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
ZeptoMetrix an Antylia scientific company

Philips Healthcare

Operates in Diagnostic Imaging Systems, Patient Care and Clinical Informatics, Customer Services, and Home Healthcare... read more Featured Products: More products

Download Mobile App




Data Management System Integrates Complex Image Data

By LabMedica International staff writers
Posted on 03 Jul 2017
Print article
Image: The web-based Xplore system will allow for enhanced sharing of pathology and tissue images (Photo courtesy of Philips Healthcare).
Image: The web-based Xplore system will allow for enhanced sharing of pathology and tissue images (Photo courtesy of Philips Healthcare).
A web-based data management system that enables researchers to integrate data from multiple sources including digital pathology and tissue imaging and share information over the Internet is now available.

Royal Philips (Amsterdam, the Netherlands) has launched its Xplore v4.0 comprehensive web-based image and big data management system. Xplore provides a central hub to create, interrogate, share, and manage archives both for individual and collaborative studies. The user can define study hierarchy, datasets, and fields, and import whole slide or TMA (Tissue Micro Array) images.

TMA is an Xplore-related module designed to speed up research studies, which require manual scores of TMA cores. This powerful tool allows manual scoring of TMAs online, which facilitates the evaluation of new tissue biomarkers in TMAs quickly and easily. Using TMA scoring templates, map templates, and an automated de-arrayer, this module ensures that TMA cores will be rapidly segmented, identified, and sent out for scoring. With a single screen/interface for viewing and scoring, management of TMAs is greatly simplified for the pathologist.

Version 4.0 of Xplore comprises a major upgrade for both pharmaceutical and academic researchers, as it provides enhanced search capabilities, barcode support, data visualization tools, and third party image analysis vendor integration.

“Delivering on the promise of personalized medicine means that multiple data sources need to be integrated and analyzed,” said Russ Granzow, general manager of digital pathology solutions at Royal Philips. “Computational pathology research tools will be essential to move forward in our increasingly complex medical and research environment.”

Xplore v4.0 will be available in July 2017. Customers have the option to purchase the basic package or enhance it with custom additions such as the dedicated TMA module.

Gold Member
Fully Automated Cell Density/Viability Analyzer
BioProfile FAST CDV
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Ultra-Low Temperature Freezer
iUF118-GX
New
Amoebiasis Test
ELI.H.A Amoeba

Print article

Channels

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more

Molecular Diagnostics

view channel
Image: The breakthrough could result in a higher success rate using a simple oral swab test before IVF (Photo courtesy of Shutterstock)

POC Oral Swab Test to Increase Chances of Pregnancy in IVF

Approximately 15% of couples of reproductive age experience involuntary childlessness. A significant reason for this is the growing trend of delaying family planning, a global shift that is expected to... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.