Mayo Clinic and Google Cloud Collaborate to Revolutionize Healthcare with Generative AI
admin@pathologynews.com2023-06-07T11:09:27+00:00Leveraging Enterprise Search in Gen App Builder for Enhanced Clinical Workflows and Patient Outcomes
June 2023
An Introduction to Spatial Tissue Cytometry With TissueGnostics
admin@pathologynews.com2023-06-05T13:51:16+00:00Cytometry encompasses several methods for investigating cells, such as their count, cell cycle state, phenotype, morphology, size etc. The main goal of cytometry is to characterize individual cells. Although flow cytometry is frequently used to obtain this data, the big advantage of tissue cytometry is that the cells are still in their native tissue environment, making it possible to analyze even spatial relationships. This blog post will look at spatial tissue cytometry, its applications, and its advantages.
Evaluating The Accuracy Of Image Analysis Algorithms Applied To Digital Histological Images Of Cutaneous Melanoma
admin@pathologynews.com2023-06-05T08:52:06+00:00Histological digital images can be created using a camera mounted on a light microscope, or through whole slide image (WSI) generation using a whole slide scanner. Before any such tool could be integrated into clinical workflow, the accuracy of the technology should be carefully evaluated and summarised. Therefore, the objective of this review was to evaluate the accuracy of existing image analysis algorithms applied to digital histological images of cutaneous melanoma.
May 2023
Leica Biosystems: A Business Case for Digital Pathology
admin@pathologynews.com2023-05-30T13:48:05+00:00Developing an effective business case for deploying DP can be one of the most daunting tasks a department can face. Your priority should be to define your “use cases” – how users will interact with the technology to achieve specific goals.Implementing a phased deployment allows for a gradual integration and accrual of skills in both the diagnostic laboratory and the reporting desk.Our Leeds Guide outlines and recommends some use cases for your institution:Use of digital pathology for primary diagnosis for pathological specimensAssessment of immunohistochemistry (IHC)Multi-disciplinary team (MDT)/tumour boardReceiving and requesting second opinions/review casesRemote diagnosisInsourcing/outsourcing of diagnostic workTo learn more ways to transform your lab, click below and download our Leeds Guide today.For clinical use in the US under temporary FDA COVID-19 Enforcement Discretion OnlyCLICK HERE TO LEARN MORESOURCE: Leica Biosystems
Hyperspectral Imaging and Machine Learning Bring Automatic Annotation of Pathology Images One Step Forward
admin@pathologynews.com2023-05-29T21:28:26+00:00In a recent study, researchers at the Shanghai Key Laboratory of Multidimensional Information Processing and Engineering Research Center of Nanophotonics & Advanced Instrument developed an automated method for generating an annotated benchmark dataset for the classification of pathological tissue images. The dataset was generated using double-stained tissue images captured by hyperspectral i
Join The EIZO Team At UKIO For Their Pathology Workshop, 5-7 June
admin@pathologynews.com2023-05-29T10:34:24+00:00Meet the EIZO team at stands B19 & B20 and catch their highly anticipated workshop: A10 Industry - EIZO Pathology Workshop in the Home Reporting Room. This engaging session will be held on Monday, June 5, 2023, from 10:35 to 11:35 am where EIZO will offer insight into their display solutions and provide an exclusive glimpse of their home reporting set-up.
Faster Than Light (Microscopy): Superiority Of Digital Pathology Over Microscopy For Assessment Of Immunohistochemistry
admin@pathologynews.com2023-05-26T12:25:04+00:00Digital pathology offers the potential for significant benefits in diagnostic pathology, but currently the efficiency of slide viewing is a barrier to adoption. The University of Leeds Digital Pathology Team hypothesised that presenting digital slides for simultaneous viewing of multiple sections of tissue for comparison, as in those with immunohistochemical panels, would allow pathologists to review cases more quickly.
5 Ways To Make Histopathology Image Models More Robust To Domain Shift With Heather Couture, Pixel Scientia Labs
admin@pathologynews.com2025-05-06T13:01:57+00:00In this episode, we talk with Heather Couture about how to make deep learning models for tissue image analysis more robust to domain shift.
Conversation with Dr. Alistair Robson, Consultant Dermatopathologist and Clinical Director of Digital Pathology at Source LDPath
admin@pathologynews.com2023-05-24T13:43:15+00:00Dr Alistair Robson is a qualified general (FRCPath) and specialist dermatopathologist (DipRCPath), and was a Consultant Dermatopathologist at St John’s Institute of Dermatology, St Thomas’ Hospital, London, for 14 years. He is engaged in clinical research and has published over 100 articles, mostly concerning various forms of skin cancer. Dr Robson. has over 15 years’ experience of teaching dermatopathology to both dermatologists and pathologists. He was the founder of LDPath and is now Clinical Director of Digital Pathology at Source LDPath, a company that provides rapid histopathology reporting by specialist pathologists to over 330 hospitals in the U.K. and abroad and is on a journey of helping pathology departments digitize and incorporate AI into their processes.
Illuminating Our Current Position And The Future Of Digital Pathology At The Royal College of Physicians, Edinburgh
admin@pathologynews.com2023-05-24T09:34:55+00:00Pathology News recently partnered with Digibase, a leader in event planning for digital life science events. As a result, Pathology News was invited to Edinburgh to witness the conference first-hand and connect with the vibrant digital pathology community in attendance. This event provides an excellent opportunity for Pathology News to engage not only with their exhibiting partners such as Leica Biosystems, Aiforia, Diagnexia, Indica Labs, Owkin, Source LDPath, and Paige but also with individuals who share a profound passion for digital pathology.
