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Nature MethodsBioinformaticsPeer-reviewed journal article

MoBIE: A Fiji plugin for sharing and exploration of multi-modal cloud-hosted big image data

Constantin PapeiD, Kimberly MeechaniD, Ekaterina Moreva, Martin SchorbiD, Nicolas ChiaruttiniiD, Valentyna ZinchenkoiD, Hernando Martínez VergaraiD, Giulia MizzoniD, Josh MooreiD, Detlev ArendtiD, Anna KreshukiD, Yannick SchwabiD, Christian TischeriD

PDFDOIPreprint

Abstract

Facing the challenge of exploring and sharing multi-terabyte, multi-modal and multi-scale image data of heterogeneous dimensionality, we developed MoBIE, a Fiji plugin that provides rich visualization features to enable browsing data from numerous biomedical applications on a standard laptop computer. MoBIE also supports segmentations, associated measurements and annotations. Users can configure complex views of datasets, share them with collaborators, and use them for interactive figure panels. The MoBIE plugin also offers a convenient interface for converting data into compatible data formats; an additional Python library facilitates managing diverse MoBIE projects.

Citations
35
FWCI
4.11
Field percentile
top 4%

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