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TissueVision

TissueVision

Cambridge, United States· Est.
tissuevision.com
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Private Company

Total funding raised: $10.5M

Overview

TissueVision is a private, revenue-generating contract research organization (CRO) focused on high-resolution 3D whole-tissue imaging and analysis. The company's core technology is its TissueCyte® imaging platform, which automates tissue sectioning and multi-spectral imaging to generate terabytes of quantitative data per study, enabling large-scale projects in neuroscience, oncology, and fibrosis. With a strong foundation from MIT and NIH grant support, TissueVision serves as a critical partner for clients needing scalable, statistically powerful histological data to advance therapeutic programs from discovery through preclinical development.

NeuroscienceOncologyFibrosisAlzheimer's Disease

Technology Platform

Proprietary Serial Two Photon Tomography (STPT) implemented in the TissueCyte® platform, enabling automated, high-throughput, non-destructive 3D multi-spectral imaging of whole organs and tissues at sub-micron resolution. Integrated with cloud-based data analysis pipelines.

Funding History

2
Total raised:$10.5M
Series A$8M
Seed$2.5M

Opportunities

The growing field of spatial biology creates a direct opportunity to position TissueVision's non-destructive imaging as the first step in a multi-omics tissue analysis workflow.
Increased demand for quantitative, whole-organ data in preclinical neuroscience and immuno-oncology provides a expanding market for its specialized services.

Risk Factors

Competition from other imaging CROs and internal pharma capabilities, alongside the risk of technological disruption by newer imaging or sequencing-based spatial analysis methods.
Reliance on the discretionary R&D budgets of biopharma and academic clients, which can be volatile.

Competitive Landscape

TissueVision competes with other specialized histology and imaging CROs (e.g., Charles River Laboratories' imaging services, BioIVT), as well as academic core facilities offering similar microscopy. Its key differentiation is the combination of whole-organ 3D imaging, high-throughput automation, and integrated analysis tailored for large-scale preclinical studies.

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