Published March 11, 2023
| Version 1.0
Dataset
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Data from "Artificial intelligence velocimetry reveals in vivo flow rates, pressure gradients, and shear stresses in murine perivascular flows"
Creators
- 1. University of Rochester
Description
This is data from the paper "Artificial intelligence velocimetry reveals in vivo flow rates, pressure gradients, and shear stresses in murine perivascular flows" published in PNAS, 2023
This is the raw imaging data from Mouse 1. The .raw file is the particle tracking video, and Geometry4.mat is a Matlab file containing the 3D z-stack and accompanying segmentation (pvs_smooth). Details regarding the subject and imaging can be found in the published paper.
Additional codes and data used in the paper will be made available upon request.
Files
Files
(3.3 GB)
| Name | Size | Download all |
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md5:92b175518a577a59df80e72918862a7a
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199.8 MB | Download |
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md5:7a828a883807451848a8f04c3cb01d53
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3.1 GB | Download |