General Information

OPAL

Price:
OPAL enables cost-efficient, spatially resolved protein analysis on tissue and organoid samples while preserving cellular context. The platform supports flexible multiplex immunofluorescence panels with unrestricted antibody compatibility for focused biomarker studies.
Organism
Product Type

Tissue

Disease

Applications

  • Spatial Biology: Protein Solution

OPAL Multiplex Immunofluorescence for Spatial Protein Analysis

OPAL allows unrestricted multiplex staining regardless of primary antibody host species, enabling seamless use of existing laboratory antibodies and greater experimental flexibility. The platform supports simultaneous detection of up to eight biomarkers on a single slide and offers a more cost-effective alternative to CODEX staining.

Process

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Liver organoid
Confirmation of similarity using OPAL staining in organoids derivedfrom various organs undergoing differentiation
Outcomes of organoid and co-culture cell analysis through OPAL staining

Start Your OPAL Spatial Study

Contact our team to design a customized OPAL panel and unlock high-quality spatial insights for your tissue or organoid samples.

Frequently Asked Questions

What is OPAL and how is it used in spatial biology?
OPAL is a multiplex immunofluorescence (mIF) technology that enables spatially resolved protein analysis on a single tissue slide, preserving tissue architecture and cellular context.
OPAL supports simultaneous detection of up to 6–8 protein biomarkers, including DAPI, depending on panel design and sample type.
Yes. OPAL staining is independent of the host species of primary antibodies, allowing the use of existing, lab-validated antibodies without additional modification.
OPAL is compatible with FFPE tissue sections, fresh-frozen samples, and organoid-based models, making it suitable for both research and translational studies.
OPAL offers a cost-efficient and faster alternative for focused, marker-driven studies, making it ideal when high sensitivity and spatial context are required without the complexity of ultra-high-plex systems.

Trusted by Leading Innovators

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