What is new in HALO®, HALO AI, and HALO Link 4.3?
Date: 11 June 2026
Time: 8:00 – 9:00 PDT | 11:00 – 12:00 EDT | 16:00 – 17:00 BST
Location: Webinar
Learn about the exciting new features in the 4.3 versions of HALO, HALO AI, and HALO Link!
Summary
Join us for an exciting webinar highlighting the latest innovations in HALO, HALO AI, and HALO Link 4.3. In this new version, users can create clean independent slide copies, enabling blinded workflows without duplicating the image on the storage drive. Users will also experience smoother viewing of svs images with the support of native cloud storage for this image type.
In HALO 4.3, object data generated in different analysis modules can be customized to display and save only what the user needs. Quality of life improvements include enhancements in real-time display of annotation dimensions, improved notifications, and display of additional metadata for ome.tiff images. Additionally, the HALO High Dimensional Analysis module has been updated to include interactive links between feature heatmaps and images, assisting cluster identification via easier selection and display of the cells in each cluster.
HALO AI 4.3 offers per-class reporting of phenotypes from a masking/phenotyper pipeline eliminating the need for modules to generate this type of result. In addition, users can batch launch training sessions and view cross entropy values across sessions, capabilities that can streamline and inform classifier training.
In version 4.3, HALO Link supports large studies containing tens of thousands of images with performant slide navigation and image viewing. The new capability to add slides to studies directly from search accelerates study creation in version 4.3. For admins, configurable system-level task management—with visual workflow tracking—and bulk user actions simplify user management and save time, especially when managing larger teams.
Learning Objectives
- Learn about the new slide copy workflow with independent slide copies
- Learn about the per–class reporting of phenotyper results in HALO AI masking/phenotyper pipelines
- Learn about improved performance with large studies in HALO Link
- Learn about system–managed customizable tasks
Presenter
Dr. Noemi Kedei
Director of Product, Life Sciences
Indica Labs
Noemi Kedei earned an MD degree from University Medical School of Debrecen, Hungary. She did her postdoctoral training and worked later as a staff scientist in the Laboratory of Cancer Biology and Genetics, NCI. Her research focused on identifying mechanisms involved in the differential effects of natural compounds and their engineered derivatives acting on protein kinase Cs (PKCs), validated targets for anti-cancer treatment. In 2018 she joined the Collaborative Protein Technology Resources (OSTR, CCR, NCI) core facility to implement a variety of spatial protein and transcriptomics technologies, and lead related operations as services to NCI investigators. Noemi provided expertise for development of project based customized antibody protein panels for detection of 40-60 protein targets at single cell level in tissue sections using the CODEX/Phenocycler fusion technology, and ensured optimal and efficient instrument use. In addition, she advised and supported users on tools for quantitative image analysis combining different AI-enabled HALO modules and NCI developed pipelines for downstream analysis. Noemi joined Indica Labs as Director of Product – Life Sciences in May, 2025.