A newly developed technique uses a Bessel beam to extend the focus of optical coherence microscopy, allowing for a detailed imaging of large sections of the brain. Unlike traditional methods that either look at tiny volumes or lose detail over larger areas, this approach provides a comprehensive view of the vascular network.
By integrating high-sensitivity Doppler optical coherence tomography with advanced data processing algorithms, the researchers can precisely measure blood flow velocities and directions across thousands of brain vessels. This technique ultimately makes it possible to capture the interplay between blood flow, vessel size, and connectivity within the brain’s intricate microvascular network.
Understanding the brain’s vascular network is crucial for studying brain function and neurological diseases such as Alzheimer’s and stroke. This new imaging method enables researchers to observe changes in blood flow and vessel connectivity over time, providing valuable insights into how these conditions develop and progress. The findings are published in the journal Light: Science & Applications.
Moreover, by visualizing these changes in an intact living brain, the technique allows for the assessment of how potential treatments impact brain blood flow, thus marking a significant advancement in neurological research.
The researchers plan to extend the application of this technology to study a range of neurovascular conditions, starting with the effects of stroke and its potential treatments on the blood flow in affected brain regions. Applications to other organs and diseases are also envisioned, which could significantly facilitate vascular research and development of targeted therapies.
More information:
Lukas Glandorf et al, Bessel beam optical coherence microscopy enables multiscale assessment of cerebrovascular network morphology and function, Light: Science & Applications (2024). DOI: 10.1038/s41377-024-01649-1
Chinese Academy of Sciences
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New imaging technique reveals detailed map of brain’s blood flow in 3D (2024, November 15)
retrieved 15 November 2024
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