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#bdv — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #bdv, aggregated by home.social.

  1. Prix de la dynamique agricole, Volotea, Amicale des Aveyronnais… les échos de l’Aveyron à la Une

    L’Amicale des Aveyronnais de Toulouse a célébré 2026 avec un repas en musique à Fonbeauzard. Près de 70…
    #Toulouse #FR #France #Actu #News #Europe #EU #actu #Actualités #bdv #europe #L'Aveyronnais #Occitanie #parisidf #Républiquefrançaise #toulouse
    europesays.com/fr/726823/

  2. Unser 2. Teil < #AfD und die #Holocaust-Leugnerin > mit Martin Wieser und Rosario Kindlein von der #AfD und Christoph Stabe vom "Bund der Vertriebenen"!

    #LautGegenNazis #NiemalsAfD #NieWieder #BdV
    #WirSindDieBrandmauer #GemeinsamGegenHass #DieInsider


    Hinweise und Infos:

    taz.de/Rechtsextremistin-Haver

    Christoph Stabe, Mitglied des Landesvorstandes bei BdV - Bund der Vertriebenen LV Bayern
    bdv-bayern.de/christoph-stabe/

    Uns gibt es noch auf Facebook (dieinsider) und Instagram (die.insider)

  3. Bitte teilen :blob_rainbowheart:

    Heute diskutiert der @VCDeV in seiner #BDV ob er seine Präsenz bei Twitter/X schließen sollte.

    Ein Argument werden die Followerzahlen sein.
    Daher meine Bitte an euch: Zeigt doch dem Verband mal was das #Fediverse kann und folgt ihm! :yayblob:

    Gerne auch den Landesgliederungen. Bspw.
    @VCDNord (von hier kommt der Antrag), @[email protected], @[email protected] oder @vcdsuedbaden

    #VCD #Mobilität #Klimaschutz #Bundesdeligiertenversammlung

    @mastobikes_de @mobilitaet

  4. Now onto #FijiSc: Fiji is a recursive acronym meaning "Fiji is just ImageJ" fji.sc (and the paper nature.com/articles/nmeth.2019 ) –and #ImageJ is a #java open source software for image processing imagej.nih.gov/ij/index.html written by Wayne Rasband from the #NIH Research Branch.

    An analogy: think of ImageJ as the kernel and Fiji as the rest of the operating system.

    #FijiSc brings to #ImageJ:
    (1) a package manager to install and update plugins, and that crucially enables reproducible science by exporting the whole set of plugins and libraries as an executable;
    (2) a Script Editor imagej.net/scripting/script-ed supporting many languages (#python, #groovy #ruby #scala #clojure and more), all with access to a huge collection of #JVM libraries;
    (3) huge amount of libraries such as #ImgLib2, #JFreeChart for plotting, for GUIs, etc.

    There are many, many plugins. A tiny sample:

    Machine learning-based image segmentation:
    - #LabKit imagej.net/plugins/labkit/
    - #WEKA Trainable Segmentation imagej.net/plugins/tws/index

    3D/4D/ND Visualization:
    - 3D/4D Viewer #3DViewer imagej.net/plugins/3d-viewer/i with ray-tracing, orthoslices, volume rendering, and more
    - #BigDataViewer #BDV imagej.net/plugins/bdv/index for interactively navigate N-dimensional image volumes larger than RAM

    Image registration and serial section alignment:
    - #BigStitcher for registering 3D/4D tiled datasets, with multiview deconvolution and more imagej.net/plugins/bigstitcher
    - #TrakEM2 for montaging in 2D and alinging in 3D collections of serial sections, typically from #vEM (volume electron microscopy) syn.mrc-lmb.cam.ac.uk/acardona
    - #mpicbg libraries for extracting #SIFT and #MOPS features, then finding feature correspondences and estimating rigid and elastic transformation models nature.com/articles/nmeth.2072

    Summarizing #FijiSc is impossible. See the online forum where questions find answers by the hand of the broader community of users and developers forum.image.sc/

  5. Now onto #FijiSc: Fiji is a recursive acronym meaning "Fiji is just ImageJ" fji.sc (and the paper nature.com/articles/nmeth.2019 ) –and #ImageJ is a #java open source software for image processing imagej.nih.gov/ij/index.html written by Wayne Rasband from the #NIH Research Branch.

    An analogy: think of ImageJ as the kernel and Fiji as the rest of the operating system.

    #FijiSc brings to #ImageJ:
    (1) a package manager to install and update plugins, and that crucially enables reproducible science by exporting the whole set of plugins and libraries as an executable;
    (2) a Script Editor imagej.net/scripting/script-ed supporting many languages (#python, #groovy #ruby #scala #clojure and more), all with access to a huge collection of #JVM libraries;
    (3) huge amount of libraries such as #ImgLib2, #JFreeChart for plotting, for GUIs, etc.

