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SKYQUANT 3D: Quantifying Vascular Anatomy With an Open-Source Workflow for Comprehensive Analysis of Volumetric Optoacoustic Angiography Data. | LitMetric

AI Article Synopsis

  • * However, the complexity of OA data collection and processing can lead to inconsistent methodologies among different users and developers.
  • * To address this, SKYQUANT 3D is introduced as a Python-based workflow that streamlines the analysis of 3D OA images, enabling easier batch processing, quantitative analysis, and graphical representation of results demonstrated in various preclinical and clinical tests.

Article Abstract

Efficient visualization of the vascular system is of key importance in biomedical research into tumor angiogenesis, cerebrovascular alterations, and other angiopathies. Optoacoustic (OA) angiography offers a promising solution combining molecular optical contrast with high resolution and deep penetration of ultrasound. However, its hybrid nature implies complex data collection and processing workflows, with significant variability in methodologies across developers and users. To streamline interoperability, we introduce SKYQUANT 3D, a Python-based set of instructions for the Thermo Fisher Scientific Amira/Avizo 3D Visualization & Analysis Software. Our workflow simplifies the batch processing of volumetric optoacoustic angiography images, extracting meaningful quantitative information while also providing statistical analysis and graphical representation of the results. Quantification performance of SKYQUANT 3D is demonstrated using functional preclinical and clinical in vivo 3D OA angiographic tests involving ambient temperature variations and repositioning of the imaged limb.

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Source
http://dx.doi.org/10.1002/jbio.202400143DOI Listing

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