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.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Noninvasive Device Measures Hemoglobin More Accurately in Individuals with Darker Skin Pigmentations

By LabMedica International staff writers
Posted on 31 Oct 2022
Image: New tech aims to reduce racial disparities in blood measurements (Photo courtesy of University of Texas at Arlington)
Image: New tech aims to reduce racial disparities in blood measurements (Photo courtesy of University of Texas at Arlington)

Racial disparities in hemoglobin and blood oxygen measurements are an urgent public health issue. The devices presently in use are inaccurate in people with dark skin. Most methods for monitoring hemoglobin require blood samples and expensive equipment. Currently available pulse-oximeters use red-infrared light and are based on technology first designed more than 50 years ago. The available noninvasive spectroscopic methods have a high degree of variability and often are inaccurate in people of color due to differences in skin melanin. There is a significant unmet need for a reliable, noninvasive device to estimate hemoglobin, irrespective of skin color. Now, researchers have demonstrated a new device that measures hemoglobin more accurately in individuals with darker skin pigmentations by using the spectroscopic properties of hemoglobin in the blue-green light spectra.

In a clinical study, a team of researchers at the University of Texas at Arlington (Arlington, TX, USA) along with Shani Biotechnologies LLC (Austin, TX, USA) measured the hemoglobin and oxygen content of 16 healthy volunteers using the newly developed technology. The team compared the results to those obtained using a commercially available pulse-oximeter for accuracy and variability. The findings of the study are encouraging, and the new technology has massive potential to address this clinical unmet need. The researchers intend to develop a wearable device, such as a watch or a monitor, that would read the blood through the skin.

“We have used the green-blue light and have successfully tested the device in preclinical and clinical studies,” said Dr. Vinoop Daggubati of Shani Biotechnologies LLC. “Our group has addressed the issues around shorter wavelength, scattering of light and the impact of skin melanin. The scientific community should open its mind to the concept of green light for these measurements. The Shani device has huge potential to eliminate this racial disparity.”

Related Links:
University of Texas at Arlington 
Shani Biotechnologies 

Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
βeta-Hydroxybutyrate Reagent
β-Hydroxybutyrate LiquiColor®
Platinum Member
Integrated Biochemical & Immunological System
Biolumi CX Solution X10+C10
Gold Member
Flocked Fiber Swabs
Puritan® Patented HydraFlock®

Channels

Clinical Chemistry

view channel
Image

Blood Protein Analysis Reveals Menopause-Associated Signals of Brain Aging

Menopause affects women across midlife and is often accompanied by endocrine changes, hot flashes, brain fog and sleep disturbances. Women spend roughly one third of their lives after the menopause transition,... Read more

Molecular Diagnostics

view channel
Image Credit: Adobe Stock

AI-Supported Approach May Improve Cervical Cancer Screening in Low-Resource Settings

Cervical cancer screening coverage often remains below 15% in low- and middle-income countries. Limited accuracy of visual inspection with acetic acid, together with uneven access to high-quality human... Read more

Microbiology

view channel
Image: Four-quadrant streaking of fecal samples on chromogenic UTI agar shows various patterns of relative bacterial species abundance. The assorted shapes of the pinkish colonies indicate different E. coli strains. (Photo courtesy of Sokurenko Lab)

Stool Testing Predicts UTI Risk and Guides Antibiotic Selection

Urinary tract infections (UTIs) are a common reason for antibiotic prescribing in general medical practice and can be painful in postmenopausal women, sometimes progressing to kidney infection or life-threatening... Read more

Pathology

view channel
AI: Artificial intelligence; CNN: Convolutional neural networks; ResNet: Residual neural network. (Xing-hua Gao from The First Hospital of China Medical University, China Image Source Link: https://www.ovid.com/jnls/cmj/fulltext/10.1097/cm9.0000000000004154~deep-learning-based-computational-pathology-technologies)

Review Highlights Progress and Validation Needs for AI in Digital Pathology

Pathology remains the gold standard for disease diagnosis, but clinical laboratories face growing demands for faster, more reproducible diagnostic and prognostic workflows. Digital pathology based on whole-slide... Read more

Industry

view channel
Image: SG-INSIGHT study will extend whole- genome sequencing to nearly 1 in 10 Singapore residents, generating evidence to inform how precision medicine could be implemented in Singapore’s healthcare system. (Photo courtesy of Precision Health Research, Singapore)

Illumina Selected to Support National Genomics Study for Personalized Healthcare in Singapore

Singapore’s National Precision Medicine program is using genomic and health data to support more preventive and personalized healthcare. Its latest phase expands beyond healthy volunteers to people with... Read more