    There are many, many plugins. A tiny sample:

    Machine learning-based image segmentation:
    - #LabKit imagej.net/plugins/labkit/
    - #WEKA Trainable Segmentation imagej.net/plugins/tws/index

    3D/4D/ND Visualization:
    - 3D/4D Viewer #3DViewer imagej.net/plugins/3d-viewer/i with ray-tracing, orthoslices, volume rendering, and more
    - #BigDataViewer #BDV imagej.net/plugins/bdv/index for interactively navigate N-dimensional image volumes larger than RAM

    Image registration and serial section alignment:
    - #BigStitcher for registering 3D/4D tiled datasets, with multiview deconvolution and more imagej.net/plugins/bigstitcher
    - #TrakEM2 for montaging in 2D and alinging in 3D collections of serial sections, typically from #vEM (volume electron microscopy) syn.mrc-lmb.cam.ac.uk/acardona
    - #mpicbg libraries for extracting #SIFT and #MOPS features, then finding feature correspondences and estimating rigid and elastic transformation models nature.com/articles/nmeth.2072

    Summarizing #FijiSc is impossible. See the online forum where questions find answers by the hand of the broader community of users and developers forum.image.sc/

  6. Now onto #FijiSc: Fiji is a recursive acronym meaning "Fiji is just ImageJ" fji.sc (and the paper nature.com/articles/nmeth.2019 ) –and #ImageJ is a #java open source software for image processing imagej.nih.gov/ij/index.html written by Wayne Rasband from the #NIH Research Branch.

    An analogy: think of ImageJ as the kernel and Fiji as the rest of the operating system.

    #FijiSc brings to #ImageJ:
    (1) a package manager to install and update plugins, and that crucially enables reproducible science by exporting the whole set of plugins and libraries as an executable;
    (2) a Script Editor imagej.net/scripting/script-ed supporting many languages (#python, #groovy #ruby #scala #clojure and more), all with access to a huge collection of #JVM libraries;
    (3) huge amount of libraries such as #ImgLib2, #JFreeChart for plotting, for GUIs, etc.

    There are many, many plugins. A tiny sample:

    Machine learning-based image segmentation:
    - #LabKit imagej.net/plugins/labkit/
    - #WEKA Trainable Segmentation imagej.net/plugins/tws/index

    3D/4D/ND Visualization:
    - 3D/4D Viewer #3DViewer imagej.net/plugins/3d-viewer/i with ray-tracing, orthoslices, volume rendering, and more
    - #BigDataViewer #BDV imagej.net/plugins/bdv/index for interactively navigate N-dimensional image volumes larger than RAM

    Image registration and serial section alignment:
    - #BigStitcher for registering 3D/4D tiled datasets, with multiview deconvolution and more imagej.net/plugins/bigstitcher
    - #TrakEM2 for montaging in 2D and alinging in 3D collections of serial sections, typically from #vEM (volume electron microscopy) syn.mrc-lmb.cam.ac.uk/acardona
    - #mpicbg libraries for extracting #SIFT and #MOPS features, then finding feature correspondences and estimating rigid and elastic transformation models nature.com/articles/nmeth.2072

    Summarizing #FijiSc is impossible. See the online forum where questions find answers by the hand of the broader community of users and developers forum.image.sc/

  7. Now onto #FijiSc: Fiji is a recursive acronym meaning "Fiji is just ImageJ" fji.sc (and the paper nature.com/articles/nmeth.2019 ) –and #ImageJ is a #java open source software for image processing imagej.nih.gov/ij/index.html written by Wayne Rasband from the #NIH Research Branch.

    An analogy: think of ImageJ as the kernel and Fiji as the rest of the operating system.

    #FijiSc brings to #ImageJ:
    (1) a package manager to install and update plugins, and that crucially enables reproducible science by exporting the whole set of plugins and libraries as an executable;
    (2) a Script Editor imagej.net/scripting/script-ed supporting many languages (#python, #groovy #ruby #scala #clojure and more), all with access to a huge collection of #JVM libraries;
    (3) huge amount of libraries such as #ImgLib2, #JFreeChart for plotting, for GUIs, etc.

    There are many, many plugins. A tiny sample:

    Machine learning-based image segmentation:
    - #LabKit imagej.net/plugins/labkit/
    - #WEKA Trainable Segmentation imagej.net/plugins/tws/index

    3D/4D/ND Visualization:
    - 3D/4D Viewer #3DViewer imagej.net/plugins/3d-viewer/i with ray-tracing, orthoslices, volume rendering, and more
    - #BigDataViewer #BDV imagej.net/plugins/bdv/index for interactively navigate N-dimensional image volumes larger than RAM

    Image registration and serial section alignment:
    - #BigStitcher for registering 3D/4D tiled datasets, with multiview deconvolution and more imagej.net/plugins/bigstitcher
    - #TrakEM2 for montaging in 2D and alinging in 3D collections of serial sections, typically from #vEM (volume electron microscopy) syn.mrc-lmb.cam.ac.uk/acardona
    - #mpicbg libraries for extracting #SIFT and #MOPS features, then finding feature correspondences and estimating rigid and elastic transformation models nature.com/articles/nmeth.2072

    Summarizing #FijiSc is impossible. See the online forum where questions find answers by the hand of the broader community of users and developers forum.image.sc/