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NIH Image to ImageJ: 25 years of image analysis

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TLDR
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.
Abstract
For the past 25 years NIH Image and ImageJ software have been pioneers as open tools for the analysis of scientific images. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.

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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.
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scikit-image: Image processing in Python

TL;DR: The advantages of open source to achieve the goals of the scikit-image library are highlighted, and several real-world image processing applications that use scik it-image are showcased.
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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.
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Anticancer immunotherapy by CTLA-4 blockade relies on the gut microbiota

TL;DR: A key role is revealed for Bacteroidales in the immunostimulatory effects of CTLA-4 blockade, which is found to depend on distinct Bacteroides species in mice and patients.
References
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Journal ArticleDOI

Fiji: an open-source platform for biological-image analysis

TL;DR: Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis that facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system.
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CellProfiler: image analysis software for identifying and quantifying cell phenotypes

TL;DR: The first free, open-source system designed for flexible, high-throughput cell image analysis, CellProfiler is described, which can address a variety of biological questions quantitatively.
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ImageJ for microscopy

TL;DR: The near-comprehensive range of import filters that allow easy access to image and meta-data, a broad suite processing and analysis routine, and enthusiastic support from a friendly mailing list are invaluable for all microscopy labs and facilities-not just those on a budget.
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Computer control of microscopes using µManager.

TL;DR: This unit provides step‐by‐step protocols describing how to get started working with µManager, as well as some starting points for advanced use of the software.
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Icy: an open bioimage informatics platform for extended reproducible research

TL;DR: Icy is a collaborative bioimage informatics platform that combines a community website for contributing and sharing tools and material, and software with a high-end visual programming framework for seamless development of sophisticated imaging workflows.
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