Tissue Imaging Software


Visualize, analyze, quantify and phenotype cells labeled with multiple biomarkers in situ in FFPE tissue sections.

PerkinElmer cellular analysis software combines the latest technologies with the most powerful algorithms and intuitive, easy-to-use interfaces for state-of-the-art multiplexed biomarker imaging.

Cancer researchers around the world use it to determine the presence, absence, location and measurement of biomarker expression levels in tumors and their microenvironment.

Products & Services (4)

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  • HALO Link collaborative pathology information system

    HALO Link Collaborative Pathology Information System

    PerkinElmer has partnered with Indica Labs to bring to you HALO Link Collaborative Pathology Information System. HALO Link combines cloud-based image management with HALO image analysis and is compatible with images acquired on the Vectra®, Vectra Polaris and Mantra Multiplex Biomarker Imaging Systems.
  • inForm monitor

    inForm Cell Analysis

    inForm® Cell Analysis enables quantitative per cell analysis of immunohistochemistry (IHC), immunofluorescence (IF), and RNA in-situ hybridization, enabling the separation of weak and spectrally overlapping markers, in single and multiplex assays.
  • HALO image analysis software for quantification of whole slide and multispectral imagery

    HALO Image Analysis Software

    PerkinElmer has partnered with Indica Labs to offer HALO, a full suite of image analysis solutions to extend quantification of biomarkers to whole tissue samples. HALO is an expandable, modular platform that enables fast and easy quantification of biomarkers in brightfield and fluorescent whole slide imagery and multispectral fields-of-view, ideal for use in immuno-oncology, neuroscience and many other research areas. It is compatible with images acquired on the Vectra®, Vectra Polaris and Mantra multiplex biomarker imaging systems.
  • inForm monitor

    inForm Tissue Finder

    inForm® Tissue Finder adds exceptional functionality to inForm Cell Analysis to automate the detection and segmentation of specific tissues through powerful patented pattern recognition algorithms. Automation provides consistent reproducible results and enables comparative studies of multiple markers and specimens, supporting researchers to make faster discoveries of the indicators of disease.