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Nature Methods. 2019 Sep;16(9):870-74. doi: 10.1038/s41592-019-0501-0
BigStitcher: reconstructing high-resolution image datasets of cleared and expanded samples. Cardona LabTillberg LabKeller Lab
Hörl D, Rusak F, Preusser F, Tillberg P, Randel N, Chhetri RK, Cardona A, Keller PJ, Harz H, Leonhardt H, Treier M, Preibisch S
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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.
PMID: 31384047 [PubMed - indexed for MEDLINE]
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bioRxiv PrePrint https://doi.org/10.1101/343954 (June 10, 2018)
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Janelia Authors
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