Review



segmentation-less automated vascular vectorization (slavv) software  (MathWorks Inc)


Bioz Verified Symbol MathWorks Inc is a verified supplier  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 90
      Buy from Supplier

    Structured Review

    MathWorks Inc segmentation-less automated vascular vectorization (slavv) software
    Experimental Methods: (a) Mouse cortex is imaged in vivo through a cranial window using a tiling protocol to cover as large of a volume as possible in a single imaging session. The stitched image is vectorized using the <t>SLAVV</t> software for reconstruction, visualization, and statistical analysis. The vessel directions (as well as the borders of the 2PM images and the ROI borders) are color-coded with respect to their alignment with the imaging coordinate system: ( xyz <->CMY). (b) LSCI is used to orient the 2PM imaging session to reproducibly image the same (∼1 mm 3 ) volume longitudinally over several imaging sessions at two-week intervals and at a depth greater than 600 micrometers. Displayed is an orthographic projection in the (optical) z- axis of a tiled image volume of a healthy control subject. Lateral orthographic projections show the longitudinal imaging reproducibility and (c) the longitudinal experiment is repeated around a photothrombotic injury. The infarct appears to be contained to a (yellow) circle with a radius of approximately 1 mm in the LSCI post-stroke image. The x-projected 2PM image reveals that a (transparent cyan) spherical ROI beneath the surface approximates the shape of the infarct. Scale bars are 200 μm.
    Segmentation Less Automated Vascular Vectorization (Slavv) Software, 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/segmentation-less automated vascular vectorization (slavv) software/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    segmentation-less automated vascular vectorization (slavv) software - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "Microvascular plasticity in mouse stroke model recovery: Anatomy statistics, dynamics measured by longitudinal in vivo two-photon angiography, network vectorization"

    Article Title: Microvascular plasticity in mouse stroke model recovery: Anatomy statistics, dynamics measured by longitudinal in vivo two-photon angiography, network vectorization

    Journal: Journal of Cerebral Blood Flow & Metabolism

    doi: 10.1177/0271678X241270465

    Experimental Methods: (a) Mouse cortex is imaged in vivo through a cranial window using a tiling protocol to cover as large of a volume as possible in a single imaging session. The stitched image is vectorized using the SLAVV software for reconstruction, visualization, and statistical analysis. The vessel directions (as well as the borders of the 2PM images and the ROI borders) are color-coded with respect to their alignment with the imaging coordinate system: ( xyz <->CMY). (b) LSCI is used to orient the 2PM imaging session to reproducibly image the same (∼1 mm 3 ) volume longitudinally over several imaging sessions at two-week intervals and at a depth greater than 600 micrometers. Displayed is an orthographic projection in the (optical) z- axis of a tiled image volume of a healthy control subject. Lateral orthographic projections show the longitudinal imaging reproducibility and (c) the longitudinal experiment is repeated around a photothrombotic injury. The infarct appears to be contained to a (yellow) circle with a radius of approximately 1 mm in the LSCI post-stroke image. The x-projected 2PM image reveals that a (transparent cyan) spherical ROI beneath the surface approximates the shape of the infarct. Scale bars are 200 μm.
    Figure Legend Snippet: Experimental Methods: (a) Mouse cortex is imaged in vivo through a cranial window using a tiling protocol to cover as large of a volume as possible in a single imaging session. The stitched image is vectorized using the SLAVV software for reconstruction, visualization, and statistical analysis. The vessel directions (as well as the borders of the 2PM images and the ROI borders) are color-coded with respect to their alignment with the imaging coordinate system: ( xyz <->CMY). (b) LSCI is used to orient the 2PM imaging session to reproducibly image the same (∼1 mm 3 ) volume longitudinally over several imaging sessions at two-week intervals and at a depth greater than 600 micrometers. Displayed is an orthographic projection in the (optical) z- axis of a tiled image volume of a healthy control subject. Lateral orthographic projections show the longitudinal imaging reproducibility and (c) the longitudinal experiment is repeated around a photothrombotic injury. The infarct appears to be contained to a (yellow) circle with a radius of approximately 1 mm in the LSCI post-stroke image. The x-projected 2PM image reveals that a (transparent cyan) spherical ROI beneath the surface approximates the shape of the infarct. Scale bars are 200 μm.

