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zadetkov: 31
1.
  • Trainable Weka Segmentation... Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification
    Arganda-Carreras, Ignacio; Kaynig, Verena; Rueden, Curtis ... Bioinformatics, 08/2017, Letnik: 33, Številka: 15
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    State-of-the-art light and electron microscopes are capable of acquiring large image datasets, but quantitatively evaluating the data often involves manually annotating structures of interest. This ...
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2.
  • ImageJ2: ImageJ for the nex... ImageJ2: ImageJ for the next generation of scientific image data
    Rueden, Curtis T; Schindelin, Johannes; Hiner, Mark C ... BMC bioinformatics, 11/2017, Letnik: 18, Številka: 1
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    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 ...
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3.
  • The ImageJ ecosystem: An op... The ImageJ ecosystem: An open platform for biomedical image analysis
    Schindelin, Johannes; Rueden, Curtis T.; Hiner, Mark C. ... Molecular reproduction and development, July–August 2015, Letnik: 82, Številka: 7-8
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    SUMMARY Technology in microscopy advances rapidly, enabling increasingly affordable, faster, and more precise quantitative biomedical imaging, which necessitates correspondingly more‐advanced image ...
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4.
  • A high-level 3D visualizati... A high-level 3D visualization API for Java and ImageJ
    Schmid, Benjamin; Schindelin, Johannes; Cardona, Albert ... BMC bioinformatics, 05/2010, Letnik: 11, Številka: 1
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    Current imaging methods such as Magnetic Resonance Imaging (MRI), Confocal microscopy, Electron Microscopy (EM) or Selective Plane Illumination Microscopy (SPIM) yield three-dimensional (3D) data ...
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5.
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6.
  • TrackMate: An open and exte... TrackMate: An open and extensible platform for single-particle tracking
    Tinevez, Jean-Yves; Perry, Nick; Schindelin, Johannes ... Methods (San Diego, Calif.), 02/2017, Letnik: 115
    Journal Article
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    Display omitted •TrackMate is a software tool for automated, and semi-automated particle tracking.•TrackMate’s major development focus is on usability and extensibility.•TrackMate leverages Fiji to ...
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7.
  • TrakEM2 software for neural... TrakEM2 software for neural circuit reconstruction
    Cardona, Albert; Saalfeld, Stephan; Schindelin, Johannes ... PloS one, 06/2012, Letnik: 7, Številka: 6
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    A key challenge in neuroscience is the expeditious reconstruction of neuronal circuits. For model systems such as Drosophila and C. elegans, the limiting step is no longer the acquisition of imagery ...
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8.
  • A new metric for probabilit... A new metric for probability distributions
    Endres, D.M.; Schindelin, J.E. IEEE transactions on information theory, 07/2003, Letnik: 49, Številka: 7
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    We introduce a metric for probability distributions, which is bounded, information-theoretically motivated, and has a natural Bayesian interpretation. The square root of the well-known /spl chi//sup ...
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9.
  • Crowdsourcing the creation ... Crowdsourcing the creation of image segmentation algorithms for connectomics
    Arganda-Carreras, Ignacio; Turaga, Srinivas C; Berger, Daniel R ... Frontiers in neuroanatomy, 11/2015, Letnik: 9, Številka: 142
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    To stimulate progress in automating the reconstruction of neural circuits, we organized the first international challenge on 2D segmentation of electron microscopic (EM) images of the brain. ...
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10.
  • A Doppler effect in embryon... A Doppler effect in embryonic pattern formation
    Soroldoni, Daniele; Jörg, David J.; Morelli, Luis G. ... Science, 07/2014, Letnik: 345, Številka: 6193
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    During embryonic development, temporal and spatial cues are coordinated to generate a segmented body axis. In sequentially segmenting animals, the rhythm of segmentation is reported to be controlled ...
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zadetkov: 31

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