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Open AccessJournal ArticleDOI

ImageJ for microscopy

Tony J. Collins
- 01 Jul 2007 - 
- Vol. 43, pp 25-30
TLDR
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.
Abstract
of short add-on programs to provide additional functionality to the core program. These additional files are either written in Java (the plugins) or in ImageJ’s macro programming language (macros). Once saved to the ImageJ plugins folder, these functions are loaded on start-up and can be accessed via menu commands like any other core function. 400+ PLUGINS

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Citations
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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.
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The ImageJ ecosystem: An open platform for biomedical image analysis

TL;DR: The ImageJ project is used as a case study of how open‐source software fosters its suites of software tools, making multitudes of image‐analysis technology easily accessible to the scientific community.
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Mechanical Behavior and Strengthening Mechanisms in Ultrafine Grain Precipitation-Strengthened Aluminum Alloy

TL;DR: In this article, the relationship between precipitation phenomena, grain size and mechanical behavior in a complex precipitation-strengthened alloy system, Al 7075 alloy, a commonly used aluminum alloy, was selected as a model system in the present study.
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Molecular Maps of the Reorganization of Genome-Nuclear Lamina Interactions during Differentiation

TL;DR: High-resolution maps of genome-nuclear lamina interactions during subsequent differentiation of mouse embryonic stem cells via lineage-committed neural precursor cells into terminally differentiated astrocytes suggest that lamina-genome interactions are widely involved in the control of gene expression programs during lineage commitment and terminal differentiation.
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Quantitative analysis of histological staining and fluorescence using ImageJ.

TL;DR: The cost effective answer for quantitative immunohistochemical analysis is ImageJ, a Java image processing and analysis program based on NIH Image for the Macintosh, developed by Wayne Rasband.
References
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TL;DR: A novel statistical approach that quantifies, for the first time, the amount of colocalization of two fluorescent-labeled proteins in an image automatically, removing the bias of visual interpretation is introduced.
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Rapid and quantitative assessment of cancer treatment response using in vivo bioluminescence imaging.

TL;DR: The ability of BLI to noninvasively quantitate the growth and therapeutic-induced cell kill of orthotopic rat brain tumors derived from 9L gliosarcoma cells genetically engineered to stably express firefly luciferase was investigated and provides direct validation ofBLI imaging as a powerful and quantitative tool for the assessment of antineoplastic therapies in living animals.
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Visualizing the kinetics of tumor-cell clearance in living animals

TL;DR: This model system allowed sensitive, quantitative, real-time spatiotemporal analyses of the dynamics of neoplastic cell growth and facilitated rapid optimization of effective treatment regimens.
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Partial colocalization of glucocorticoid and mineralocorticoid receptors in discrete compartments in nuclei of rat hippocampus neurons

TL;DR: The spatial distribution of these transcription factors in nuclei of CA1 neurons is studied by dual labeling immunocytochemistry and confocal microscopy, combined with novel image restoration and image analysis techniques, finding that both receptors are concentrated in about one thousand clusters within the nucleus.
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