Supplementary Material - Semi-automated analysis of cerebral capillary red blood cells velocities allows modeling of transit times distribution after experimental subarachnoid hemorrhage in mice.

Supplementary material providing detailed methodological and quantitative data supporting the main article published in Neurophotonics in May 2025. It includes uncertainty assessments related to imaging resolution and vessel orientation, longitudinal RBC velocity data across individual capillaries before/after SAH and transit time modeling using different capillary length assumptions and statistical distributions.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-01
DOI
https://doi.org/10.5281/zenodo.15319244
Primary Topic
Statistical Methods in Epidemiology
Type
article
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article

Supplementary Material - Semi-automated analysis of cerebral capillary red blood cells velocities allows modeling of transit times distribution after experimental subarachnoid hemorrhage in mice.

Zenodo (CERN European Organization for Nuclear Research)
Statistical Methods in Epidemiology
article

Supplementary Material - Semi-automated analysis of cerebral capillary red blood cells velocities allows modeling of transit times distribution after experimental subarachnoid hemorrhage in mice.

article en

Abstract

Supplementary material providing detailed methodological and quantitative data supporting the main article published in Neurophotonics in May 2025. It includes uncertainty assessments related to imaging resolution and vessel orientation, longitudinal RBC velocity data across individual capillaries before/after SAH and transit time modeling using different capillary length assumptions and statistical distributions.

Zenodo (CERN European Organization for Nuclear Research)
Centre National de la Recherche Scientifique (FR), Centre Hospitalier Universitaire de Montpellier (FR), Délégation Languedoc Roussillon (FR), Institut de Génomique Fonctionnelle (FR)
Openalex Percentile: Top 56%
Statistical Methods in Epidemiology
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