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Facts & Numbers
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Presentation

Presentation

At CAP we perform R&D in applied photonics, principally focusing on optical fibre technology.

We are oriented towards applied research and development in optical fibre sources, optical fibre communication, optical fibre sensors and microfabrication (thin films and integrated optics).

Our group is always looking for opportunities for technology transfer to industrial companies using its specific competencies in optoelectronics and systems integration.

Latest News
Photonics

Portugal and Spain join forces to develop efficient, low-cost solutions for environmental monitoring - and the secret is in the light

Researchers from INESC TEC and the Centre for Research on Nanomaterials and Biomedicine (CINBIO) at the University of Vigo recently secured approval for an exploratory project funded by the Foundation for Science and Technology (FCT), aiming to make optical sensors more accessible and robust. The goal is for these sensors to be used in the detection of contaminants such as glyphosate and BPA, efficiently and at lower costs.

30th September 2025

Photonics

A prototype quantum camera capable of making the invisible visible is being developed by INESC TEC

A team of researchers at INESC TEC is developing a prototype of a quantum camera capable of seeing the invisible. But what does this mean in practice? This prototype will be able to capture information in the infrared (IR) without the need for infrared cameras - which, besides being expensive (costing hundreds of thousands of euros), also have technical limitations, e.g., low resolution and speed, or high noise.

19th September 2025

INESC TEC technology at the service of cultural heritage – an innovative project and an award to prove it

Researcher Diana Guimarães will have a year and a half to apply an approach with “great potential to reveal the manufacturing processes and composition of objects of high historical value”. Meanwhile, the work carried out by PhD student Diana Capela on the analysis of Portuguese tiles received an award. 

20th August 2025

Photonics

INESC TEC develops infrared light technology to disinfect catheters

What if we could replace chemical methods of catheter sterilisation? INESC TEC is part of a multidisciplinary team that developed a medical technology set to revolutionise the way catheters are sterilised, using a solution based on infrared radiation guided by optical fibre.

31st July 2025

Photonics

If you're driving, don't stop, but make sure to check the variable-message signs on Portuguese roads: some feature INESC TEC technology

The variable-message signs on Portuguese roads are now more efficient thanks to a technology developed by INESC TEC, which aims to improve the visibility of LED lights and reduce sun glare in adverse conditions.

27th January 2025

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Featured Projects

ACLART

artificial intelligence-driven in silico simulation for prediction of anterior cruciate ligament reconstruction clinical outcomes

2025-2028

OGS

Portuguese Optical Ground Station

2025-2026

SPECTRA3D

Spectral Imaging and Augmented Reality for Disruptive Cultural Heritage Interpretation

2025-2027

NextGenPFL

Next generation of paraxial fluids of light for versatile analogue quantum simulators

2025-2027

PEXAI

Spectral characterization of textile materials

2025-2025

OBSERVA

Optical Signals and Acoustic Surveillance Observatory

2025-2026

POEMS

PORTUGUESE COMPETENCE CENTRE IN SEMICONDUCTORS

2025-2029

GEOSENSE

Polarization Harnessing in Submarine Optical Cables for Global Geophysical Sensing

2025-2026

INESCTEC.OCEAN

Centre of Excellence in Ocean Research and Engineering

2025-2030

PRR_Infra_25-26

PRR Funding for R&D Unit Infrastructures 2025-2026

2025-2026

SEAGUARD

Sea Environmental Awareness and Guard enhanced with Unmanned AI Robotic Detection

2024-2027

Glass_ID

Technology assessment for glass recycling

2024-2024

LIBS_1_2023

Análise de composição e distribuição elementar pela técnica LIBS de amostras minerais

2023-2023

INNOAQUA

Innovative Approaches for an Integrated Use of Algae in Sustainable Aquaculture Practices and High-Value Food Applications

2023-2027

SUBMERSE

SUBMarine cablEs for ReSearch and Exploration

2023-2026

MODAS

Monitoring the Oceans with Distributed Acoustic Sensing

2023-2026

ATE

Alliance for Energy Transition

2023-2026

PhenoBot-LA8.1

PhenoBot Fotónica Inteligente para Fenotipagem de Culturas Agro-Alimentares - LA 8.1 Agricultura de Precisão

