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xtension 'channel arithmetics  (MathWorks Inc)


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    MathWorks Inc xtension 'channel arithmetics
    Xtension 'Channel Arithmetics, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/xtension 'channel arithmetics/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    xtension 'channel arithmetics - by Bioz Stars, 2026-05
    90/100 stars

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    250um fixed sections of steady-state murine lymph nodes were stained with antibodies against various lymphocyte populations (CD3, CD4, CD8, B220, CD45), Ce3D cleared, imaged with confocal microscopy (40x objective), deconvolved, and corrected for depth attenuation. A) Volumetric reconstruction of the 3D image in Imaris. Scale bar – 200 μm. B) Image processing steps for cell segmentation. All cell membrane signals were normalized with respect to each other and summed together using Imaris Channel Arithmetics <t>XTension.</t> The Sum channel was next inverted, smoothed and corrected for contrast and gamma to enhance separation between cells. An optional enhancement step (bottom panels) was also performed by generating 2D skeletons on the Sum channel in ImageJ. The skeletons were next used for Boolean gating of the Inverse Sum channel outside of the skeleton signal using Channel Arithmetics. C) The enhanced Inverse Sum channel was used to generate cell surface objects in Imaris. D) Data on all cell objects was exported into Excel, concatenated into a single CSV file, and imported into FlowJo for hierarchical population gating and analysis (top panels). Positional visualization of the gated cells, presented as density distributions, was also performed in FlowJo (bottom panels). E) Cell object gating and visualization was also performed in Imaris using Object Filters and gating thresholds from (D). All tissues were isolated from mice maintained at an Association for Assessment and Accreditation of Laboratory Animal Care-accredited animal facility at NIAID. All procedures were approved by the NIAID Animal Care and Use Committee (NIH).
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    250um fixed sections of steady-state murine lymph nodes were stained with antibodies against various lymphocyte populations (CD3, CD4, CD8, B220, CD45), Ce3D cleared, imaged with confocal microscopy (40x objective), deconvolved, and corrected for depth attenuation. A) Volumetric reconstruction of the 3D image in Imaris. Scale bar – 200 μm. B) Image processing steps for cell segmentation. All cell membrane signals were normalized with respect to each other and summed together using Imaris Channel Arithmetics <t>XTension.</t> The Sum channel was next inverted, smoothed and corrected for contrast and gamma to enhance separation between cells. An optional enhancement step (bottom panels) was also performed by generating 2D skeletons on the Sum channel in ImageJ. The skeletons were next used for Boolean gating of the Inverse Sum channel outside of the skeleton signal using Channel Arithmetics. C) The enhanced Inverse Sum channel was used to generate cell surface objects in Imaris. D) Data on all cell objects was exported into Excel, concatenated into a single CSV file, and imported into FlowJo for hierarchical population gating and analysis (top panels). Positional visualization of the gated cells, presented as density distributions, was also performed in FlowJo (bottom panels). E) Cell object gating and visualization was also performed in Imaris using Object Filters and gating thresholds from (D). All tissues were isolated from mice maintained at an Association for Assessment and Accreditation of Laboratory Animal Care-accredited animal facility at NIAID. All procedures were approved by the NIAID Animal Care and Use Committee (NIH).
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    99/100 stars
      Buy from Supplier

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    250um fixed sections of steady-state murine lymph nodes were stained with antibodies against various lymphocyte populations (CD3, CD4, CD8, B220, CD45), Ce3D cleared, imaged with confocal microscopy (40x objective), deconvolved, and corrected for depth attenuation. A) Volumetric reconstruction of the 3D image in Imaris. Scale bar – 200 μm. B) Image processing steps for cell segmentation. All cell membrane signals were normalized with respect to each other and summed together using Imaris Channel Arithmetics XTension. The Sum channel was next inverted, smoothed and corrected for contrast and gamma to enhance separation between cells. An optional enhancement step (bottom panels) was also performed by generating 2D skeletons on the Sum channel in ImageJ. The skeletons were next used for Boolean gating of the Inverse Sum channel outside of the skeleton signal using Channel Arithmetics. C) The enhanced Inverse Sum channel was used to generate cell surface objects in Imaris. D) Data on all cell objects was exported into Excel, concatenated into a single CSV file, and imported into FlowJo for hierarchical population gating and analysis (top panels). Positional visualization of the gated cells, presented as density distributions, was also performed in FlowJo (bottom panels). E) Cell object gating and visualization was also performed in Imaris using Object Filters and gating thresholds from (D). All tissues were isolated from mice maintained at an Association for Assessment and Accreditation of Laboratory Animal Care-accredited animal facility at NIAID. All procedures were approved by the NIAID Animal Care and Use Committee (NIH).

