HALO® High Impact Publications
Learn how HALO image analysis is leveraged in fields from immuno-oncology to neuroscience and infectious disease in this selection of high-impact publications.
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Tissue Classifier
HALO AI High Impact Publications
Review this selection of high-impact publications for examples of HALO AI applications in fields ranging from metabolism to immuno-oncology and myology.
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HALO AI Whitepaper
Check out this white paper for an in-depth introduction to the deep learning-based add-on to HALO, including available networks, common functions, and the “train – validate – test” Validation workflow.
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Quantitative RNAscope™ Image Analysis Guide
From experimental design considerations to optimized setup of HALO image analysis parameters, our guide will help take your quantitative RNAscope™ image analysis to the next level.
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Spatial Analysis Application Note
In this application note, we describe two HALO analysis tools that are used to quantify the distribution of immune cells relative to tumor cells in the tumor microenvironment, Proximity Analysis and Tumor Infiltration Analysis.
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Fusion of Spectrally Unmixed Image Tiles into Whole Slide TIFs using HALO Image Analysis
In this application note, we describe how HALO can convert spectrally unmixed image tiles into whole slide images for analysis of the tumor microenvironment.
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A role for HALO® in characterizing cell heterogeneity across organ systems: from the liver to the brain
12 October 2023 | Please join us for this 1-hour webinar to learn about characterizing cell heterogeneity with HALO to gain new biological insights.
Cellular mechanisms of heterogeneity in NF2-mutant schwannoma
Schwannomas are sporadic, usually benign tumors that develop predominately on spinal nerve roots and cranial nerves. Inactivation of NF2 in Schwann cells (SC) is the
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Modulation of the Human Pancreatic Ductal Adenocarcinoma Immune Microenvironment by Stereotactic Body Radiotherapy
Stereotactic body radiotherapy (SBRT) uses multiple targeted beams of radiation to damage malignant cells while limiting effects to surrounding tissue. SBRT is a standard treatment
Tissue Classifier Add-on
Separate multiple tissue classes across a tissue using a learn-by-example approach. Can be used in conjunction with all other modules (fluorescent and brightfield) to select specific tissue classes for further analysis.
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