数据 分类的热门项目
按最近已完成的 8 小时观测回合间的 GitHub 星标增量排序
按最近已完成的 8 小时观测回合间的 GitHub 星标增量排序
Typed, reproducible high-content microscopy workflows across GUI, Python, CellProfiler, Napari/Fiji, GPU, and local MCP agents.
翻译准备中
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
Turn high-content microscopy images into reproducible measurements\
One reviewable workflow across the GUI, Python, CellProfiler, and local agents
OpenHCS is designed for imaging scientists and research software teams running
high-content studies where many wells, sites, channels, Z planes, or time points
must be analysed consistently. Source selection, processing steps, and result
definitions stay together in one validated pipeline instead of being split
across interface-only state, scripts, and automation.查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
Turn high-content microscopy images into reproducible measurements\
One reviewable workflow across the GUI, Python, CellProfiler, and local agents
OpenHCS is designed for imaging scientists and research software teams running
high-content studies where many wells, sites, channels, Z planes, or time points
must be analysed consistently. Source selection, processing steps, and result
definitions stay together in one validated pipeline instead of being split
across interface-only state, scripts, and automation.查看完整 README ↗