This webinar will start at 8:00 PDT, 11:00 EDT, 16:00 BST
Learn about the exciting new features in the 4.4 versions of HALO, HALO AI, and HALO Link!
Summary
Join us for an exciting webinar highlighting the latest improvements in HALO®, HALO AI, and HALO Link coming in version 4.4.
HALO 4.4 introduces enhanced fluorescent channel management, including channel sorting and grouping as well as new black/white adjustment controls, settings that can be saved and applied across images. The new Object Data Gallery provides high-resolution views of a random sample of objects, making object-level QC faster and easier.
HALO AI 4.4 introduces new AI architectures: UNET++ for advanced masking classifier development and EfficientNet for the next generation of Phenotyper V2. Mixed-precision training and inference reduce GPU memory usage while accelerating model development and execution. Annotation workflows are also improved through a more compact annotation format, reducing database impact and export file sizes. Updated platform libraries further enhance performance, stability, and compatibility.
HALO Link 4.4 delivers improved study tree navigation, a new “Save As” option for Figure Maker, improved Diagnostic Monitor visualization, and other quality-of-life enhancements.
The 4.4 release includes updates to the Multiplex IHC and Highplex FL modules, including adjustable membrane thickness and ability to control post-processing on the module side for embedded AI segmentation modules. Additional enhancements include threshold assistance for brightfield images and new object data outputs for nuclear and cellular morphology, signal OD/intensity heterogeneity, and Haralick texture features. Highplex FL also delivers improved performance when users autofill dyes along with faster addition and removal of dyes, even for images with hundreds of channels.
Learning Objectives
- Learn about the improved fluorescent channel management in HALO, including channel sorting and grouping.
- Learn about the newly introduced Object Data Gallery feature for easier QC of object results.
- Learn about the newly available AI architectures for masking classifiers and Object Phenotyper V2.
- Learn about the numerous quality-of-life features 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 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.