2022-2025

PhenoBot-LA8.3

PhenoBot Fotónica Inteligente para Fenotipagem de Culturas Agro-Alimentares - LA 8.3 Tecnologia

2022-2025

PhenoBot-LA8.4

PhenoBot Fotónica Inteligente para Fenotipagem de Culturas Agro-Alimentares - LA 8.4 Dados

2022-2025

PhenoBot-LA8.5

PhenoBot - Fotónica Inteligente para Fenotipagem de Culturas Agro-Alimentares - LA 8.5 Conhecimento

2022-2025

AgendaTransform

Agenda para a transformação digital do setor florestal para uma economia resiliente e hipocarbónica

2022-2026

Wine4Cast-LA8.1

Previsão espácio-temporal da produtividade vitivinícola para usabilidade multi-ator: integração de sensores ótico-fotónicos remotos, inteligência artificial e cenários climáticos

2022-2025

Wine4Cast-LA8.3

Previsão espácio-temporal da produtividade vitivinícola para usabilidade multi-ator: integração de sensores ótico-fotónicos remotos, inteligência artificial e cenários climáticos

2022-2025

Wine4Cast-LA8.4

Previsão espácio-temporal da produtividade vitivinícola para usabilidade multi-ator: integração de sensores ótico-fotónicos remotos, inteligência artificial e cenários climáticos

2022-2025

Wine4Cast-LA8.5

Previsão espácio-temporal da produtividade vitivinícola para usabilidade multi-ator: integração de sensores ótico-fotónicos remotos, inteligência artificial e cenários climáticos

2022-2025

SMARTCAP

Light-activated cap for catheters sterilization

2022-2026

OmicBots

High-Throughput Integrative Omic-Robots Platform for a Next Generation Physiology-based Precision Viticulture

2022-2026

MYTAG

Dispositivos de monitorização ambiental universais baseados na análise Inteligente de dispersão ótica amplificada com polímeros de impressão molecular

2022-2025

LIRA

Optical Fiber Micro-Kelvin Temperature Sensor Network For Sensitive Optical Payloads

2021-2025

HfPT

Health from Portugal

2021-2026

EUSCORES

EUropean - Scalable and Complementary Offshore Renewable Energy Sources

2021-2027

DFOSREN

DFOS – distributed fibre optic sensing para deteção de colisões nas linhas aéreas de muito alta tensão

2021-2025

SpecTOM_BIPProof2020

Programa de atribuição de apoios para prova de conceito da Universidade do Porto

2021-2021

GREENPEG

Análise de composição elementar pela técnica LIBS

2020-2021

LightBrain

LightBrain - a light speed neuromorphic chip with quantum fluids of light

2020-2022

CorkSurf

Analisador de composição e homogeneidade de tratamentos de superfície por espectroscopia de plasma induzido por laser

2020-2023

CaVaLi

Cadeia de valor do lítio

2020-2023

SMARTFARM40

Soluções inteligentes para uma agricultura sustentável, preditiva e autónoma

2020-2023

inSITE

inSITE. Insitu ore grading system using LIBS in harsh environments

2020-2022

CA18130

European Network for Chemical Elemental Analysis by Total Reflection X-Ray Fluorescence

2020-2020

HotQFL

Quantum Fluids of Light in Hot Atomic Vapors

2020-2023

FOOD4U

Real-time monitoring of fresh food quality with optical sensors

2019-2020

SmartEcotec

Viabilidade de Implementação de Sistema de Inteligência Artificial para o Diagnóstico, Previsão e Controlo Multivariado de Unidades de Tratamento de Lixiviados

2019-2020

WiPTherm

Innovative WIreless Power devices Using micro-Thermoelectric Generators arrays for Nanosatellites

2019-2023

OpTweezers

Consultoria, aconselhamento técnico e acesso a infraestrutura de fabrico e teste de pinças óticas

2019-2022

ESAPlastics

De-risk assessment: spectrometer for marine litter

2019-2021

EFAR

Cabeças sensoras para corrente contínua

2019-2019

FlexOPlan

Planeamento Operacional da Potência Ativa e Reativa na Interface entre TSO e DSO

2019-2021

LED

Consultoria especializada em sistemas óticos

2018-2020

SENVIB

Sensor ótico de vibração para aplicações em transformadores

2018-2018

MetBots

Metabolomic robots with self-learning artificial intelligence for precision agriculture

