This code is associated with the paper from Joseph et al., "Imaging single-cell blood flow in the smallest to largest vessels in the living retina". eLife, 2019. http://dx.doi.org/10.7554/eLife.45077 . Made available here is an analysis pipeline for measuring diameter and single-cell velocity of blood cells from space-time images captured with an adaptive optics scanning light ophthalmoscope (AOSLO). For questions, please contact Aby Joseph (aby.joseph@rochester.edu, dreamworks1991@gmail.com). If you find this code useful, please cite our paper: Joseph et al. 2019 "Imaging single-cell blood flow in the smallest to largest vessels in the living retina" eLife 2019;8:e45077
-
Notifications
You must be signed in to change notification settings - Fork 4
This code is associated with the paper from Joseph et al., "Imaging single-cell blood flow in the smallest to largest vessels in the living retina". eLife, 2019. http://dx.doi.org/10.7554/eLife.45077 . Made available here is an analysis pipeline for measuring diameter and single-cell velocity of blood cells from space-time images captured with a…
License
abyjoseph1991/single_cell_blood_flow
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This code is associated with the paper from Joseph et al., "Imaging single-cell blood flow in the smallest to largest vessels in the living retina". eLife, 2019. http://dx.doi.org/10.7554/eLife.45077 . Made available here is an analysis pipeline for measuring diameter and single-cell velocity of blood cells from space-time images captured with a…
Resources
License
Stars
Watchers
Forks
Releases
No releases published