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Vesselucida 360

Software for 3D reconstruction and segmentation of vessels and microvasculature applicable to various species and imaging techniques including micro-CT.

Solution by MBF Bioscience
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Overview

Vesselucida 360 accurately segments and reconstructs vessels and microvasculature in 3D, enabling detailed analysis of vascular structures such as length, connections, loops, and complexity. It supports a range of microscopy techniques and is applicable to any species and organ, facilitating research into conditions like neurodegeneration, stroke, angiogenesis, and diabetic retinopathy.

This robust software offers automatic and semi-automatic reconstruction methods for various vascular structures, from larger arteries and veins to capillaries and anastomoses. Quantitative analysis of vasculature is crucial for understanding changes due to injury, aging, and disease states.

Key Benefits

  • Complete reconstruction of microvascular structures with precision
  • Quantification capabilities for vascular changes across models and cohorts
  • Compatibility with diverse imaging techniques, including micro-CT and light sheet microscopy
  • Advanced editing and modeling tools for accurate data interpretation

Advanced Features include dynamic visualization tools to efficiently trace complex vascular networks, machine learning for enhanced puncta detection, and standardized data formats ensuring findability, accessibility, interoperability, and reusability (FAIR). The software efficiently handles large and complex datasets with innovative image-processing capabilities.

Recommended Hardware includes a 64-bit Windows 11 operating system, a multi-core processor, ample system memory, and a capable graphics card to ensure optimal performance with large datasets.

Supported by the National Institute of Mental Health, Vesselucida 360 aids researchers in identifying post-injury capillary damage and regeneration, offering new opportunities for treatment advancements.

Meta

Category
Imaging & Digital Pathology
Field(s)
Imaging & Diagnostics
Target user(s)
Bench Scientist / Lab TechnicianClinical / Diagnostic Professional
Tag(s)
Digital Pathology / ImagingAI