Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Software Department, Allen Institute for Cell Science, Seattle, WA, USA.
BMC Bioinformatics. 2021 Sep 10;22(1):433. doi: 10.1186/s12859-021-04344-9.
Imaging data contains a substantial amount of information which can be difficult to evaluate by eye. With the expansion of high throughput microscopy methodologies producing increasingly large datasets, automated and objective analysis of the resulting images is essential to effectively extract biological information from this data. CellProfiler is a free, open source image analysis program which enables researchers to generate modular pipelines with which to process microscopy images into interpretable measurements.
Herein we describe CellProfiler 4, a new version of this software with expanded functionality. Based on user feedback, we have made several user interface refinements to improve the usability of the software. We introduced new modules to expand the capabilities of the software. We also evaluated performance and made targeted optimizations to reduce the time and cost associated with running common large-scale analysis pipelines.
CellProfiler 4 provides significantly improved performance in complex workflows compared to previous versions. This release will ensure that researchers will have continued access to CellProfiler's powerful computational tools in the coming years.
成像数据包含大量信息,单凭肉眼很难评估。随着高通量显微镜方法的扩展产生了越来越大的数据集,对由此产生的图像进行自动和客观的分析对于有效地从这些数据中提取生物信息至关重要。CellProfiler 是一个免费的开源图像分析程序,它使研究人员能够生成模块化管道,以将显微镜图像处理成可解释的测量值。
本文描述了 CellProfiler 4,这是该软件的一个新版本,具有扩展的功能。根据用户的反馈,我们对用户界面进行了一些改进,以提高软件的可用性。我们引入了新的模块来扩展软件的功能。我们还评估了性能,并进行了有针对性的优化,以减少运行常见大规模分析管道相关的时间和成本。
与以前的版本相比,CellProfiler 4 在复杂工作流程中提供了显著提高的性能。此版本将确保研究人员在未来几年能够持续访问 CellProfiler 的强大计算工具。