Two-step machine learning method for the rapid analysis of microvascular flow in intravital video microscopy
Abstract Microvascular blood flow is crucial for tissue and organ function and is often severely affected by diseases. Therefore, investigating the microvasculature under different pathological circumstances is essential to understand the role of the microcirculation in health and sickness. Microvas...
Saved in:
Main Authors: | Ossama Mahmoud, Mahmoud El-Sakka, Barry G. H. Janssen |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/34ca9b80a1b74d5db3d38ce65d1ea0c2 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
High-resolution intravital microscopy.
by: Volker Andresen, et al.
Published: (2012) -
Intravital fluorescence microscopy with negative contrast.
by: Juwell W Wu, et al.
Published: (2021) -
Intraoperative intravital microscopy permits the study of human tumour vessels
by: Daniel T. Fisher, et al.
Published: (2016) -
Intravital imaging by simultaneous label-free autofluorescence-multiharmonic microscopy
by: Sixian You, et al.
Published: (2018) -
A pilot trial of intravital microscopy in the study of the tumor vasculature of patients with peritoneal carcinomatosis
by: Emmanuel M. Gabriel, et al.
Published: (2021)