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

Accepted version
Peer-reviewed

Type

Article

Change log

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.

Description

Keywords

Animals, Brain, Caenorhabditis elegans, Drosophila, Female, Green Fluorescent Proteins, Image Processing, Computer-Assisted, Imaging, Three-Dimensional, Mice, Microscopy, Fluorescence, Software

Journal Title

Nat Methods

Conference Name

Journal ISSN

1548-7091
1548-7105

Volume Title

16

Publisher

Springer Science and Business Media LLC

Rights

All rights reserved