论文标题
Micellanngelo：带有3D虚拟现实的复杂细胞表面的显微镜时间序列
MiCellAnnGELo: Annotate microscopy time series of complex cell surfaces with 3D Virtual Reality
论文作者
论文摘要
摘要：3D活细胞显微镜的进展正在实现以前未观察到的过程的高分辨率捕获。然而，释放现代机器学习方法从这些技术中充分受益的力量是由于手动注释3D培训数据的困难而感到沮丧的。 Micellanngelo虚拟现实软件提供了一个沉浸式的环境，可查看和与4D显微镜数据进行交互，包括有效的注释工具。我们提供了用于标记具有广泛应用的细胞表面的工具，包括细胞运动，内吞作用和跨膜信号传导。可用性和实施：Micellanngelo采用跨平台（MAC/UNIX/Windows）Unity Game Engine，可在MIT许可证上获得https://github.com/celldynamics/micellanngelo.git.git，以及示例数据和示范电影。 Micellanngelo可以使用带有兼容GPU的标准VR耳机在2D屏幕上以桌面模式或3D运行。
Summary: Advances in 3D live cell microscopy are enabling high-resolution capture of previously unobserved processes. Unleashing the power of modern machine learning methods to fully benefit from these technologies is, however, frustrated by the difficulty of manually annotating 3D training data. MiCellAnnGELo virtual reality software offers an immersive environment for viewing and interacting with 4D microscopy data, including efficient tools for annotation. We present tools for labelling cell surfaces with a wide range of applications, including cell motility, endocytosis, and transmembrane signalling. Availability and implementation: MiCellAnnGELo employs the cross platform (Mac/Unix/Windows) Unity game engine and is available under the MIT licence at https://github.com/CellDynamics/MiCellAnnGELo.git, together with sample data and demonstration movies. MiCellAnnGELo can be run in desktop mode on a 2D screen or in 3D using a standard VR headset with compatible GPU.
