About

Transforming cancer diagnostics through a digital diagnostic platform to improve patient care.

  • 2012

    An idea was born

    Two Utah-based private practice pathologists seeking to build a digital practice, purchase a whole slide imaging system, and recognize the necessity to standardize pre-diagnostic workflow.

  • 2013

    Lumea is founded

    LUMEA is founded to develop standardized workflows for digital pathology, building a platform to link clinic, lab and pathologist in one system. They named it BxLink.

  • 2014

    Established EU R&D Facility

    Partnered with Themis Pathology (Bucharest, Romania) to establish a Histochemistry R&D facility for multi-plexed and improved tissue embedding.

  • 2015

    BxChip Launched

    Established an integrated digital histology lab in a Provo warehouse, to implement and validate nascent technologies, including the BxChip.

  • 2016

    AI Powered Workflow Commercialized

    Incorporated artificial intelligence into the digital imaging of gross tissue biopsy specimens, and commercialized the first AI-powered pathology workflow.

  • 2017

    Buildout of State-of-the Art HQ

    LUMEA digital prostate core mapping is developed and deployed as part of a major multi center FDA validation trial.

  • 2018

    R&D initiatives in Gastroenterology, Dermatology

    LUMEA launches R&D initiatives in Gastroenterology, Dermatology pre-analytics.

    LUMEA technologies are adopted in multiple academic centers.

  • 2019

    Technologies Adopted

    LUMEA technologies adopted in a national commercial laboratory.

    LUMEA launches R&D initiative for low-cellularity / high value specimens and name it the CytoPod.

    Independent clinical trials validate superior tissue handling and cost effectiveness of LUMEA lab workflow and tissue handling technologies.

  • 2020

    Award of 3 Major Patents

    LUMEA spins off its clinical lab into a separate diagnostic services company (PathNet Labs).

    LUMEA is awarded 3 major patents relating to tissue handling, point-of-care imaging and the use of artificial intelligence in histology workflow.