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A Validation of Spatially Compounded Volumetric Ultrasound Localization Microscopy for Glomerular Imaging With Light
Tyler J Gildemeister1, Hatim Belgharbi1, Rachel W Walmer2
1Lampe Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, USA.
Ultrasound in Medicine & Biology
|June 9, 2026
Summary
Whole-kidney ultrasound localization microscopy (ULM) offers a new way to see glomeruli and blood flow in the kidney. This imaging technique shows promise for assessing kidney health non-invasively.
Area of Science:
- Nephrology
- Biomedical Imaging
- Medical Diagnostics
Background:
- Current kidney health assessments rely on indirect markers or invasive biopsies.
- Existing imaging methods lack the resolution for in vivo glomerular visualization across the entire kidney.
Purpose of the Study:
- To perform whole-kidney ultrasound localization microscopy (ULM) for quantifying glomerular microvascular structure and function.
- To evaluate ULM's performance against light-sheet microscopy (LSM) as a gold standard.
Main Methods:
- High-frame-rate ULM was used for whole-kidney imaging in a rat model.
- Microbubble contrast agents and advanced processing reconstructed renal vasculature.
- Spatially registered volumetric data provided a comprehensive kidney dataset.
- Light-sheet microscopy (LSM) was used for gold-standard comparison.
Main Results:
- ULM achieved sub-diffraction resolution, visualizing cortical vasculature and individual glomeruli.
- Glomerular density measurements by ULM (21.3 ± 8.0/mm³) closely matched LSM (28.6 ± 7.5/mm³) and histological data.
- ULM successfully visualized microvascular flow velocities throughout the kidney.
Conclusions:
- ULM is validated as a proof-of-concept for quantitative in vivo glomerular assessment.
- ULM shows potential for whole-kidney, glomerulus-level assessment of renal microstructure and hemodynamics.
- This technique holds promise for future translational applications in kidney disease diagnosis and monitoring.

