兆字节
间隙
反褶积
计算机科学
可视化
软件
人工智能
计算机视觉
计算机图形学(图像)
模式识别(心理学)
算法
医学
操作系统
泌尿科
程序设计语言
作者
David Hörl,Fabio Rojas Rusak,Friedrich Preußer,Paul W. Tillberg,Nadine Randel,Raghav K. Chhetri,Albert Cardona,Philipp Keller,Hartmann Harz,Heinrich Leonhardt,Mathias Treier,Stephan Preibisch
出处
期刊:Nature Methods
[Springer Nature]
日期:2019-08-05
卷期号:16 (9): 870-874
被引量:253
标识
DOI:10.1038/s41592-019-0501-0
摘要
Light-sheet imaging of cleared and expanded samples creates terabyte-sized datasets that consist of many unaligned three-dimensional image tiles, which must be reconstructed before analysis. We developed the BigStitcher software to address this challenge. BigStitcher enables interactive visualization, fast and precise alignment, spatially resolved quality estimation, real-time fusion and deconvolution of dual-illumination, multitile, multiview datasets. The software also compensates for optical effects, thereby improving accuracy and enabling subsequent biological analysis.
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