FRC-QE：一种稳健且可比的 3D 显微镜下类器官图像质量度量标准。
FRC-QE: a robust and comparable 3D microscopy image quality metric for cleared organoids.
机构信息
Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin 10115, Germany.
Molecular Oncology Center, Hospital Sirio-Libanese, São Paulo, SP 01308-050, Brazil.
出版信息
Bioinformatics. 2021 Sep 29;37(18):3088-3090. doi: 10.1093/bioinformatics/btab160.
SUMMARY
Here, we propose Fourier ring correlation-based quality estimation (FRC-QE) as a new metric for automated image quality estimation in 3D fluorescence microscopy acquisitions of cleared organoids that yields comparable measurements across experimental replicates, clearing protocols and works for different microscopy modalities.
AVAILABILITY AND IMPLEMENTATION
FRC-QE is written in ImgLib2/Java and provided as an easy-to-use and macro-scriptable plugin for Fiji. Code, documentation, sample images and further information can be found under https://github.com/PreibischLab/FRC-QE.
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
摘要
在这里，我们提出了基于傅里叶环相关的质量估计（FRC-QE）作为一种新的度量标准，用于自动评估经过透明化处理的类器官的 3D 荧光显微镜采集图像的质量，该标准可在实验重复、透明化方案以及不同显微镜模式下产生可比的测量结果。
可用性和实现
FRC-QE 是用 ImgLib2/Java 编写的，并作为 Fiji 的一个易于使用和可宏脚本化的插件提供。代码、文档、示例图像和更多信息可在 https://github.com/PreibischLab/FRC-QE 找到。
补充信息
补充数据可在 Bioinformatics 在线获得。
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