CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Automated Motion Tracking and Data Extraction for Red Blood Cell Biomechanics
Authors
Ronald W. Davis
Arun Kumar
+5 more
Anand K. Ramasubramanian
Amit K. Saha
Zyrina Alura C. Sanchez
Brendan R. Schmidt
Feyza Yazar
Publication date
1 June 2020
Publisher
SJSU ScholarWorks
Abstract
Red blood cell biomechanics can provide us with a deeper understanding of macroscopic physiology and have the potential of being used for diagnostic purposes. In diseases like sickle cell anemia and malaria, reduced red blood cell deformability can be used as a biomarker, leading to further assays and diagnoses. A microfluidic system is useful for studying these biomechanical properties. We can observe detailed red blood cell mechanical behavior as they flow through microcapillaries using high-speed imaging and microscopy. Microfluidic devices are advantageous over traditional methods because they can serve as high-throughput tests. However, to rapidly analyze thousands of cells, there is a need for powerful image processing tools and software automation. We describe a workflow process using Image-Pro to identify and track red blood cells in a video, take measurements, and export the data for use in statistical analysis tools. The information in this protocol can be applied to large-scale blood studies where entire cell populations need to be analyzed from many cohorts of donors. © 2020 The Authors. Basic Protocol 1: Enhancing raw video for motion tracking. Basic Protocol 2: Extracting motion tracking data from enhanced video
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
SJSU ScholarWorks
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:scholarworks.sjsu.edu:facu...
Last time updated on 08/10/2022