Cell· Dhruv Agarwal, Zichen Wang, Eric Arkfeld, Andre Modolo, Parth Natekar, Hiroyuki Hakozaki, Mehul Arora, Gillian McMahon, Siddharth Nahar, Manav Doshi, Johannes Schöneberg·· 21 天前AI 评分20
MitoSpace:基于4D显微数据的自监督模型解析线粒体表型时空图谱
4D spatiotemporal landscape of mitochondrial phenotypes across cellular states unlocked through representation learning
AI 导读
Agarwal等提出MitoSpace,一种基于4D晶格光片显微镜数据的自监督模型,可在无标注条件下解析药物诱导的线粒体表型,并从形态与动力学预测膜电位。该模型可泛化至未见扰动及肺类器官,且表征质量从2D到4D逐步提升。
来源:Cell · cell.com