We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App





New Diagnostic Combines Fast Imaging Hardware with Data Analysis to Indicate Blood Clotting in COVID-19 Patients

By LabMedica International staff writers
Posted on 14 Dec 2021

Physicians treating coronavirus infections have a new diagnostic that could help identify COVID-19 patients at a risk of organ failure. More...

In a study of microvascular thrombosis in COVID-19 patients, researchers at the University of Tokyo (Tokyo, Japan) and University of Virginia (Charlottesville, VA, USA) conducted data and image analysis of the patients’ blood samples. They found an unusual presence of excessive platelet aggregation – an early indicator of microvascular thrombosis – in close to 90% of the patients.

Computing image features allowed the team to quantify individual platelets and platelet aggregates. An increase in platelet aggregates was correlated with worsening patient condition; moreover, they found strong links between the concentration of platelet aggregates and the severity, mortality, respiratory condition and vascular endothelial dysfunction level of the patients in the study. The technology generates data within a matter of hours and could potentially permit medical staff to determine patients at risk for micro thrombosis-related issues.

The team now plans to continue this line of research, expanding computational analysis to other aspects of the images. For the moment, the merger of medicine, hardware engineering, optical imaging, mathematical modeling and data science has strengthened medical professionals’ confidence in their ability to improve COVID-19 patient outcomes.

“People knew from autopsy data that multi-organ microvascular thrombosis is a factor in COVID-19 related deaths, but the underlying physiology with regards to platelet aggregates and morphology was an unknown,” said Gustavo Rohde, UVA professor of biomedical engineering and electrical and computer engineering. “Now we have a new technology that combines fast imaging hardware with data analysis to measure and characterize platelet morphology distribution from COVID-19 patient blood samples.”

“If you have to look at one thing as far as platelets are concerned, so far aggregate concentration seems to be the key indicator of a patient’s risk of thrombosis and its complications,” Rohde added. “We will need these types of measurements going forward, to monitor disease progression, to study complications from long-haul COVID-19, and to develop and test drugs that can prevent the blood clots from forming in the first place.”

Related Links:
University of Tokyo 
University of Virginia 


Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Gold Member
Universal Transport Solution
Puritan®UniTranz-RT
New
Prefilled Tubes
Prefilled 5.0ml Tubes
New
Automatic CLIA Analyzer
Shine i6000
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: Study results show blood protein levels change markedly in childhood and adolescence, with sex differences increasing with age (photo credit: Adobe Stock)

Proteomic Data Underscore Need for Age-Specific Pediatric Reference Ranges

Serum proteins underpin many routine tests used to detect inflammation, hormonal imbalance, cardiovascular disease, and metabolic disorders. Yet pediatric interpretation often relies on adult reference... Read more

Pathology

view channel
Image: Study flowchart. This study developed a multimodal artificial intelligence framework to predict PIK3CA mutations in breast cancer (Jiaxian Miao et al., Cancer Biol Med 23(3): 430–450 (2026). DOI: 10.20892/j.issn.2095-3941.2025.0771)

Multimodal AI Tool Predicts Genetic Alterations to Guide Breast Cancer Treatment

PIK3CA mutations are key biomarkers for selecting phosphoinositide 3-kinase (PI3K)–targeted therapies in breast cancer, yet access to molecular testing can be inconsistent and costly. Conventional polymerase... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.