| Literature DB >> 31384047 |
David Hörl1,2, Fabio Rojas Rusak3, Friedrich Preusser2, Paul Tillberg4, Nadine Randel4, Raghav K Chhetri4, Albert Cardona4,5, Philipp J Keller4, Hartmann Harz1, Heinrich Leonhardt1, Mathias Treier3,6, Stephan Preibisch7.
Abstract
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.Entities:
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Year: 2019 PMID： 31384047 DOI： 10.1038/s41592-019-0501-0
Source DB: PubMed Journal: Nat Methods ISSN： 1548-7091 Impact factor: 28.547