HALO AI

Masterclass Webinar 2: Advanced Techniques and Workflows for Multiplex IHC Analysis using HALO® and HALO AI

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25 May 2023 | Following up on our Masterclass Webinar 1 for Multiplex IHC analysis, Masterclass 2 will discuss advanced workflows to help users tackle more challenging brightfield multiplex IHC assays. First, we will demonstrate how advanced cell segmentation and phenotyping options using HALO AI can be combined with the multiplex IHC module to improve image analysis. Two alternative approaches for analyzing multiplex IHC will also be demonstrated including a serial stain workflow to convert brightfield images into pseudo-fluorescence images followed by analysis with Highplex FL and a HALO AI-based approach where cell phenotyping is used to identify cells with co-localization of specific stains. We will discuss advantages, disadvantages and use cases for each workflow.  

Masterclass Webinar 2: Advanced Techniques and Workflows for Multiplex IHC Analysis using HALO® and HALO AI Read More »

Masterclass Webinar: Neurobiology Image Analysis with HALO and HALO AI

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29 September 2022 | Join us for this 1-hour webinar for a live demonstration of neurobiology image analysis using HALO® and HALO AI. Dr. Levi Maston will demonstrate the recently released Microglial Activation modules and the Object Colocalization modules for BF and FL analysis in HALO.

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Maximizing use of HALO® and HALO AI for a comprehensive image analysis for HUMAN Brain FFPE Tissue samples in Alzheimer’s Disease

Area Quantification, Events, HALO, HALO AI, HALO Modules, Microglial Activation module, Multiplex IHC, News, Object Colocalzation module, Past Webinars, Tissue Classifier, Webinars / , , , , , , ,

25 May 2022 | In this 60-min webinar, Learn how HALO and HALO AI are advancing neuropathology research at the UW Medicine Biorepository and Integrated Research (BRaIN) laboratory

Maximizing use of HALO® and HALO AI for a comprehensive image analysis for HUMAN Brain FFPE Tissue samples in Alzheimer’s Disease Read More »

Masterclass Webinar: Optimizing RNAscope Image Analysis

Events, FISH, FISH-IF, HALO, HALO AI, HALO Modules, ISH module, ISH-IHC module, Masterclasses, News, Past Webinars, Webinars / , , , , , ,

05 May 2022 | In this 60-min webinar, Dr. Ghislaine Lioux will present solutions to common RNAscope image analysis challenges including how to optimize color deconvolution, nuclear segmentation, and how to manage spot clusters

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Optimizing quantitative analysis of highly multiplexed CODEX images in HALO

Area Quantification, Area Quantification FL, Events, HALO, HALO AI, HALO Link, HALO Modules, Highplex FL, News, Object Colocalzation FL, Past Webinars, Spatial Analysis, Tissue Classifier, Webinars / , , , , , , , ,

31 March 2022 | In this webinar, Dr. Noemi Kedei, a staff scientist at the Collaborative Protein Technology Resource core of the Center for Cancer Research (CCR) at the National Cancer Institute, will present a comprehensive CODEX workflow, from image acquisition to image processing and HALO image analysis. Dr. Kedei leads the core facility that provides this technology as service to CCR investigators, including project consultation and design, antibody panel customization, tissue staining and imaging, image processing, and data management. Since Dr. Kedei and team were an early adopter of the CODEX platform, they have acquired deep expertise in CODEX, having imaged hundreds of mouse and human fresh frozen and FFPE tissues in support of multiple NCI/CCR projects.

Optimizing quantitative analysis of highly multiplexed CODEX images in HALO Read More »

Tumor-specific tumor-resident cytotoxic T cells predict recurrence in stage III melanoma patients treated with adjuvant immunotherapy

Events, HALO, HALO AI, HALO Modules, Highplex FL, News, Past Webinars, Spatial Analysis, Webinars / , , , ,

20 January 2022 | In this 60-minute webinar, learn how HALO and HALO AI collaborate to perform tissue and cell segmentation, quantification of T-cell subsets in tumor regions, and spatial analysis .

Tumor-specific tumor-resident cytotoxic T cells predict recurrence in stage III melanoma patients treated with adjuvant immunotherapy Read More »

A Deep Learning Convolutional Neural Network Can Differentiate Between Helicobacter Pylori Gastritis and Autoimmune Gastritis with Results Comparable to Gastrointestinal Pathologists

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13 January 2022 | In this 60-minute webinar, researchers and pathologists from the University of New Mexico will discuss their recently published study using the HALO AI deep learning convolutional neural network (CNN) to determine whether a CNN can differentiate autoimmune gastritis from Helicobacter pylori gastritis.

A Deep Learning Convolutional Neural Network Can Differentiate Between Helicobacter Pylori Gastritis and Autoimmune Gastritis with Results Comparable to Gastrointestinal Pathologists Read More »

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