HALO image analysis software

HALO™ Image Analysis Software

Akoya Biosciences has partnered with IndicaLabs to offer HALO™, a suite of image analysis solutions that enables the fast and easy quantification of biomarkers in whole tissue brightfield and fluorescent samples.

Product Details

HALO™ Image Analysis Software was designed on the principle that image analysis should be accessible, regardless of image analysis or programming experience. Modules are purpose built and configured for analysis applications in immuno-oncology, neuroscience and more. That means everyone can get started quickly with their analysis of biomarkers and whole tissue samples, and the platform can grow with your labs’ changing needs.

HALO supports image analysis on most digital slide formats, including the Akoya’s image formats:

  • Unmixed multispectral component images (exported from inForm software) – HALO has the ability to fuse unmixed imagery into a single, spectrally unmixed image for analysis with any HALO module
  • Whole-slide QPTIFF scan bright-field images (RGB)
  • Whole-slide QPTIFF scan multiband fluorescence images
  • Please note, whole slide imagery is not produced on the Mantra quantitative pathology imaging system.

Choose from a range of options for HALO to meet your research needs:

  • HALO is available in 1, 3, 5, 10, and 20 module bundles
  • Licenses available for any number of workstations.
  • Academic licenses are available to any degree granting institution (non-commercial use of product)

Key Benefits

Easy-to-use interface: Flexible, automated annotations and intuitive algorithm tuning

Extensive analytics, interactive imagery:

  • cell- and object-based data for advanced statistical analysis
  • Visualize and interact with cell- and object-based data within an image

Modular, scalable platform:

  • 1, 3, 5 and 10 module bundles provide for a variety of budgets and needs
  • Versatility – expand with changing needs
  • Single workstation license or server-based license for an entire group
  • Turbo-charged analysis speed: Multi-core processing as standard for 4-to-25-fold the analysis speed

Immuno-oncology researchers will benefit from the following purpose-built modules:

  • Highplex FL (fluorescence markers) – cell based analysis for an unlimited number of fluorescent markers; this is the recommended module for analyzing any of Akoya’s fluorescence imagery, regardless of plexing level
  • Multiplex IHC (chromogenic markers) – quantify expression of up to 5 immunohistochemistry markers in the nucleus, cytoplasm or membrane; this is the recommended module for analyzing Akoya’s bright-field whole-slide imagery
  • Tissue Classifier (chromogenic and fluorescent markers) – identify multiple tissue classes using a learn-by-example
  • Spatial Analysis (chromogenic and fluorescent markers) – analyze spatial relationships (nearest neighbor, proximity and infiltration analysis) between cellular phenotypes
  • TMA (chromogenic and fluorescent markers) – a workflow module to organize, analyze and manually score TMAs
  • FISH FL (fluorescent markers) – quantify signal count and co-expression for an unlimited number of fluorescent in situ probes
  • FISH-IF FL (fluorescent markers) – quantify signal count and co-expression for an unlimited number of fluorescent in situ probes or protein expression on a per cell basis
  • ISH/CISH Quantification (chromogenic markers) – quantify one or two probes across tissues and cells; bin cells by count, and determine the probe signal count per cell and the ratio of two probe signals per cell
  • Serial Section and Staining Registration (chromogenic and fluorescent markers) – register serial sections and use tissue classifiers to identify regions of interest in one slide and quantify marker within corresponding regions on a serial slide

Beyond Immuno-oncology, HALO Image Analysis Software’s flexible, purpose-built modules can provide quick, quantitative results in the fields of neuroscience, metabolism, toxicological pathology and more.

Documents

HALO Brochure

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HALO Module List

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