Technology.

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

Intrinsic and Optical signals

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

Biological signal analysis
These signals reflect metabolic and biological changes within the sample.

Optical system design

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

High-sensitivity detection
Photon detection systems enable reliable measurement of low-intensity optical signals.”

Embedded machine learning

Real-time inference
Algorithms process spectral data to identify and classify optical signal patterns in real time.

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.