CellProfiler 3.0：生物学的下一代图像处理。
CellProfiler 3.0: Next-generation image processing for biology.
机构信息
Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America.
Skolkovo Institute of Science and Technology, Skolkovo, Moscow Region, Russia.
出版信息
PLoS Biol. 2018 Jul 3;16(7):e2005970. doi: 10.1371/journal.pbio.2005970. eCollection 2018 Jul.
CellProfiler has enabled the scientific research community to create flexible, modular image analysis pipelines since its release in 2005. Here, we describe CellProfiler 3.0, a new version of the software supporting both whole-volume and plane-wise analysis of three-dimensional (3D) image stacks, increasingly common in biomedical research. CellProfiler's infrastructure is greatly improved, and we provide a protocol for cloud-based, large-scale image processing. New plugins enable running pretrained deep learning models on images. Designed by and for biologists, CellProfiler equips researchers with powerful computational tools via a well-documented user interface, empowering biologists in all fields to create quantitative, reproducible image analysis workflows.
自 2005 年发布以来，CellProfiler 使科学界能够创建灵活的、模块化的图像分析管道。在这里，我们描述了 CellProfiler 3.0，这是该软件的一个新版本，支持对三维（3D）图像堆栈进行整体体积和平面分析，这在生物医学研究中越来越常见。CellProfiler 的基础架构得到了极大的改进，我们提供了一个基于云的、大规模图像处理的协议。新的插件可以在图像上运行预先训练的深度学习模型。CellProfiler 由生物学家设计和使用，通过一个记录良好的用户界面为研究人员提供强大的计算工具，使各个领域的生物学家都能够创建定量的、可重复的图像分析工作流程。
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