Digital Pathology Software Improves Workflow Efficiency
By MedImaging International staff writers Posted on 31 Jan 2019 |

Image: uPath enterprise software provides improved digital pathology tools (Photo courtesy of Roche).
A novel software platform drastically decreases image-rendering times, integrates automated image analysis, and enables improved case sharing between pathologists.
The Roche (Basel, Switzerland) uPath enterprise software for digital pathology can help pathologists diagnose a patient case more quickly by viewing all slides in a single continuous view, as well as viewing all available patient information simultaneously. The multiple slides, which are presented on a canvas-like display, enabling seamless navigation between hematoxylin and eosin (HE), immunohistochemistry (IHC) and special stains in a single view, thanks to Leeds Virtual Microscope (LVM) technology, which is not possible with a standard microscope.
Analyses, both automated and manual, and slide markups are easily managed in the multi-slide viewer, while reporting features allow pathologists to aggregate notes, measurements, and slide scoring into easy-to-share images or PDFs. The customization offered through the uPath configurable interface and scalability allows pathologists to request second opinions and share cases in a fraction of the time that has traditionally been required, with no geographical limitations, unlike glass slides. LVM technology can also scale to display sizes ranging from laptops to high-definition wall screens.
"With this launch, we are able to deliver an improved digital pathology experience. We're excited to offer pathology labs a high-quality solution to help improve workflow efficiencies, accuracy, and precision tools,” said Jill German, Head of Roche Tissue Diagnostics. “This launch is another major milestone in our commitment to the advancement of patient care through digital pathology, empowering pathologists to deliver next-level personalized healthcare solutions.”
Digital pathology is an image-based information environment, which is enabled by computer technology, allowing for management of information generated from a digital slide. It is enabled in part by virtual microscopy, the conversion of glass slides into digital slides that can be viewed, managed, shared, and analyzed on a computer monitor. With the advent of whole-slide imaging, digital pathology is currently regarded as one of the most promising avenues of diagnostic medicine.
The Roche (Basel, Switzerland) uPath enterprise software for digital pathology can help pathologists diagnose a patient case more quickly by viewing all slides in a single continuous view, as well as viewing all available patient information simultaneously. The multiple slides, which are presented on a canvas-like display, enabling seamless navigation between hematoxylin and eosin (HE), immunohistochemistry (IHC) and special stains in a single view, thanks to Leeds Virtual Microscope (LVM) technology, which is not possible with a standard microscope.
Analyses, both automated and manual, and slide markups are easily managed in the multi-slide viewer, while reporting features allow pathologists to aggregate notes, measurements, and slide scoring into easy-to-share images or PDFs. The customization offered through the uPath configurable interface and scalability allows pathologists to request second opinions and share cases in a fraction of the time that has traditionally been required, with no geographical limitations, unlike glass slides. LVM technology can also scale to display sizes ranging from laptops to high-definition wall screens.
"With this launch, we are able to deliver an improved digital pathology experience. We're excited to offer pathology labs a high-quality solution to help improve workflow efficiencies, accuracy, and precision tools,” said Jill German, Head of Roche Tissue Diagnostics. “This launch is another major milestone in our commitment to the advancement of patient care through digital pathology, empowering pathologists to deliver next-level personalized healthcare solutions.”
Digital pathology is an image-based information environment, which is enabled by computer technology, allowing for management of information generated from a digital slide. It is enabled in part by virtual microscopy, the conversion of glass slides into digital slides that can be viewed, managed, shared, and analyzed on a computer monitor. With the advent of whole-slide imaging, digital pathology is currently regarded as one of the most promising avenues of diagnostic medicine.
Latest Imaging IT News
- New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
- Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
- AI-Based Mammography Triage Software Helps Dramatically Improve Interpretation Process
- Artificial Intelligence (AI) Program Accurately Predicts Lung Cancer Risk from CT Images
- Image Management Platform Streamlines Treatment Plans
- AI-Based Technology for Ultrasound Image Analysis Receives FDA Approval
- AI Technology for Detecting Breast Cancer Receives CE Mark Approval
- Patient-Centric Portal Facilitates Direct Imaging Access
- New Workstation Supports Customer-Driven Imaging Workflow
Channels
Radiography
view channel
AI-Powered Mammography Screening Boosts Cancer Detection in Single-Reader Settings
A new study has revealed that an artificial intelligence (AI)-powered solution significantly improves cancer detection in single-reader mammography settings without increasing recall rates, offering a... Read more
Photon Counting Detectors Promise Fast Color X-Ray Images
For many years, healthcare professionals have depended on traditional 2D X-rays to diagnose common bone fractures, though small fractures or soft tissue damage, such as cancers, can often be missed.... Read moreMRI
view channel
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read more
First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
Each year, approximately 800,000 people in the U.S. experience strokes, with marginalized and minoritized groups being disproportionately affected. Strokes vary in terms of size and location within the... Read moreUltrasound
view channel
Artificial Intelligence Detects Undiagnosed Liver Disease from Echocardiograms
Echocardiography is a diagnostic procedure that uses ultrasound to visualize the heart and its associated structures. This imaging test is commonly used as an early screening method when doctors suspect... Read more
Ultrasound Imaging Non-Invasively Tracks Tumor Response to Radiation and Immunotherapy
While immunotherapy holds promise in the fight against triple-negative breast cancer, many patients fail to respond to current treatments. A major challenge has been predicting and monitoring how individual... Read moreNuclear Medicine
view channel
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read more
Innovative PET Imaging Technique to Help Diagnose Neurodegeneration
Neurodegenerative diseases, such as amyotrophic lateral sclerosis (ALS) and Alzheimer’s disease, are often diagnosed only after physical symptoms appear, by which time treatment may no longer be effective.... Read moreGeneral/Advanced Imaging
view channel
AI Reduces CT Lung Cancer Screening Workload by Almost 80%
Lung cancer impacts over 48,000 individuals in the UK annually, and early detection is key to improving survival rates. The UK Lung Cancer Screening (UKLS) trial has already shown that low-dose CT (LDCT)... Read more
Cutting-Edge Technology Combines Light and Sound for Real-Time Stroke Monitoring
Stroke is the second leading cause of death globally, claiming millions of lives each year. Ischemic stroke, in particular, occurs when a blood vessel that supplies blood to the brain becomes blocked.... Read more
AI System Detects Subtle Changes in Series of Medical Images Over Time
Traditional approaches for analyzing longitudinal image datasets typically require significant customization and extensive pre-processing. For instance, in studies of the brain, researchers often begin... Read more
New CT Scan Technique to Improve Prognosis and Treatments for Head and Neck Cancers
Cancers of the mouth, nose, and throat are becoming increasingly common in the U.S., particularly among younger individuals. Approximately 60,000 new cases are diagnosed annually, with 20% of these cases... Read moreIndustry News
view channel
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more