2018-2021

GreenNanoSensing

Quantum nanoSensing for renewable energy and environmental management

2018-2022

ENDOR

Endoscope based on new optical fibre technology for Raman spectroscopy

2018-2021

SolSensors

Development of advanced fibre optic sensors to monitor the durability of concrete and reinforced concrete structures

2018-2021

SAFEWATER

On chip whispering gallery mode optical microcavities for emerging microcontaminant determination in waters

2018-2021

FLAPSYS

Fiber laser plasma spectroscopy system for real time element analysis

2018-2022

MINDOG

Adaptação de 3 sensores de H2S para incorporação em sistemas de deteção de flatulência canina

2017-2019

TEC4Sea

Modular Platform for Research, Test and Validation of Technologies supporting a Sustainable Blue Economy

2017-2022

INFANTE

Sistema de apresentação da "Maquete do Porto Mediaval", do Museu Casa do Infante

2017-2017

AGRINUPES

Integrated monitoring and control of water, nutrients and plant protection products towards a sustainable agricultural sector

2017-2020

Femto3D

Fabricação tridimensional de dispositivos ópticos integrados por escrita directa com laser femtosegundo

2016-2017

CORAL-SENSORS

CORAL – Sustainable Ocean Exploitation: Tools and Sensors

2016-2018

TECCON2

Acordo de Cooperação em P&D entre INESC P&D Brasil e INESCTEC para participação no projeto TECCON2

2016-2020

STRONGMAR-CRAS

STRengthening MARritime Technology Research Center

2016-2018

CORAL-TOOLS

CORAL – Sustainable Ocean Exploitation: Tools and Sensors

2016-2018

MarineEye

MarinEye - A prototype for multitrophic oceanic monitoring

2015-2017

NanoStima-RL1

NanoSTIMA - Macro-to-Nano Human Sensing Technologies

2015-2019

VAMOS

Viable Alternative Mine Operating System

2015-2019

EYEFRY

Cooking oils degradation assessment system

2014-2015

Re-Learning

Human motor re-learning by sensor information fusion

2014-2015

GOPA

Environmental processes management and optimisation

2013-2014

Spin_Fonao

Magnetic-induced ferroelectricity unravelled through spin-phonon coupling

2013-2015

InCell

Optical fibre tweezers for single cell manipulation and analysis

2013-2014

SNIFFER

Sensor devices network for food supply chain security

2013-2016

ThermaMonitor

System based on optical fibre sensors to monitor temperature in electrical machines

2013-2014

Sensing

Network Sensing for Critical Systems Monitoring

2013-2015

Cyclops

Single-Pixel Imaging Lidar based on Compressive Sensing

2013-2014

SmartGrids

Smart Grids

2013-2015

Cooperation

Cooperation and Perception for Augmented Autonomy

2013-2015

Ecoal-MGT

Ecological Management of Coal Waste Piles

2012-2015

IORT

The effect of shielding on dose distributions in intra-operative electron radiotherapy: a Monte Carlo simulation study

2012-2015

E-Coli

Lab-on-a-chip: E.coli rapid detection

2012-2012

SPR

Plasmonics Based Fibre Optic Sensing with Enhanced Performance

2012-2014

WineBioCode

Biosensor Development for Wine Traceability in the Douro Region

2012-2015

NanoWires

Optical Fibre NanoWires

2012-2012

FLUOROCT

Dose distribution mapping and Monte Carlo simulations in CT-fluoroscopy

2011-2014

Wood

Numerical and experimental study of cohesive laws in bonded wood joints

2011-2014

AQUAMONITOR

Optical fiber sensors for water quality monitoring applied to the determination of dissolved carbon dioxide in aquaculture

2011-2013

Nanovalor

Pole of Competitiveness in Nanotechnology for the enhancement of R&D potential in the Euroregion Galicia-Northern Portugal

2011-2014

MicroNanoCarolina

Expanding activity in optics and optoelectronics: micro and nonofabrication technologies

2010-2012

Multiferroicos

Multiferroic and Magnetoelectric materials for spintronics: obstacles and interfaces

2010-2013

FIBDOSE

Fibre dosimeters for in vitro and in vivo dosimetry in External Radiotherapy and Brachytherapy

2010-2013

SmartCoat

Optical fibre sensors embedded in composite materials to monitor physical parameters

