Nanometer-Resolution Protein Interaction Measurement

Measure What Matters: Protein Interactions, Not Just Expression

QF-Pro uses FLIM-FRET to measure protein-protein interactions at 1-10nm resolution directly in tissue. The only platform that turns colocalization into confirmed molecular engagement.

1-10nm
Interaction Resolution on FFPE Tissue
Longer Survival with Functional Biomarkers
135
Patients in Landmark JCO Study
5+
Multiplex Platforms Compatible with FRET Validation

Validate Multiplex Imaging Colocalization

FLIM-FRET provides ground-truth confirmation of protein proximity at 1-10nm—turning colocalization from a statistical inference into a physical measurement.

Multiplex imaging platforms such as CODEX, PhenoCycler, Vectra, MIBI, and IMC generate rich spatial data—but pixel-level colocalization does not prove molecular interaction. Two proteins can share a pixel yet be 200nm apart. QF-Pro resolves this ambiguity by measuring energy transfer that only occurs when molecules are within nanometers of each other.

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Colocalization Ground Truth

Diffraction-limited imaging shows overlap; QF-Pro confirms whether colocalized signals represent genuine protein-protein interaction at the molecular scale. Convert probability into certainty.

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Orthogonal Validation

Add a FRET-based validation layer to any multiplex panel. Confirm that marker co-expression translates to functional engagement—an independent measurement that strengthens publication-quality data.

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Quantitative Readout

Unlike binary colocalization calls, FLIM-FRET provides continuous FRET efficiency values proportional to interaction strength—enabling dose-response, threshold, and correlation analyses.

From Pixels to Proof

Colocalization analysis tells you two markers occupy the same region. QF-Pro tells you they are physically interacting. This distinction matters for spatial biology researchers validating interaction hypotheses, multiplex platform developers benchmarking colocalization accuracy, antibody manufacturers confirming functional binding in tissue, and pharmaceutical teams building companion diagnostics that require interaction-level evidence.

  • Receptor-ligand engagement drives a therapeutic decision
  • Signaling pathway activation depends on protein complex formation
  • Regulatory submissions require evidence beyond co-expression
  • Reviewers ask “how do you know they actually interact?”
See How It Works Discuss Your Application

Expression Biomarkers Fail to Predict Response

Current companion diagnostics measure protein presence, not function. A protein can be highly expressed but inactive, or low-expressed but highly engaged.

Current Approach

Expression-Based Testing

Immunohistochemistry (IHC) measures how much protein is present, but cannot determine if proteins are actually interacting.

  • PD-L1 TPS ≥50% did NOT predict survival (P=0.162)
  • Cannot distinguish active vs. inactive proteins
  • Excludes patients who would respond to therapy
  • High false-negative rates in patient selection
QF-Pro Approach

Functional Biomarker Testing

FLIM-FRET technology measures actual protein-protein interactions at molecular scale.

  • PD-1/PD-L1 interaction strongly predicted survival (P<0.0001)
  • Detects functional engagement at 1-10nm
  • Identifies responders missed by IHC
  • Specificity: Does NOT predict chemo response

The Survival Difference is Unmistakable

In a retrospective study of 135 NSCLC patients treated with immune checkpoint inhibitors, QF-Pro measurement of PD-1/PD-L1 interaction fundamentally outperformed expression-based biomarkers.

P<0.0001
Statistical significance for functional biomarker prediction

Meanwhile, PD-L1 expression (TPS ≥50%) showed no significant correlation with survival (P=0.162). The functional biomarker identified 24% of patients who would have been excluded by expression-only criteria.

Median Overall Survival by PD-1/PD-L1 Interaction
High Interaction (iFRET Positive) 31 months
Low Interaction (iFRET Negative) 10 months

Source: Journal of Clinical Oncology, 2023. Sanchez-Magraner et al.
n=135 NSCLC patients treated with anti-PD-1/PD-L1 therapy.

Built on a Decade of Science

The QF-Pro platform is backed by extensive peer-reviewed research demonstrating clinical utility across multiple cancer types and biomarker targets.

View All Publications →

QF-Pro Primer

A 42-minute guided tour of FLIM-FRET functional proteomics — from the physics of energy transfer to clinical validation in 135 NSCLC patients. Interactive chapter guide with 40 topics linked directly to the glossary.

40 chapters 42 glossary terms 6 thematic acts
Watch the QF-Pro Primer →
1 The Problem — Why Expression Fails
2 The Technology — How FRET-FLIM Works
3 The Product — Violet 3.0 & Workflow
4 Research Applications
5 Clinical Validation — The JCO Evidence
6 Q&A — Expert Answers

How QF-Pro Works

QF-Pro combines precision optics, time-resolved detection, and advanced algorithms to measure molecular interactions directly in tissue.

FLIM-FRET Detection

Measures fluorescence lifetime changes caused by energy transfer between interacting proteins.

Learn about FLIM →
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1-10nm Resolution

FRET only occurs when proteins are within nanometers of each other—confirming direct molecular interaction.

Learn about FRET Efficiency →
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Two-Site Specificity

Dual-antibody coincidence detection provides inherent specificity for true protein-protein interactions.

Learn about iFRET →

Learning Paths

Structured journeys through key topics, with narrative context that explains why each concept matters and how they connect.

The Spatial Proteomics Glossary

A comprehensive reference covering FLIM-FRET technology, spatial proteomics, and their applications in cancer research. Built to support understanding of functional biomarkers.

140+
Curated Terms
14
Interactive Visualizations
Browse the Glossary
scientialux.bio/glossary_term/fret/

Förster Resonance Energy Transfer (FRET)

A distance-dependent quantum mechanical process where energy transfers non-radiatively from an excited donor fluorophore to an acceptor fluorophore. FRET efficiency is inversely proportional to the sixth power of the distance between molecules, making it exquisitely sensitive to molecular proximity at the 1-10nm scale.

Ready to Learn More?

Explore the technology behind functional biomarkers and see how QF-Pro is transforming precision oncology.