Centre for Bioimage Analysis, European Molecular Biology Laboratory (EMBL), 69117, Heidelberg, Germany.
Advanced Light Microscopy Facility, EMBL, 69117, Heidelberg, Germany.
Bioinformatics. 2021 Sep 29;37(18):3079-3081. doi: 10.1093/bioinformatics/btab106.
Modern bioimaging and related areas such as sensor technology have undergone tremendous development over the last few years. As a result, contemporary imaging techniques, particularly electron microscopy (EM) and light sheet microscopy, can frequently generate datasets attaining sizes of several terabytes (TB). As a consequence, even seemingly simple data operations such as cropping, chromatic- and drift-corrections and even visualisation, poses challenges when applied to thousands of time points or tiles. To address this we developed BigDataProcessor2-a Fiji plugin facilitating processing workflows for TB sized image datasets.
BigDataProcessor2 is available as a Fiji plugin via the BigDataProcessor update site. The application is implemented in Java and the code is publicly available on GitHub (https://github.com/bigdataprocessor/bigdataprocessor2).
Supplementary data are available at Bioinformatics online.
近年来，现代生物成像技术及相关领域（如传感器技术）取得了巨大的发展。因此，当代成像技术，特别是电子显微镜（EM）和光片显微镜，经常生成达到数太字节（TB）大小的数据集。因此，即使是看似简单的数据操作，如裁剪、颜色和漂移校正，甚至是可视化，在应用于数千个时间点或瓦片时，也会带来挑战。为了解决这个问题，我们开发了 BigDataProcessor2，这是一个 Fiji 插件，用于处理 TB 大小的图像数据集的处理工作流程。
BigDataProcessor2 可作为 Fiji 插件通过 BigDataProcessor 更新站点获得。该应用程序是用 Java 实现的，代码在 GitHub 上公开（https://github.com/bigdataprocessor/bigdataprocessor2）。
补充数据可在 Bioinformatics 在线获得。
