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BigStitcher: reconstructing high-resolution image datasets of cleared and expanded samples.

Authors :
Hörl D
Rojas Rusak F
Preusser F
Tillberg P
Randel N
Chhetri RK
Cardona A
Keller PJ
Harz H
Leonhardt H
Treier M
Preibisch S
Source :
Nature methods [Nat Methods] 2019 Sep; Vol. 16 (9), pp. 870-874. Date of Electronic Publication: 2019 Aug 05.
Publication Year :
2019

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.

Details

Language :
English
ISSN :
1548-7105
Volume :
16
Issue :
9
Database :
MEDLINE
Journal :
Nature methods
Publication Type :
Academic Journal
Accession number :
31384047
Full Text :
https://doi.org/10.1038/s41592-019-0501-0