Intro to HALO®, HALO AI, and HALO Link 4.2

Date: 18 September 2025
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 4.2 versions of HALO, HALO AI, and HALO Link!

Summary

In this webinar, we will explore the new features and functionalities in HALO, HALO AI, and HALO Link 4.2 designed to enhance performance, streamline workflows, and expand analytical capabilities. In HALO 4.2, new annotation tools such as a multi-select feature and improved annotation management, including batch annotation import and rename, boost efficiency. Also, object data is moved out from the database into optimized parquet files, significantly improving load times and overall system performance. 

HALO AI 4.2 offers channel-invariant pretrained models that streamline nuclear and cell segmentation by leveraging all fluorescent channels, and multiple membrane markers can now be selected when further training the pretrained membrane segmentation model. Version 4.2 also brings an updated AI annotation tool that is smaller, faster, and optimized for pathology data, delivering a smoother annotation experience. Users now have greater control over model training with adjustable hyperparameters, including learning rates and class weights. 

In version 4.2, HALO Link now supports viewing Z-stacks on brightfield images. The latest version also introduces a Diagnostic Monitor add-on to help administrators troubleshoot performance issues with image loading. For those looking for additional ergonomics options, integration with the 3D Connexion SpaceMouse is now available. Finally, both HALO and HALO Link 4.2 support the use of third-party AI apps, enabling models developed by users outside of HALO or by external vendors to be launched and viewed within the platforms. 

Learning Objectives

  • Learn about third party AI Analysis support through API 
  • Learn about new annotation tools and object data storage in HALO 
  • Learn about streamlined nuclear and membrane segmentation using channel invariant pretrained models  
  • Learn about using the 3D Connexion SpaceMouse for more ergonomic slide navigation in HALO Link 

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 the 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. 

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