NIH Image to ImageJ: 25 years of image analysis
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.read more
Citations
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Allicin: Chemistry and Biological Properties
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Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype–phenotype relationships and its relevance to crop improvement
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Biological imaging software tools
Kevin W. Eliceiri,Michael R. Berthold,Ilya G. Goldberg,Luis Ibanez,B.S. Manjunath,Maryann E. Martone,Robert F. Murphy,Hanchuan Peng,Anne L. Plant,Badrinath Roysam,Nico Stuurman,Jason R. Swedlow,Pavel Tomancak,Anne E. Carpenter +13 more
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A single-cell survey of the small intestinal epithelium
Adam L. Haber,Moshe Biton,Moshe Biton,Noga Rogel,Rebecca H. Herbst,Rebecca H. Herbst,Karthik Shekhar,Christopher Smillie,Grace Burgin,Toni Delorey,Toni Delorey,Michael R. Howitt,Yarden Katz,Itay Tirosh,Semir Beyaz,Danielle Dionne,Mei Zhang,Raktima Raychowdhury,Wendy S. Garrett,Wendy S. Garrett,Orit Rozenblatt-Rosen,Hai Ning Shi,Ömer H. Yilmaz,Ömer H. Yilmaz,Ramnik J. Xavier,Ramnik J. Xavier,Aviv Regev +26 more
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Data-analysis strategies for image-based cell profiling
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TL;DR: The steps required to create high-quality image-based (i.e., morphological) profiles from a collection of microscopy images are introduced and techniques that have proven useful in each stage of the data analysis process are recommended on the basis of the experience of 20 laboratories worldwide that are refining their image- based cell-profiling methodologies.
References
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