Deploying the Slide QC 2.0 network in HALO AI™ and HALO AP®
Deploying the Slide QC 2.0 network in HALO AI and HALO AP®
Date: 27 October 2022
Time: 8:00 – 9:00 PDT | 11:00 – 12:00 EDT | 16:00 – 17:00 CEST
Learn about the AI-powered Slide QC network, how to use it, and how to deploy it clinically in HALO AP®
In this 1-hour webinar, learn about the AI-powered Slide QC 2.0 network that was recently released in HALO AI 3.5 for automatically detecting and reporting artifacts in both research and clinical workflows. The Slide QC network can segment artifacts including tissue folds, air bubbles, out-of-focus regions, dust and pen marks. Learn how the network was developed and how it performs against external test sets. Furthermore, learn how to use it and how to add your own training regions to improve artifact detection in your individual workflows. By attending this webinar, you will also learn how you can deploy it in a clinical environment with HALO AP to improve lab efficiency. The Slide QC network can be used in a clinical environment both to flag slides with a high percentage of artifacts for review and to identify artifacts and exclude them from downstream image analysis.
- Learn how the Slide QC 2.0 network was developed
- Learn how the network performs against external test sets
- Learn how to use Slide QC in HALO AI
- Learn how to deploy Slide QC in a clinical environment with HALO AP
Imaging Scientist, AI, Indica Labs
Daniela Rodrigues earned her degree in Pathologic, Cytologic, and Thanatological Anatomy from the Polytechnic Institute of Porto. She received her master’s in Quality Control from the Faculty of Pharmacy in 2018 and undertook a specialization in Medical Informatics from the Faculty of Medicine of the University of Porto in 2021. She previously worked as a research fellow in Neuroscience and Toxicology and grew her skill set in microscopy and digital pathology-based image analysis while working at the microscopy core facility at i3S - Instituto de Investigação e Inovação em Saúde, University of Porto, where she provided image analysis support to several digital pathology projects. Currently, she works as an Imaging Scientist in the AI Collaborations group managing the development of multiple AI-based products for both clinical and R&D use.
Clinical Account Manager - North America, Indica Labs
Lisa holds a degree in Histology as well as a Histologist (HT) certification and a Qualification in Immunohistochemistry (QIHC) from ASCP. With over 20 years laboratory experience, she has held histology lab management roles in both large teaching hospital environments as well as smaller private labs. Prior to joining Indica Labs, Lisa worked with Sakura Finetek for 6 years as a Field Application Support Specialist in the area of IHC, where she played an instrumental role in the launch and ongoing roll-out of their IHC platform. At Indica Labs, Lisa is responsible for supporting existing clinical customers with optimizing their HALO AP deployments to deliver an enhanced workflow and advising new clinical pathology laboratories as they define their digitization strategy.