Multiplex Tissue Imaging

Protein-Level Biomarker Discovery

Tumor biology is more than DNA and RNA. To understand spatial interactions between tumor and immune cells, LIDE offers next-generation tissue imaging platforms:

  • 40+ validated antibody panels (OncoVee® Toolbox)
  • Simultaneous detection of dozens of protein markers per FFPE slide
  • Enables visualization of immune infiltration, signaling pathways, and microenvironment heterogeneity
  • Example: Distinguishing responders vs. non-responders in checkpoint inhibitor studies
Fig. Representative mass cytometry image of a lung cancer patient’s tissue section showing the overlay of multiple markers. Selected markers are represented by pseudo-colored raw ion images.

In addition, IMC is performed on FFPE tissue sections, so it can be applied to the retrospective research of disease and drug development using a limited number of pathological sections.

  • Simultaneous detection of multiple proteins on a single tissue section
  • Compatible with clinical workflow and FFPE archives
  • Example markers: CD20, CD3, CD68, Ki67, E-cadherin

LIDE has developed a validated panel of IMC antibodies for leading oncology research targets, ready to use in analysis or customized according to need.

CategoryExamples
Cell IdentificationLineage and cell-specific markers to define tumor vs. stromal vs. immune cells
Tissue Histological LandmarksStructural and microenvironmental features
Cancer MarkersTumor-specific markers and oncogenic drivers
Major Immune PopulationsT cells, B cells, NK cells, macrophages, dendritic cells
CytokinesIL-family, TNF, IFN pathways
Granzyme B (GzmB)Effector function marker for cytotoxic activity
Immune CheckpointsPD-1, PD-L1, CTLA-4, TIM-3, LAG-3, TIGIT
Cell Proliferation & DeathKi-67, cleaved caspase-3, apoptosis and proliferation markers
Table: IMC enables simultaneous detection of 25+ validated markers per sample. Expanded marker panels are available.
  • Companion diagnostic development
  • Biomarker-driven patient stratification
  • Mapping tumor–immune cell interactions

One of most valuable IMC advancements is that single-cell features can be computationally segmented and clusters of co-expression demarcated to enable downstream investigation of cell subpopulations and

Explore Functional Genomics