    Journal: Nature protocols

    Article Title: High-dimensional cell-level analysis of tissues with Ce3D multiplex volume imaging

    doi: 10.1038/s41596-019-0156-4

    Figure Lengend Snippet: 250um fixed sections of steady-state murine lymph nodes were stained with antibodies against various lymphocyte populations (CD3, CD4, CD8, B220, CD45), Ce3D cleared, imaged with confocal microscopy (40x objective), deconvolved, and corrected for depth attenuation. A) Volumetric reconstruction of the 3D image in Imaris. Scale bar – 200 μm. B) Image processing steps for cell segmentation. All cell membrane signals were normalized with respect to each other and summed together using Imaris Channel Arithmetics XTension. The Sum channel was next inverted, smoothed and corrected for contrast and gamma to enhance separation between cells. An optional enhancement step (bottom panels) was also performed by generating 2D skeletons on the Sum channel in ImageJ. The skeletons were next used for Boolean gating of the Inverse Sum channel outside of the skeleton signal using Channel Arithmetics. C) The enhanced Inverse Sum channel was used to generate cell surface objects in Imaris. D) Data on all cell objects was exported into Excel, concatenated into a single CSV file, and imported into FlowJo for hierarchical population gating and analysis (top panels). Positional visualization of the gated cells, presented as density distributions, was also performed in FlowJo (bottom panels). E) Cell object gating and visualization was also performed in Imaris using Object Filters and gating thresholds from (D). All tissues were isolated from mice maintained at an Association for Assessment and Accreditation of Laboratory Animal Care-accredited animal facility at NIAID. All procedures were approved by the NIAID Animal Care and Use Committee (NIH).

    Article Snippet: All cell membrane signals were normalized with respect to each other and summed together using Imaris Channel Arithmetics XTension.

    Techniques: Staining, Confocal Microscopy, Membrane, Isolation

    250um fixed sections of steady-state murine lymph nodes were stained with antibodies against various lymphocyte populations (CD3, CD4, CD8, B220, CD45), Ce3D cleared, imaged with confocal microscopy (40x objective), deconvolved, and corrected for depth attenuation. A) Volumetric reconstruction of the 3D image in Imaris. Scale bar – 200 μm. B) Image processing steps for cell segmentation. All cell membrane signals were normalized with respect to each other and summed together using Imaris Channel Arithmetics XTension. The Sum channel was next inverted, smoothed and corrected for contrast and gamma to enhance separation between cells. An optional enhancement step (bottom panels) was also performed by generating 2D skeletons on the Sum channel in ImageJ. The skeletons were next used for Boolean gating of the Inverse Sum channel outside of the skeleton signal using Channel Arithmetics. C) The enhanced Inverse Sum channel was used to generate cell surface objects in Imaris. D) Data on all cell objects was exported into Excel, concatenated into a single CSV file, and imported into FlowJo for hierarchical population gating and analysis (top panels). Positional visualization of the gated cells, presented as density distributions, was also performed in FlowJo (bottom panels). E) Cell object gating and visualization was also performed in Imaris using Object Filters and gating thresholds from (D). All tissues were isolated from mice maintained at an Association for Assessment and Accreditation of Laboratory Animal Care-accredited animal facility at NIAID. All procedures were approved by the NIAID Animal Care and Use Committee (NIH).

    Journal: Nature protocols

    Article Title: High-dimensional cell-level analysis of tissues with Ce3D multiplex volume imaging

    doi: 10.1038/s41596-019-0156-4

    Figure Lengend Snippet: 250um fixed sections of steady-state murine lymph nodes were stained with antibodies against various lymphocyte populations (CD3, CD4, CD8, B220, CD45), Ce3D cleared, imaged with confocal microscopy (40x objective), deconvolved, and corrected for depth attenuation. A) Volumetric reconstruction of the 3D image in Imaris. Scale bar – 200 μm. B) Image processing steps for cell segmentation. All cell membrane signals were normalized with respect to each other and summed together using Imaris Channel Arithmetics XTension. The Sum channel was next inverted, smoothed and corrected for contrast and gamma to enhance separation between cells. An optional enhancement step (bottom panels) was also performed by generating 2D skeletons on the Sum channel in ImageJ. The skeletons were next used for Boolean gating of the Inverse Sum channel outside of the skeleton signal using Channel Arithmetics. C) The enhanced Inverse Sum channel was used to generate cell surface objects in Imaris. D) Data on all cell objects was exported into Excel, concatenated into a single CSV file, and imported into FlowJo for hierarchical population gating and analysis (top panels). Positional visualization of the gated cells, presented as density distributions, was also performed in FlowJo (bottom panels). E) Cell object gating and visualization was also performed in Imaris using Object Filters and gating thresholds from (D). All tissues were isolated from mice maintained at an Association for Assessment and Accreditation of Laboratory Animal Care-accredited animal facility at NIAID. All procedures were approved by the NIAID Animal Care and Use Committee (NIH).

    Article Snippet: Sum the cell membrane channels representing the cell types of interest using the Channel Arithmetics XTension in Imaris to generate a Composite Sum channel.

    Techniques: Staining, Confocal Microscopy, Membrane, Isolation