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Micro-Meta App: an interactive tool for collecting microscopy metadata based on community specifications

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Dec 2021 United Kingdom, Germany, United States English Publisher:Springer Science and Business Media LLCJournal:Nature Methods, volume 18, pages 1,489-1,495 (issn: 1548-7091, eissn: 1548-7105, Copyright policy )Funded by:NIH | UNC Neuroscience Center R..., NIH | Dissecting the dynamic in..., DFG | Identity and Dynamics of ... +8 projects
Authors: Montero-Llopis, Paula; Boehm, Ulrike; Brown, Claire M.; Park, Peter J.; Guilbert, Thomas; Cosolo, Andrea; Lacoste, Judith; +26 Authors

doi: 10.1038/s41592-021-01315-z , 10.17615/b74a-dx15

pmid: 34862503

pmc: PMC8648560

handle: 20.500.14038/29947

Micro-Meta App: an interactive tool for collecting microscopy metadata based on community specifications

Abstract

AbstractFor quality, interpretation, reproducibility and sharing value, microscopy images should be accompanied by detailed descriptions of the conditions that were used to produce them. Micro-Meta App is an intuitive, highly interoperable, open-source software tool that was developed in the context of the 4D Nucleome (4DN) consortium and is designed to facilitate the extraction and collection of relevant microscopy metadata as specified by the recent 4DN-BINA-OME tiered-system of Microscopy Metadata specifications. In addition to substantially lowering the burden of quality assurance, the visual nature of Micro-Meta App makes it particularly suited for training purposes.

Countries
United Kingdom, Germany, United States
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Keywords

Quality Control, Standards, Bioinformatics, 535, Brief Communication, Data publication and archiving, Bioimaging and Biomedical Optics, Cell Line, Pattern Recognition, Automated, Workflow, Mice, User-Computer Interface, Image Processing, Computer-Assisted, Animals, Humans, Metadata, Microscopy, Confocal, Data Science, Computational Biology, Reproducibility of Results, Mobile Applications, Confocal microscopy, Wide-field fluorescence microscopy, Microscopy, Fluorescence, Programming Languages, Software

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 23
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Top 10%
Green
hybrid
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