Lumnora provides a compact imaging flow cytometer that enables high-throughput, sub-200 nm characterization of extracellular vesicles for precision medicine research and diagnostics. The system combines light-sheet and structured-illumination microscopy with real-time AI classification, processing up to 50,000 EVs per minute from minimally prepared blood, urine, or CSF samples. It delivers AI-ready datasets that translate directly into clinical programs.
Funding
Funding not disclosed
Founders
Product
Problem
Extracellular vesicles (EVs) are emerging as critical biomarkers for disease diagnosis and monitoring, but existing characterization methods are limited. Conventional flow cytometry lacks the resolution to detect the full EV dimensional range (30-200 nm), while super-resolution microscopy offers high detail but suffers from low throughput and complex workflows, preventing routine clinical adoption.
Solution
Lumnora delivers a compact imaging flow cytometer that combines light-sheet microscopy and structured-illumination to achieve sub-200 nm optical resolution with high-throughput parallel analysis. The system integrates automated EV enrichment from blood, urine, or cerebrospinal fluid, followed by real-time AI-driven pattern recognition that decodes EV heterogeneity at speeds up to 50,000 EVs per minute. This single automated run provides the sensitivity of super-resolution microscopy, the throughput of conventional cytometry, and produces AI-ready datasets that can be directly integrated into clinical diagnostic programs. The instrument features an ultra-compact, alignment-free design with upgradable, low-cost consumables, making advanced EV analysis accessible for routine laboratory use.
Target Audience
Primary customers are clinical research laboratories, diagnostic companies, and academic research institutions focused on EV-based biomarker discovery, precision medicine programs, and translational diagnostics development.
Features
- Light-sheet microscopy for increased sensitivity, parallel EV analysis, and 3D imaging of cells in their native environment
- Structured-illumination technology enabling optical imaging of sub-200 nm features, covering the full EV dimensional range (30-200 nm) for reliable co-localization studies
- Microfluidics and AI integration delivering over 5x throughput at 50K EVs/min with single-click workflow and real-time analysis, achieving approximately 90% time savings
- On-chip integration with upgradable consumables at low production cost, housed in an ultra-compact footprint under 0.2 m³ with alignment-free, scalable design
- Automated sample preparation from blood, urine, or CSF with minimal user input
- Real-time AI classification for EV heterogeneity decoding and pattern recognition