ImageJ2: ImageJ for the next generation of scientific image data
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Abstract (arXiv)
ImageJ is an image analysis program extensively used in the biological sciences and beyond. Due to its ease of use, recordable macro language, and extensible plug-in architecture, ImageJ enjoys contributions from non-programmers, amateur programmers, and professional developers alike. Enabling such a diversity of contributors has resulted in a large community that spans the biological and physical sciences. However, a rapidly growing user base, diverging plugin suites, and technical limitations have revealed a clear need for a concerted software engineering effort to support emerging imaging paradigms, to ensure the software's ability to handle the requirements of modern science. Due to these new and emerging challenges in scientific imaging, ImageJ is at a critical development crossroads. We present ImageJ2, a total redesign of ImageJ offering a host of new functionality. It separates concerns, fully decoupling the data model from the user interface. It emphasizes integration with external applications to maximize interoperability. Its robust new plugin framework allows everything from image formats, to scripting languages, to visualization to be extended by the community. The redesigned data model supports arbitrarily large, N-dimensional datasets, which are increasingly common in modern image acquisition. Despite the scope of these changes, backwards compatibility is maintained such that this new functionality can be seamlessly integrated with the classic ImageJ interface, allowing users and developers to migrate to these new methods at their own pace. ImageJ2 provides a framework engineered for flexibility, intended to support these requirements as well as accommodate future needs.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Jan 2017.
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Citing papers per year: 2021: 5; 2022: 3; 2023: 3; 2024: 3.
14 papers.
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- 2023Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance imagescited by 15
- 2021An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analyticscited by 7
- 2023Morphological Profiling for Drug Discovery in the Era of Deep Learningcited by 3
- 2021Deep Learning models for benign and malign Ocular Tumor Growth Estimationcited by 2
- 2021Search for temporal cell segmentation robustness in phase-contrast microscopy videoscited by 2
- 2021RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Imagescited by 1
- 2022Counting Molecules: Python based scheme for automated enumeration and categorization of molecules in scanning tunneling microscopy imagescited by 1
- 2023Organelle-specific segmentation, spatial analysis, and visualization of volume electron microscopy datasetscited by 1
- 2024VideoSAM: A Large Vision Foundation Model for High-Speed Video Segmentationcited by 1
- 2021OCTAVA: an open-source toolbox for quantitative analysis of optical coherence tomography angiography imagescited by 0
- 2022A Thin Format Vision-Based Tactile Sensor with A Micro Lens Array (MLA)cited by 0
- 2022Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Imagescited by 0
- 2024VideoSAM: A Large Vision Foundation Model for High-Speed Video Segmentation22 Oct 2024
- 2024Unveiling the Potential of AI for Nanomaterial Morphology Prediction31 May 2024
- 2024Image segmentation of treated and untreated tumor spheroids by Fully Convolutional Networks2 May 2024
- 2023Morphological Profiling for Drug Discovery in the Era of Deep Learning13 Dec 2023
- 2023Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images17 Jul 2023
- 2023Organelle-specific segmentation, spatial analysis, and visualization of volume electron microscopy datasets7 Mar 2023
- 2022Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images21 Apr 2022
- 2022A Thin Format Vision-Based Tactile Sensor with A Micro Lens Array (MLA)19 Apr 2022
- 2022Counting Molecules: Python based scheme for automated enumeration and categorization of molecules in scanning tunneling microscopy images3 Mar 2022
- 2021Search for temporal cell segmentation robustness in phase-contrast microscopy videos16 Dec 2021
- 2021An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics30 Sep 2021
- 2021OCTAVA: an open-source toolbox for quantitative analysis of optical coherence tomography angiography images4 Sep 2021
- 2023Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance imagescited by 15
- 2021An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analyticscited by 7
- 2023Morphological Profiling for Drug Discovery in the Era of Deep Learningcited by 3
- 2021Deep Learning models for benign and malign Ocular Tumor Growth Estimationcited by 2
- 2021Search for temporal cell segmentation robustness in phase-contrast microscopy videoscited by 2
- 2021RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Imagescited by 1
- 2022Counting Molecules: Python based scheme for automated enumeration and categorization of molecules in scanning tunneling microscopy imagescited by 1
- 2023Organelle-specific segmentation, spatial analysis, and visualization of volume electron microscopy datasetscited by 1
- 2024VideoSAM: A Large Vision Foundation Model for High-Speed Video Segmentationcited by 1
- 2021OCTAVA: an open-source toolbox for quantitative analysis of optical coherence tomography angiography imagescited by 0
- 2022A Thin Format Vision-Based Tactile Sensor with A Micro Lens Array (MLA)cited by 0
- 2022Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Imagescited by 0
12 most cited of 14 All 14 (JSON)
- 2024VideoSAM: A Large Vision Foundation Model for High-Speed Video Segmentation22 Oct 2024
- 2024Unveiling the Potential of AI for Nanomaterial Morphology Prediction31 May 2024
- 2024Image segmentation of treated and untreated tumor spheroids by Fully Convolutional Networks2 May 2024
- 2023Morphological Profiling for Drug Discovery in the Era of Deep Learning13 Dec 2023
- 2023Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images17 Jul 2023
- 2023Organelle-specific segmentation, spatial analysis, and visualization of volume electron microscopy datasets7 Mar 2023
- 2022Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images21 Apr 2022
- 2022A Thin Format Vision-Based Tactile Sensor with A Micro Lens Array (MLA)19 Apr 2022
- 2022Counting Molecules: Python based scheme for automated enumeration and categorization of molecules in scanning tunneling microscopy images3 Mar 2022
- 2021Search for temporal cell segmentation robustness in phase-contrast microscopy videos16 Dec 2021
- 2021An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics30 Sep 2021
- 2021OCTAVA: an open-source toolbox for quantitative analysis of optical coherence tomography angiography images4 Sep 2021
12 newest of 14 All 14 (JSON)