Literature DB >> 27797782

ImageJ-MATLAB: a bidirectional framework for scientific image analysis interoperability.

Mark C Hiner1, Curtis T Rueden1, Kevin W Eliceiri1,2.   

Abstract

Summary: ImageJ-MATLAB is a lightweight Java library facilitating bi-directional interoperability between MATLAB and ImageJ. By defining a standard for translation between matrix and image data structures, researchers are empowered to select the best tool for their image-analysis tasks. Availability and Implementation: Freely available extension to ImageJ2 ( http://imagej.net/Downloads ). Installation and use instructions available at http://imagej.net/MATLAB_Scripting. Tested with ImageJ 2.0.0-rc-54 , Java 1.8.0_66 and MATLAB R2015b. Contact: eliceiri@wisc.edu. Supplementary information: Supplementary data are available at Bioinformatics online.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

Mesh:

Year:  2017        PMID: 27797782      PMCID: PMC6041959          DOI: 10.1093/bioinformatics/btw681

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  3 in total

Review 1.  The ImageJ ecosystem: An open platform for biomedical image analysis.

Authors:  Johannes Schindelin; Curtis T Rueden; Mark C Hiner; Kevin W Eliceiri
Journal:  Mol Reprod Dev       Date:  2015-07-07       Impact factor: 2.609

2.  NIH Image to ImageJ: 25 years of image analysis.

Authors:  Caroline A Schneider; Wayne S Rasband; Kevin W Eliceiri
Journal:  Nat Methods       Date:  2012-07       Impact factor: 28.547

3.  ImgLib2--generic image processing in Java.

Authors:  Tobias Pietzsch; Stephan Preibisch; Pavel Tomancák; Stephan Saalfeld
Journal:  Bioinformatics       Date:  2012-09-08       Impact factor: 6.937

  3 in total
  7 in total

1.  New Extensibility and Scripting Tools in the ImageJ Ecosystem.

Authors:  Niklas A Gahm; Curtis T Rueden; Edward L Evans; Gabriel Selzer; Mark C Hiner; Jenu V Chacko; Dasong Gao; Nathan M Sherer; Kevin W Eliceiri
Journal:  Curr Protoc       Date:  2021-08

2.  ImageJ2: ImageJ for the next generation of scientific image data.

Authors:  Curtis T Rueden; Johannes Schindelin; Mark C Hiner; Barry E DeZonia; Alison E Walter; Ellen T Arena; Kevin W Eliceiri
Journal:  BMC Bioinformatics       Date:  2017-11-29       Impact factor: 3.169

3.  Comparative analysis of tissue reconstruction algorithms for 3D histology.

Authors:  Kimmo Kartasalo; Leena Latonen; Jorma Vihinen; Tapio Visakorpi; Matti Nykter; Pekka Ruusuvuori
Journal:  Bioinformatics       Date:  2018-09-01       Impact factor: 6.937

4.  Spatiotemporal Characterizations of Spontaneously Beating Cardiomyocytes with Adaptive Reference Digital Image Correlation.

Authors:  Akankshya Shradhanjali; Brandon D Riehl; Bin Duan; Ruiguo Yang; Jung Yul Lim
Journal:  Sci Rep       Date:  2019-12-05       Impact factor: 4.379

5.  Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy.

Authors:  Livia Asan; Claudia Falfán-Melgoza; Carlo A Beretta; Markus Sack; Lei Zheng; Wolfgang Weber-Fahr; Thomas Kuner; Johannes Knabbe
Journal:  Sci Rep       Date:  2021-02-19       Impact factor: 4.379

6.  OCTAVA: An open-source toolbox for quantitative analysis of optical coherence tomography angiography images.

Authors:  Gavrielle R Untracht; Rolando S Matos; Nikolaos Dikaios; Mariam Bapir; Abdullah K Durrani; Teemapron Butsabong; Paola Campagnolo; David D Sampson; Christian Heiss; Danuta M Sampson
Journal:  PLoS One       Date:  2021-12-09       Impact factor: 3.240

7.  Unraveling Functional Diversity of Cortical Synaptic Architecture Through the Lens of Population Coding.

Authors:  Jacob L Yates; Benjamin Scholl
Journal:  Front Synaptic Neurosci       Date:  2022-07-26
  7 in total

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