打开时间变形查看器:可视化包含异构卷的大生物图像时间序列。

Andre C Faubert, Shang Wang
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引用次数: 0

摘要

摘要:延时3D成像是研究生物过程的基础,但需要能够处理tb级体素数据的软件。尽管存在许多多维查看应用程序,但它们大多缺乏对单一时间轴中异构体素计数、数据类型和模式的支持。Open Chrono-Morph Viewer提供了一个直观的图形用户界面,可以快速调查多个时间尺度数据集,这些数据集以通用NRRD格式表示为单独的卷文件,以实现工具链之间的兼容性。它具有动态剪切表面,用于快速调查3D形态和可编写脚本的动画API,用于定量,可重复,出版质量的可视化。它是用纯Python实现的,使用通用库来促进社区驱动的开发。可用性和实现:OCMV可在https://github.com/ShangWangLab/OpenChronoMorphViewer上获得,适用于Windows、Linux和macOS。可以在补充信息中找到支持教程、文档和安装说明。我们修改斐济I/O插件高达5D NRRD文件转换可在https://github.com/afaubert/IO。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Open Chrono-Morph Viewer: visualize big bioimage time series containing heterogeneous volumes.

Summary: Time-lapse 3D imaging is fundamental for studying biological processes but requires software able to handle terabytes of voxel data. Although many multidimensional viewing applications exist, they mostly lack support for heterogeneous voxel counts, datatypes, and modalities in a single timeline. Open Chrono-Morph Viewer provides a straightforward graphical user interface to quickly investigate multi-timescale datasets represented as separate volume files in the common NRRD format for compatibility between toolchains. It features dynamic clipping surfaces for rapid investigation of 3D morphology and a scriptable animation API for quantitative, repeatable, publication-quality visualization. It is implemented in pure Python using common libraries to facilitate community-driven development.

Availability and implementation: OCMV is available at https://github.com/ShangWangLab/OpenChronoMorphViewer for Windows, Linux, and macOS. Supporting tutorials, documentation, and installation instructions can be found in the supplementary information. Our modified Fiji I/O plugin for up to 5D NRRD file conversion is available at https://github.com/afaubert/IO.

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