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Open AccessJournal ArticleDOI

Metadata matters: access to image data in the real world

TLDR
An open standard format for multidimensional microscopy image data is described and it is called on the community to use open image data standards and to insist that all imaging platforms support these file formats.
Abstract
Data sharing is important in the biological sciences to prevent duplication of effort, to promote scientific integrity, and to facilitate and disseminate scientific discovery. Sharing requires centralized repositories, and submission to and utility of these resources require common data formats. This is particularly challenging for multidimensional microscopy image data, which are acquired from a variety of platforms with a myriad of proprietary file formats (PFFs). In this paper, we describe an open standard format that we have developed for microscopy image data. We call on the community to use open image data standards and to insist that all imaging platforms support these file formats. This will build the foundation for an open image data repository.

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Citations
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Journal ArticleDOI

NIH Image to ImageJ: 25 years of image analysis

TL;DR: The origins, challenges and solutions of NIH Image and ImageJ software are discussed, and how their history can serve to advise and inform other software projects.
Journal ArticleDOI

ImageJ2: ImageJ for the next generation of scientific image data

TL;DR: ImageJ2 as mentioned in this paper is the next generation of ImageJ, which provides a host of new functionality and separates concerns, fully decoupling the data model from the user interface.
Journal ArticleDOI

QuPath: Open source software for digital pathology image analysis

TL;DR: QuPath provides researchers with powerful batch-processing and scripting functionality, and an extensible platform with which to develop and share new algorithms to analyze complex tissue images, making it suitable for a wide range of additional image analysis applications across biomedical research.
Journal ArticleDOI

TrackMate: An open and extensible platform for single-particle tracking.

TL;DR: TrackMate is an extensible platform where developers can easily write their own detection, particle linking, visualization or analysis algorithms within the TrackMate environment and is validated for quantitative lifetime analysis of clathrin-mediated endocytosis in plant cells.
Posted Content

ImageJ2: ImageJ for the next generation of scientific image data

TL;DR: The entire ImageJ codebase was rewrote, engineering a redesigned plugin mechanism intended to facilitate extensibility at every level, with the goal of creating a more powerful tool that continues to serve the existing community while addressing a wider range of scientific requirements.
References
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Journal ArticleDOI

The Open Microscopy Environment (OME) Data Model and XML file: open tools for informatics and quantitative analysis in biological imaging

TL;DR: The OME Data Model, expressed in Extensible Markup Language (XML) and realized in a traditional database, is both extensible and self-describing, allowing it to meet emerging imaging and analysis needs.
Journal ArticleDOI

Informatics and Quantitative Analysis in Biological Imaging

TL;DR: The Open Microscopy Environment is developed, which aims to automate image analysis, modeling, and mining of large sets of images and specifies a flexible data model, a relational database, and an XML-encoded file standard that is usable by potentially any software tool.
Journal ArticleDOI

In Vivo Analysis of Cajal Body Movement, Separation, and Joining in Live Human Cells

TL;DR: An unexpectedly high level of movement and interactions of nuclear bodies in human cells is revealed and it is suggested that these movements may be driven, at least in part, by regulated mechanisms.
Journal ArticleDOI

Bisque: a platform for bioimage analysis and management

TL;DR: Bisque is a web-based platform specifically designed to provide researchers with organizational and quantitative analysis tools for 5D image data and users can extend Bisque with both data model and analysis extensions in order to adapt the system to local needs.
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