FunImageJ: a Lisp framework for scientific image processing

SUMMARY: FunImageJ is a Lisp framework for scientific image processing built upon the ImageJ software ecosystem. The framework provides a natural functional-style for programming, while accounting for the performance requirements necessary in big data processing commonly encountered in biological im...

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Detalles Bibliográficos
Autores principales: Harrington, Kyle I S, Rueden, Curtis T, Eliceiri, Kevin W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6031065/
https://www.ncbi.nlm.nih.gov/pubmed/29106446
http://dx.doi.org/10.1093/bioinformatics/btx710
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author Harrington, Kyle I S
Rueden, Curtis T
Eliceiri, Kevin W
author_facet Harrington, Kyle I S
Rueden, Curtis T
Eliceiri, Kevin W
author_sort Harrington, Kyle I S
collection PubMed
description SUMMARY: FunImageJ is a Lisp framework for scientific image processing built upon the ImageJ software ecosystem. The framework provides a natural functional-style for programming, while accounting for the performance requirements necessary in big data processing commonly encountered in biological image analysis. AVAILABILITY AND IMPLEMENTATION: Freely available plugin to Fiji (http://fiji.sc/#download). Installation and use instructions available at http://imagej.net/FunImageJ. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-60310652018-07-10 FunImageJ: a Lisp framework for scientific image processing Harrington, Kyle I S Rueden, Curtis T Eliceiri, Kevin W Bioinformatics Applications Notes SUMMARY: FunImageJ is a Lisp framework for scientific image processing built upon the ImageJ software ecosystem. The framework provides a natural functional-style for programming, while accounting for the performance requirements necessary in big data processing commonly encountered in biological image analysis. AVAILABILITY AND IMPLEMENTATION: Freely available plugin to Fiji (http://fiji.sc/#download). Installation and use instructions available at http://imagej.net/FunImageJ. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-03-01 2017-11-02 /pmc/articles/PMC6031065/ /pubmed/29106446 http://dx.doi.org/10.1093/bioinformatics/btx710 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Harrington, Kyle I S
Rueden, Curtis T
Eliceiri, Kevin W
FunImageJ: a Lisp framework for scientific image processing
title FunImageJ: a Lisp framework for scientific image processing
title_full FunImageJ: a Lisp framework for scientific image processing
title_fullStr FunImageJ: a Lisp framework for scientific image processing
title_full_unstemmed FunImageJ: a Lisp framework for scientific image processing
title_short FunImageJ: a Lisp framework for scientific image processing
title_sort funimagej: a lisp framework for scientific image processing
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6031065/
https://www.ncbi.nlm.nih.gov/pubmed/29106446
http://dx.doi.org/10.1093/bioinformatics/btx710
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AT eliceirikevinw funimagejalispframeworkforscientificimageprocessing

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