Platform Technology​

InfectiScan™ is a next-generation pathogen detection platform developed by CCI Photonics, combining advanced infrared spectroscopy with machine-learning analytics to enable rapid, non-invasive identification of infectious agents.

The technology analyses the unique infrared spectral signatures of biological samples and uses trained AI models to detect pathogen-associated molecular patterns. This approach enables fast screening and identification without the need for complex biochemical preparation or lengthy laboratory workflows.

InfectiScan is designed to support rapid diagnostics, screening, and surveillance across clinical, healthcare, and public health environments.

InfectiScan™ integrates infrared photonics hardware, advanced signal processing, and machine-learning classification models into a single diagnostic platform.

Infrared Spectral Analysis

Biological molecules absorb infrared light at characteristic wavelengths that reflect their chemical structure. InfectiScan captures these molecular fingerprints from samples and generates high-resolution spectral data.

These spectral patterns contain valuable information about:

Proteins
Lipids
Nucleic acids

Pathogen-associated molecular signatures

Subtle differences in these molecular patterns allow the system to distinguish between healthy and infected samples.

Spectral datasets are processed using machine learning algorithms trained on large libraries of biological signatures.

The system identifies complex patterns in the spectral data that correlate with specific pathogen presence or infection states.

This AI-driven approach enables:

1. High-sensitivity detection of infection signatures

2. Rapid classification of pathogen-associated patterns.

3. Continuous model improvement as datasets expand.

Rapid Results
Infrared spectral analysis enables fast sample assessment without lengthy culture processes.

Non-Destructive Analysis
Samples can be analysed without complex chemical reagents or destructive preparation.

AI-Enhanced Accuracy
Machine learning algorithms detect subtle spectral patterns that may be invisible to conventional analysis.

Scalable Screening
The platform is designed for high-throughput screening and large-scale infectious disease monitoring.

Future-Ready Diagnostics
Machine learning models can be updated to recognise emerging pathogens as new spectral data becomes available.