Technology.

A label-free optical platform that detects immune response to infection using metabolic autofluorescence and real-time machine learning.

Autofluorescence sensing

Intrinsic biological signals
The platform detects natural fluorescence from metabolic cofactors such as NADH and FAD.

Immune response insight
These signals reflect metabolic changes associated with infection and immune activation.

Optical system design

Dual-excitation architecture
Precision optics isolate relevant emission bands for accurate signal capture.

High-sensitivity detection
Photon detection systems ensure reliable measurements in near-patient conditions.

Embedded machine learning

Real-time inference
Algorithms process spectral data to generate an infection-likelihood score instantly.

Continuous improvement
Models are trained on biological datasets to improve accuracy and robustness.

Integrated platform roadmap

Microfluidic cartridge system
Enables consistent sample handling and optical interrogation.

Future pathogen detection
Planned integration of confirmatory molecular diagnostics within the same device.