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MosaicExplorerJ: Interactive stitching of terabyte-size tiled datasets from lightsheet microscopy

We introduce MosaicExplorerJ, an ImageJ macro to stitch 3D tiles from terabyte-size microscopy datasets organized on a regular 2D grid. As opposed to existing software, stitching does not require any prior information on the actual positions of the tiles, or conversion of raw TIFF images to a multi-...

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Detalles Bibliográficos
Autores principales: Tosi, Sébastien, Bardia, Lídia, Barallobre, Maria Jose, Muñoz-Barrutia, Arrate, Soto-Montenegro, María Luisa, Colombelli, Julien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953913/
https://www.ncbi.nlm.nih.gov/pubmed/33763206
http://dx.doi.org/10.12688/f1000research.27112.2
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author Tosi, Sébastien
Bardia, Lídia
Barallobre, Maria Jose
Muñoz-Barrutia, Arrate
Soto-Montenegro, María Luisa
Colombelli, Julien
author_facet Tosi, Sébastien
Bardia, Lídia
Barallobre, Maria Jose
Muñoz-Barrutia, Arrate
Soto-Montenegro, María Luisa
Colombelli, Julien
author_sort Tosi, Sébastien
collection PubMed
description We introduce MosaicExplorerJ, an ImageJ macro to stitch 3D tiles from terabyte-size microscopy datasets organized on a regular 2D grid. As opposed to existing software, stitching does not require any prior information on the actual positions of the tiles, or conversion of raw TIFF images to a multi-resolution format for interactive exploration and fast processing. MosaicExplorerJ was specifically designed to process lightsheet microscopy datasets from optically cleared samples. It can handle multiple fluorescence channels, dual-sided lightsheet illumination and dual-sided camera detection.
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spelling pubmed-79539132021-03-23 MosaicExplorerJ: Interactive stitching of terabyte-size tiled datasets from lightsheet microscopy Tosi, Sébastien Bardia, Lídia Barallobre, Maria Jose Muñoz-Barrutia, Arrate Soto-Montenegro, María Luisa Colombelli, Julien F1000Res Software Tool Article We introduce MosaicExplorerJ, an ImageJ macro to stitch 3D tiles from terabyte-size microscopy datasets organized on a regular 2D grid. As opposed to existing software, stitching does not require any prior information on the actual positions of the tiles, or conversion of raw TIFF images to a multi-resolution format for interactive exploration and fast processing. MosaicExplorerJ was specifically designed to process lightsheet microscopy datasets from optically cleared samples. It can handle multiple fluorescence channels, dual-sided lightsheet illumination and dual-sided camera detection. F1000 Research Limited 2021-02-04 /pmc/articles/PMC7953913/ /pubmed/33763206 http://dx.doi.org/10.12688/f1000research.27112.2 Text en Copyright: © 2021 Tosi S et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Tosi, Sébastien
Bardia, Lídia
Barallobre, Maria Jose
Muñoz-Barrutia, Arrate
Soto-Montenegro, María Luisa
Colombelli, Julien
MosaicExplorerJ: Interactive stitching of terabyte-size tiled datasets from lightsheet microscopy
title MosaicExplorerJ: Interactive stitching of terabyte-size tiled datasets from lightsheet microscopy
title_full MosaicExplorerJ: Interactive stitching of terabyte-size tiled datasets from lightsheet microscopy
title_fullStr MosaicExplorerJ: Interactive stitching of terabyte-size tiled datasets from lightsheet microscopy
title_full_unstemmed MosaicExplorerJ: Interactive stitching of terabyte-size tiled datasets from lightsheet microscopy
title_short MosaicExplorerJ: Interactive stitching of terabyte-size tiled datasets from lightsheet microscopy
title_sort mosaicexplorerj: interactive stitching of terabyte-size tiled datasets from lightsheet microscopy
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953913/
https://www.ncbi.nlm.nih.gov/pubmed/33763206
http://dx.doi.org/10.12688/f1000research.27112.2
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