Back to Search
Start Over
BigStitcher: reconstructing high-resolution image datasets of cleared and expanded samples
- Source :
- Nature Methods. 16:870-874
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 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.
- Subjects :
- 0303 health sciences
business.industry
Extramural
Computer science
Spatially resolved
Image processing
Cell Biology
Biochemistry
03 medical and health sciences
Software
High resolution image
Computer vision
Deconvolution
Artificial intelligence
business
Molecular Biology
Interactive visualization
030304 developmental biology
Biotechnology
Clearance
Subjects
Details
- ISSN :
- 15487105 and 15487091
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- Nature Methods
- Accession number :
- edsair.doi...........182e28ed2fc7474724e35f2916ea5e80
- Full Text :
- https://doi.org/10.1038/s41592-019-0501-0