Highplex FL module

Interactive Markup Images: Providing a Dynamic Look at HALO® Analysis Results

At Indica Labs, our HALO platforms are optimized for ease-of-use as well as powerful, accurate analysis, and include multiple features to help users get the most from their data.

Interactive Markup Images: Providing a Dynamic Look at HALO® Analysis Results Read More »

Announcing HALO® Highplex FL and FISH-IF Modules Supporting AI Membrane Segmentation

In this blog post, you can learn about the AI membrane segmentation support added to the HALO® Highplex FL and FISH-IF modules, where to find the user guides, tutorial videos, and when to expect to upgrade.

Announcing HALO® Highplex FL and FISH-IF Modules Supporting AI Membrane Segmentation Read More »

Masterclass Webinar: Performing Highly Multiplexed IF and Spatial Analysis Workflows with HALO®

25 June 2024 | Join us for this 1-hour webinar to see a live demonstration of the HALO® image analysis platform focused on highly multiplexed immunofluorescence slides.

Masterclass Webinar: Performing Highly Multiplexed IF and Spatial Analysis Workflows with HALO® Read More »

Panel discussion: Clustering analysis of highly multiplexed immunofluorescence assays analyzed with the HALO® image analysis platform

13 September 2022 | Join us for this 1.5-hour panel discussion on high dimensional clustering to learn about options for performing clustering analysis and for visualizing high dimensional HALO® Highplex FL data, such as UMAP and t-SNE.

Panel discussion: Clustering analysis of highly multiplexed immunofluorescence assays analyzed with the HALO® image analysis platform Read More »

Optimizing quantitative analysis of highly multiplexed CODEX images in HALO

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

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 »

2021 Masterclass: Deep Dive into AI-Based Nuclear Segmentation and Phenotyping Part II

04 November 2021 | Following up on our HALO 3.2 Masterclass: Deep Dive into AI-based Nuclear Segmentation and Phenotyping, in this Masterclass webinar with HALO 3.3, we will further delve into options for AI-based nuclear segmentation and phenotyping.

2021 Masterclass: Deep Dive into AI-Based Nuclear Segmentation and Phenotyping Part II Read More »

THYROID MALT LYMPHOMA:  SELF-HARM TO GAIN POTENTIAL T-CELL HELP

28 October 2021 | The development of extranodal marginal zone lymphoma of mucosa-associated lymphoid tissue (MALT) is driven by chronic inflammatory responses and acquired genetic changes.  To investigate its genetic bases, we performed targeted sequencing of 93 genes in 131 MALT lymphomas including 76 from the thyroid. We found frequent deleterious mutations of TET2 (86%), CD274 (53%), TNFRSF14 (53%) and TNFAIP3 (30%) in thyroid MALT lymphoma.

THYROID MALT LYMPHOMA:  SELF-HARM TO GAIN POTENTIAL T-CELL HELP Read More »

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