Digital Pathology Imaging & Scanning
Our digital slide scanning products offer unprecedented image quality, speed and reliability for whole slide imaging; making Aperio digital pathology scanners the optimal choice for research professionals.
From Microscope to Monitor a Proprietary Color Match Method from Leica Biosystems
Allen Olson, Ph.D., Technical Lead Engineer and Scientist
Lance Mikus, MBA
Digital pathology is quickly growing across the globe as it offers increasing benefits to standardize and optimize the pathology lab workflow. Pathologists can now retrieve their cases in digital form and review and sign off cases using a PC and monitor. However, digital pathology companies offer many different monitors, depending on the company. Pathologists are often frustrated by the color variation of a digital image as it may not match the microscope color experience They often prefer a color that looks as close as possible to the typical experience using a microscope.
Tools of the Trade: Multiplexed Digital Pathology
Prof. Aldo Scarpa EPC President Director of Pathology University of Verona Director ARC-NET: Center for Applied Research on Cancer
Dr. Rita Lawlor Ph.D., CIPP/E, CIPM Fellow of Information Privacy (IAPP)
Digital Pathology in Toxicological Pathology Studies
Rhian Evans Ph.D., Scientist
Drug development is a timely and costly process, with the average cost of bringing a single new drug to market costing $1.3 billion, taking anywhere between 10-15 years to finalize complete all clinical trials. Preclinical studies are the vital first steps in research and development and is estimated to cost $7M over 73 months. Up to 35% of drugs are eliminated at phase I and II clinical trials due to toxicity.
The Power of Digital Pathology in Research
Caitriona Lyons, Ph.D. Product Manager, Image Analysis, Leica Biosystems, Dublin, Ireland
Learning Objectives of this webinar are History of Immuno-oncology, Types of Immunotherapy, Immune Checkpoint Biomarker.
Exploiting Digital Histology approaches to probe the pathophysiology of SARS-CoV-2 infection
Kelly Hunter MSc, Digital Pathology Analyst, Molecular Histology Facility University of Birmingham
Dr Graham S Taylor Senior Lecturer, University of Birmingham
COVID-19 is a complex multiphase disease in which the immune system causes disease exacerbation in some patients. This talk covers how digital pathology and tissue multiplexing techniques can be combined to effectively investigate the pathophysiology of SARS-CoV-2 to better inform the optimal selection and scheduling of therapeutic approaches.
Digital Pathology: Take Your Next Step on the Path to Implementation
Rhian Evans Ph.D., Scientist
Digital pathology is the means of capturing stained slides as high-resolution, brightfield or fluorescent images that are managed, stored, and visualized digitally.
Keeping Your Eye On Image Color Image Viewing and Image Analysis Across Digital Pathology Scanner Model
Allen Olson Ph.D., Technical Lead Engineer and Scientist
Philip Thai
Gráinne Moroney
Digital pathology is a growing field, with multiple vendors offering a variety of hardware and software for different applications. With many options available for digital pathology scanners, viewing software, and both consumer and medical review monitors, users need the ability to adapt to variations in image appearance.
Beyond Observation: Tools, Software and Molecular Prediction
Francesco Merolla MD, Ph.D.
Francesco Martino
Digital Ready Slides
Olga Colgan Global Brand Strategy Director, Leica Biosystems
In this webinar, learn more about the adoption of digital pathology, and the appropriate steps to support change management to help promote engagement and a path to success.
Is a Digital Pathology Scanning & Hosting Service Right for You?
Are you planning to adopt digital pathology? As an alternative to purchasing a scanner and software, some vendors offer slide scanning services, as well as image hosting / Software as a Service (SaaS) solutions
Artificial Intelligence in Pathology: Challenges and Considerations
Chad Salinas, Vice President, AI and Machine Learning
Artificial Intelligence is exponentially increasing its impact on healthcare. As deep learning is mastering computer vision tasks, its application to digital pathology is natural, with the promise of aiding in routine reporting and standardizing results across trials.
For Research Use Only. Not for use in Diagnostic Procedures.
