PHOTOMIX

About PHOTOMIX

PHOTOMIX is an innovative multimodal photonic sensing platform designed to deliver compact, high-performance, and cost-efficient analysis across healthcare, environmental monitoring, and industrial sustainability applications. By integrating miniaturised FTIR spectroscopy, spontaneous and stimulated Raman imaging, visible imaging, and photothermal spectroscopy into a single broadband hyperspectral platform, PHOTOMIX enables fast, accurate, and information-rich sensing. Enhanced through data fusion and machine learning, the system provides advanced identification and classification capabilities for applications including cancer diagnostics, microplastics detection, and polymer biodegradation analysis.

Consortium

Project Objectives

1

Develop a compact multimodal photonic sensing platform combining FTIR, Raman, stimulated Raman, VIS imaging, and photothermal spectroscopy

2

Enable broadband, hyperspectral, and multiscale imaging for high-precision sensing and analysis

3

Advance miniaturised and portable FTIR and Raman imaging technologies with improved performance and automation

4

Develop AI-driven multimodal data fusion and explainable analytics for accurate identification and classification

5

Integrate sensing modalities into unified systems for healthcare, microplastics detection, and polymer biodegradation monitoring

6

Achieve fast, high-resolution, and non-destructive sensing for real-world environmental, industrial, and biomedical applications

Project’s Work Packages

Some important work packages from the project

Develop the PHOTOMIX Sensing Modalities

Focuses on developing and improving the individual sensing technologies, including MEMS-FTIR, Raman imaging, stimulated Raman spectroscopy, VIS imaging, and photothermal sensing. The goal is to achieve compact, portable, high-performance multimodal sensing systems.

PHOTOMIX Data Fusion Platform & AI Models

Develops the AI-driven data fusion platform that combines information from all sensing modalities. It includes predictive AI models, explainable and causal AI tools, multimodal analytics, and an interactive cloud-based platform for data processing and visualization.

Use Cases, System Validation & Performance Assessment

Validates the PHOTOMIX systems in real-world healthcare, environmental, and industrial scenarios. It assesses system performance, usability, user acceptance, and prepares recommendations and lessons learned for future deployment and commercialization.

System Integration & Preliminary Testing

Integrates the different sensing modalities into complete demonstrators for each use case. The work package also performs laboratory testing, hardware/software integration, and preliminary validation under controlled conditions.

PHOTOMIX Consortium

Start date: 01/05/2026
Duration: 42 months
Funding: € 4 994 238.14
Partners: 12
Countries: 6

CYRIC

Coordinator – CY

SIWARE

IZONICS

CRI

UGE

IPHT

TUW

UPATRAS

VIVID

POLIMI

JUH

UNIVIE

The PHOTOMIX Use Cases

Health Care:
PHOTOMIX will support faster and more accurate diagnosis of head and neck cancers through multimodal photonic sensing and AI-driven analysis. By combining FTIR, VIS imaging, and stimulated Raman spectroscopy, the system aims to provide non-destructive, high-resolution tissue analysis that can assist clinicians in identifying malignant regions and improving diagnostic workflows.
Environmental Monitoring:
The project will enable advanced identification and classification of microplastics in drinking water using integrated FTIR, Raman, and VIS imaging technologies. PHOTOMIX will provide automated, high-throughput analysis capable of distinguishing plastic types, particle ageing, and potential contaminants, supporting environmental monitoring and public health protection.

Industrial Sustainability:
PHOTOMIX will deliver innovative tools for monitoring polymer biodegradation processes in aquatic environments. Using photothermal spectroscopy and Raman sensing, the system will track chemical and structural changes in biodegradable materials in real time, helping industries evaluate material sustainability and optimize biodegradation testing procedures.

News And Results

Zenodo Repository Published Results

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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or of the granting authority. Neither the European Union nor the granting authority can be held responsible for them.

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Unified digital platform for multimodal, multiscale, broadband, hyperspectral imaging