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DOI 10.1101/2023.07.20.549937

Медицинская библиотека · bioRxiv : the preprint server for biology · 2023

Image Analysis Techniques for In Vivo Quantification of Cerebrospinal Fluid Flow.

Kim Daehyun, Gan Yiming, Nedergaard Maiken, Kelley Douglas H, Tithof Jeffrey

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Аннотация

Over the last decade, there has been a tremendously increased interest in understanding the neurophysiology of cerebrospinal fluid (CSF) flow, which plays a crucial role in clearing metabolic waste from the brain. This growing interest was largely initiated by two significant discoveries: the glymphatic system (a pathway for solute exchange between interstitial fluid deep within the brain and the CSF surrounding the brain) and meningeal lymphatic vessels (lymphatic vessels in the layer of tissue surrounding the brain that drain CSF). These two CSF systems work in unison, and their disruption has been implicated in several neurological disorders including Alzheimer's disease, stoke, and traumatic brain injury. Here, we present experimental techniques for in vivo quantification of CSF flow via direct imaging of fluorescent microspheres injected into the CSF. We discuss detailed image processing methods, including registration and masking of stagnant particles, to improve the quality of measurements. We provide guidance for quantifying CSF flow through particle tracking and offer tips for optimizing the process. Additionally, we describe techniques for measuring changes in arterial diameter, which is an hypothesized CSF pumping mechanism. Finally, we outline how these same techniques can be applied to cervical lymphatic vessels, which collect fluid downstream from meningeal lymphatic vessels. We anticipate that these fluid mechanical techniques will prove valuable for future quantitative studies aimed at understanding mechanisms of CSF transport and disruption, as well as for other complex biophysical systems.

Для цитирования: Kim Daehyun, Gan Yiming, Nedergaard Maiken, Kelley Douglas H, Tithof Jeffrey. Image Analysis Techniques for In Vivo Quantification of Cerebrospinal Fluid Flow.. bioRxiv : the preprint server for biology. 2023. DOI: 10.1101/2023.07.20.549937.
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