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Article . 2021
License: CC BY
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New Extensibility Tools for Scripting in ImageJ

descriptionPublicationkeyboard_double_arrow_right Article 27 Mar 2021 English Publisher:Zenodo
Authors: Gahm, Niklas; Rueden, Curtis; Evans, Edward; Selzer, Gabriel; Hiner, Mark; Chacko, Jenu; Sherer, Nathan; +2 Authors

doi: 10.5281/zenodo.4642146 , 10.5281/zenodo.4642145

New Extensibility Tools for Scripting in ImageJ

Abstract

This is the set of sample data (here) and scripts (uw-loci/ScriptingExampleForFLIMJandOps) needed to run the protocols in the New Extensibility Tools for Scripting in ImageJ paper available at: - Add publication link once known The Protocols and the Required Files for them are: Basic Protocol 1: Using PyImageJ for FLIM Processing - BP1_PyImageJ.ipynb - read_wiscscan_sdt.py - epithelial_human_FLIM.sdt Alternate Protocol 1: Groovy FLIMJ in Jupyter Notebooks - AP1_FLIM_Notebook.ipynb - epithelial_human_FLIM.sdt Basic Protocol 2: Using ImageJ Ops for Image Deconvolution - Decon_richardsonLucyTV.py - HeLa_microtubules.tif Support Protocol 1: Using ImageJ Ops Matching Feature for Image Inversion - protocol_subprocedure_1.groovy - SUM_sp2_gag_still_KIP.tif Support Protocol 2: Headless ImageJ Deconvolution - Decon_richardsonLucyTV_headless.py - HeLa_microtubules.tif

Related Organizations
Keywords

SciJava, Deconvolution, Ops, ImageJ, Python

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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