Exploring SPIAT for HALO image analysis: An R package for the Spatial Image Analysis of Cells in Tissues
21 November 2022 | Join us for this 1-hour webinar to learn how SPIAT can advance your spatial analyses
21 November 2022 | Join us for this 1-hour webinar to learn how SPIAT can advance your spatial analyses
An interview with Jacob Morris, Software Engineering Supervisor – Infrastructure, Indica Labs
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20 October 2022 | Join us for this 1-hour webinar to learn about an iterative chromogenic based Serial Stain workflow in HALO®
Multiplex Immunohistochemical Phenotyping of T cells in Primary Prostate Cancer Read More »
Vista, CA – Sep 4, 2022, Leica Biosystems, a cancer diagnostics company and a global leader in workflow solutions, and Indica Labs, the industry-leading provider of computational and image management software in digital pathology, today announced a partnership focused on delivering compatible digital pathology workflow solutions.
Albuquerque, NM, and Glasgow, Scotland, – 30 August, 2022 – Indica Labs, an industry leader in quantitative digital pathology and image management solutions, and The Industrial Centre for Artificial Intelligence Research in Digital Diagnostics (iCAIRD), announced today an agreement to collaborate on the development of an AI-based digital pathology solution for the detection of cancer within lymph nodes from colorectal surgery cases.
Predictive biomarkers to determine which non small cell lung cancer (NSCLC) patients will respond to immunotherapy are currently lacking. In this Nature Cancer publication, the
05 October 2022 | Join us for this 1-hour webinar to learn how to implement the HALO Prostate AI tool for prostate cancer detection and grading
HALO Prostate AI – A Tool for Automated Detection and Gleason Grading of Prostate Cancer Read More »
6 October 2022 | Join us for this 1-hour webinar to see a live demonstration of the HALO® image analysis platform, the gold standard analysis platform for quantitative tissue analysis in digital pathology.
Quantitative Digital Pathology: An Overview of the HALO® Image Analysis Platform Read More »