    Techniques Used: In Vivo, Imaging, Software, Control



    Similar Products

    segmentation-less automated vascular vectorization (slavv) software  (MathWorks Inc)
    90
    MathWorks Inc segmentation-less automated vascular vectorization (slavv) software
    Experimental Methods: (a) Mouse cortex is imaged in vivo through a cranial window using a tiling protocol to cover as large of a volume as possible in a single imaging session. The stitched image is vectorized using the <t>SLAVV</t> software for reconstruction, visualization, and statistical analysis. The vessel directions (as well as the borders of the 2PM images and the ROI borders) are color-coded with respect to their alignment with the imaging coordinate system: ( xyz <->CMY). (b) LSCI is used to orient the 2PM imaging session to reproducibly image the same (∼1 mm 3 ) volume longitudinally over several imaging sessions at two-week intervals and at a depth greater than 600 micrometers. Displayed is an orthographic projection in the (optical) z- axis of a tiled image volume of a healthy control subject. Lateral orthographic projections show the longitudinal imaging reproducibility and (c) the longitudinal experiment is repeated around a photothrombotic injury. The infarct appears to be contained to a (yellow) circle with a radius of approximately 1 mm in the LSCI post-stroke image. The x-projected 2PM image reveals that a (transparent cyan) spherical ROI beneath the surface approximates the shape of the infarct. Scale bars are 200 μm.
    Segmentation Less Automated Vascular Vectorization (Slavv) Software, 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/segmentation-less automated vascular vectorization (slavv) software/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    segmentation-less automated vascular vectorization (slavv) software - by Bioz Stars, 2026-04
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Experimental Methods: (a) Mouse cortex is imaged in vivo through a cranial window using a tiling protocol to cover as large of a volume as possible in a single imaging session. The stitched image is vectorized using the SLAVV software for reconstruction, visualization, and statistical analysis. The vessel directions (as well as the borders of the 2PM images and the ROI borders) are color-coded with respect to their alignment with the imaging coordinate system: ( xyz <->CMY). (b) LSCI is used to orient the 2PM imaging session to reproducibly image the same (∼1 mm 3 ) volume longitudinally over several imaging sessions at two-week intervals and at a depth greater than 600 micrometers. Displayed is an orthographic projection in the (optical) z- axis of a tiled image volume of a healthy control subject. Lateral orthographic projections show the longitudinal imaging reproducibility and (c) the longitudinal experiment is repeated around a photothrombotic injury. The infarct appears to be contained to a (yellow) circle with a radius of approximately 1 mm in the LSCI post-stroke image. The x-projected 2PM image reveals that a (transparent cyan) spherical ROI beneath the surface approximates the shape of the infarct. Scale bars are 200 μm.

    Journal: Journal of Cerebral Blood Flow & Metabolism

    Article Title: Microvascular plasticity in mouse stroke model recovery: Anatomy statistics, dynamics measured by longitudinal in vivo two-photon angiography, network vectorization

    doi: 10.1177/0271678X241270465

    Figure Lengend Snippet: Experimental Methods: (a) Mouse cortex is imaged in vivo through a cranial window using a tiling protocol to cover as large of a volume as possible in a single imaging session. The stitched image is vectorized using the SLAVV software for reconstruction, visualization, and statistical analysis. The vessel directions (as well as the borders of the 2PM images and the ROI borders) are color-coded with respect to their alignment with the imaging coordinate system: ( xyz <->CMY). (b) LSCI is used to orient the 2PM imaging session to reproducibly image the same (∼1 mm 3 ) volume longitudinally over several imaging sessions at two-week intervals and at a depth greater than 600 micrometers. Displayed is an orthographic projection in the (optical) z- axis of a tiled image volume of a healthy control subject. Lateral orthographic projections show the longitudinal imaging reproducibility and (c) the longitudinal experiment is repeated around a photothrombotic injury. The infarct appears to be contained to a (yellow) circle with a radius of approximately 1 mm in the LSCI post-stroke image. The x-projected 2PM image reveals that a (transparent cyan) spherical ROI beneath the surface approximates the shape of the infarct. Scale bars are 200 μm.

    Article Snippet: 2PM volumetric angiographs were vectorized using the Segmentation-less Automated Vascular Vectorization (SLAVV) software in MATLAB with two notable additions to improve throughput: (1) Machine learning assisted the manual curation task (2) A maximum resolution constraint was imposed to improve the computational efficiency for the larger vessels in the image.

    Techniques: In Vivo, Imaging, Software, Control