNet," a broadly applicable model for labeling individual mitochondria across volume electron microscopy datasets.
科研通智能强力驱动
Strongly Powered by AbleSci AI