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
Sign In
Advertise with Us
LGC Clinical Diagnostics

Download Mobile App




Fine-Scale Histologic Features Estimated at Low Magnification

By LabMedica International staff writers
Posted on 03 Jul 2018
Print article
Image: The Aperio Scanscope XT whole-slide scanner (Photo courtesy of Leica Microsystems).
Image: The Aperio Scanscope XT whole-slide scanner (Photo courtesy of Leica Microsystems).
Whole-slide imaging has ushered in a new era of technology that has fostered the use of computational image analysis for diagnostic support and has begun to transfer the act of analyzing a slide to computer monitors.

Due to the overwhelming amount of detail available in whole-slide images, analytic procedures, whether computational or visual, often operate at magnifications lower than the magnification at which the image was acquired and as a result, a corresponding reduction in image resolution occurs.

A team of scientists led by those at Drexel University College of Medicine (Philadelphia, PA, USA) examined the correspondence between the color and spatial properties of whole-slide images to elucidate the impact of resolution reduction on the histologic attributes of the slide. They simulated image resolution reduction and modeled its effect on classification of the underlying histologic structure. By harnessing measured histologic features and the intrinsic spatial relationships between histologic structures, they developed a predictive model to estimate the histologic composition of tissue in a manner that exceeds the resolution of the image.

The scientists acquired high-resolution (0.25 µm/pixel) digital images of H&E-stained slides from 88 excised breast specimens at ×40 magnification using the Aperio Scanscope XT whole-slide scanner. For each whole-slide image, they selected two regions of interest (ROIs) for analysis, each 800 µm × 800 µm in size, with an effort made to capture epithelium and stroma. To estimate histologic composition from low-magnification images, they developed a model that uses the color of a pixel to surmise its content. By exploiting the spatial relationships between histologic elements, and measuring their individual color properties, they derived axes in hue-saturation-value (HSV) space that can be used to predict the histologic composition of a pixel.

The team analyzed 79 images acquired at ×40 magnification using whole-slide imaging. Images were stored in a proprietary format that enabled direct access to the image at lower resolutions, thereby reducing bandwidth and facilitating rapid loading for viewing and analysis. The investigators reported that reduction in resolution resulted in a significant loss of the ability to accurately characterize histologic components at magnifications less than ×10, but by utilizing pixel color, this ability was improved at all magnifications.

The authors concluded that multiscale analysis of histologic images requires an adequate understanding of the limitations imposed by image resolution and their findings suggest that some of these limitations may be overcome with computational modeling. The study was published on June 18, 2018, in the journal Archives Of Pathology & Laboratory Medicine.

Related Links:
Drexel University College of Medicine

Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
HLX
Complement 3 (C3) Test
GPP-100 C3 Kit
Gold Member
Xylazine Immunoassay Test
Xylazine ELISA

Print article

Channels

Clinical Chemistry

view channel
Image: Reaching speeds up to 6,000 RPM, this centrifuge forms the basis for a new type of inexpensive, POC biomedical test (Photo courtesy of Duke University)

POC Biomedical Test Spins Water Droplet Using Sound Waves for Cancer Detection

Exosomes, tiny cellular bioparticles carrying a specific set of proteins, lipids, and genetic materials, play a crucial role in cell communication and hold promise for non-invasive diagnostics.... Read more

Molecular Diagnostics

view channel
Image: The study showed the blood-based cancer screening test detects 83% of people with colorectal cancer with specificity of 90% (Photo courtesy of Guardant Health)

Blood Test Shows 83% Accuracy for Detecting Colorectal Cancer

Colorectal cancer is the second biggest cause of cancer deaths among adults in the U.S., with forecasts suggesting 53,010 people might die from it in 2024. While fewer older adults are dying from this... Read more

Hematology

view channel
Image: The Gazelle Hb Variant Test (Photo courtesy of Hemex Health)

First Affordable and Rapid Test for Beta Thalassemia Demonstrates 99% Diagnostic Accuracy

Hemoglobin disorders rank as some of the most prevalent monogenic diseases globally. Among various hemoglobin disorders, beta thalassemia, a hereditary blood disorder, affects about 1.5% of the world's... Read more

Microbiology

view channel
Image: The new platform is designed to perform blood-based diagnoses of nontuberculosis mycobacteria (Photo courtesy of 123RF)

New Blood Test Cuts Diagnosis Time for Nontuberculous Mycobacteria Infections from Months to Hours

Breathing in nontuberculous mycobacteria (NTM) is a common experience for many people. These bacteria are present in water systems, soil, and dust all over the world and usually don't cause any problems.... Read more

Industry

view channel
Image: These new assays are being developed for use on the recently introduced DxI 9000 Immunoassay Analyzer (Photo courtesy of Beckman Coulter)

Beckman Coulter and Fujirebio Expand Partnership on Neurodegenerative Disease Diagnostics

Beckman Coulter Diagnostics (Brea, CA, USA) and Fujirebio Diagnostics (Tokyo, Japan) have expanded their partnership focused on the development, manufacturing and clinical adoption of neurodegenerative... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.