Center for Research in Inflammatory Diseases, University of Sao Paulo, Ribeirao Preto, 14049-900, Brazil; Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, G12 8TA, UK.
Mol Cell Probes. 2022 Oct;65:101848. doi: 10.1016/j.mcp.2022.101848. Epub 2022 Aug 3.
Flow cytometry (FCM) is a widely used technique to simultaneously measure various characteristics of a cell or particle. Most of reliable software for FCM data analysis are commercially available at high costs. A few R packages are available; however, programming skills are required. In addition, currently, no package offers an interactive user interface (UI) with efficient tools for conventional FCM data analysis. BCyto is an open-source R package/shiny app that allows cell biologists with no coding skills to reliably analyse FCM data in R. BCyto provides intuitive axis transformation for better data visualization, easy visualization of compensation plots and modification of compensation matrices, fast generation of backgating and overlay plots, as well as built-in proliferation and dimensionality reduction tools. BCyto will not only improve accessibility to FCM data analysis but might also serve as an environment for the development of further R-based computational FCM algorithms.
流式细胞术（FCM）是一种广泛用于同时测量细胞或颗粒各种特性的技术。大多数可靠的 FCM 数据分析软件都需要以高价购买。虽然有一些 R 包可用，但需要编程技能。此外，目前还没有提供带有用于常规 FCM 数据分析的高效工具的交互式用户界面（UI）的软件包。BCyto 是一个开源的 R 包/闪亮应用程序，它允许没有编码技能的细胞生物学家在 R 中可靠地分析 FCM 数据。BCyto 提供直观的轴转换，以便更好地进行数据可视化，轻松可视化补偿图和修改补偿矩阵，快速生成背景门和叠加图，以及内置的增殖和降维工具。BCyto 将不仅提高 FCM 数据分析的可及性，而且还可以作为进一步基于 R 的计算 FCM 算法的开发环境。
