2015
DOI: 10.1007/s00335-015-9587-6
|View full text |Cite
|
Sign up to set email alerts
|

Publishing and sharing multi-dimensional image data with OMERO

Abstract: Imaging data are used in the life and biomedical sciences to measure the molecular and structural composition and dynamics of cells, tissues, and organisms. Datasets range in size from megabytes to terabytes and usually contain a combination of binary pixel data and metadata that describe the acquisition process and any derived results. The OMERO image data management platform allows users to securely share image datasets according to specific permissions levels: data can be held privately, shared with a set o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
25
0
1

Year Published

2016
2016
2024
2024

Publication Types

Select...
4
2
2
1

Relationship

1
8

Authors

Journals

citations
Cited by 45 publications
(26 citation statements)
references
References 22 publications
0
25
0
1
Order By: Relevance
“…OMERO’s client–server architecture enables remote access to the data it holds. OMERO’s permissions system controls access to that data ensuring that each dataset, image, annotation or analytic result is only retrievable by those with correct permissions to do so [4] . A Python-based scripting engine provides an interface for data processing and supports processing and analysis applications.…”
Section: Methodsmentioning
confidence: 99%
“…OMERO’s client–server architecture enables remote access to the data it holds. OMERO’s permissions system controls access to that data ensuring that each dataset, image, annotation or analytic result is only retrievable by those with correct permissions to do so [4] . A Python-based scripting engine provides an interface for data processing and supports processing and analysis applications.…”
Section: Methodsmentioning
confidence: 99%
“…Image acquisition was performed with the soft-WoRx suite (Applied Precision/GE Healthcare). Image post-processing for publication was limited to linear intensity scaling and maximumintensity projection using OMERO (Burel et al, 2015). The following antibodies used in the present study have been described previously: HTP-1 (Martinez-Perez et al, 2008), LAB-1(de Carvalho et al, 2008), PLK-2 (Labella et al, 2011), ICP-1 (Oegema et al, 2001), HIM-8(Phillips et al, 2005), HTP-3 (MacQueen et al, 2005), SUN-1:Ser8p (Penkner et al, 2009), SYP-1 (Harper et al, 2011), ZIM-3 (Phillips andDernburg, 2006)), phosphorylated SYP-4 (Nadarajan et al, 2017) andCOH-3/4 (Severson andMeyer, 2014).…”
Section: Microscopy Cytology Antibodiesmentioning
confidence: 99%
“…The following statistical tests were performed using Prism 8 (GraphPad): Student's t-tests; one-way or two-way Anova, with Tukey correction for multiple comparisons; multiple linear regression with least squares. Figures were made using FigureApp in OMERO (Allan et al, 2012;Burel et al, 2015) and final assembly in Adobe Photoshop.…”
Section: Generation Of Mosaic Clones Using Marcm Mosaicmentioning
confidence: 99%