2010-2012

TECCON

Optical fibre sensors to supervise, control and protect electric power systems

2010-2013

SensEFil

Monitoring filament wound vessels using optical sensors embedded in composite reinforcement

2010-2012

MCP

Antibacterial and osteogenic behaviour of Modified Calcium Phosphates (MCP): in vitro and in vivo evaluation

2010-2013

Hybrid

Hybrid electro-optical microfluidic device for single cell analysis

2010-2013

WaveTune

Monitoring systems based on optical fibre technology

2010-2011

SensingVed

Intelligent monitoring system based on sensor networks

2010-2010

Microphyte

Sensors for a new and more competitive bioprocess for the production of hydrogen

2010-2013

SensKanoe

Sensing systems applied to canoes

2009-2012

Mobiles

Sustainable electric mobility - Solutions for the logistics associated with electric vehicle battery charging

2009-2012

SkateMus

Music generation from skater movements

2009-2009

TunLas

Optical fibre tunable lasers

2009-2017

Memimetria

System to measure the thickness of materials using interferometric imaging setups

2008-2010

Biomotion

Perception of biological motion - integrating psychophysics, neurophysiology and computational modeling

2008-2012

Bioswim

Body Interface System based on Wearable Integrated Monitoring

2008-2011

Endurance0

Optical fibre Bragg sensors to monitor structures in Civil Engineering

2008-2010

Nanocrystalline

Glass Ceramics with Non Linear Optical Properties

2008-2011

AmdraphydII

Advanced Monitoring and Diagnosis of the Physical Dynamics of the Estuary of Aveiro

2008-2009

Oreo2

Self-patternable organic/inorganic hybrids for low cost integrated optics devices

2008-2010

SenRONS

Optical fibre sensors to determine reactive oxygen and nitric oxide in biological systems

2008-2011

Motion

Monitoring and compensaTion of Impairments in Optical Networks

2007-2010

Welding

Optical fibre Bragg sensors for friction stir welding (FSW) and laser beam welding (LBW) modeling

2007-2009

Biopelvic

Study of Female Pelvic Floor Disorders

2007-2010

Optic-Algae

Hybrid photobioreactors containing microstructured optical fibres for operations with microalgae

2007-2010

SmartBio

HIP Femoral Prosthesis for in vivo loosening data acqusition

2007-2010

NextGenPCF

Next Generation Photonic Crystal Fibres

2006-2009

Team
002

Laboratories

Laboratory of Microfabrication

Imaging Laboratory

Publications

CAP Publications

View all Publications

2025

Prevalence of Lp(a) in a real-world Portuguese cohort: implications for cardiovascular risk assessment

Authors
Saraiva, M; Garcez, J; da Silva, BT; Ferreira, IP; Oliveira, JC; Palma, I;

Publication
LIPIDS IN HEALTH AND DISEASE

Abstract
Background Cardiovascular disease (CVD) is a major cause of mortality worldwide, necessitating more refined strategies for risk assessment. Recently, lipoprotein(a) [Lp(a)] has gained attention for its distinctive role in atherosclerosis, yet its prevalence and impact for cardiovascular risk assessment are not well-documented in the Portuguese population. This study aimed to characterize Lp(a) levels in a real-world Portuguese cohort, investigating its prevalence and association with CVD risk. Methods Retrospective and cross-sectional study of adults who underwent serum Lp(a) analysis in a Portuguese hospital between August 2018 and June 2022. Demographic and anthropometric data, laboratory values, relevant comorbidities and lipid-lowering medication were collected. Results Of 1134 participants, 28.7% had elevated Lp(a) levels (> 125 nmol/L). A higher prevalence was observed in those with atherosclerotic cardiovascular disease (ASCVD) (45.9%) or a family history of premature CVD (41.9%). Additionally, a significant association was found between elevated Lp(a) levels and traditional CVD risk factors, including hypertension, dyslipidemia, and diabetes mellitus. Among those classified as having low-to-moderate CVD risk by (Systematic COronary Risk Evaluation 2) SCORE2, 55.7% exhibited high Lp(a) levels (> 75 nmol/L), suggesting a potential higher risk of CVD disease. Conclusions The prevalence of elevated Lp(a) in Portugal, notably among those with ASCVD or premature CVD history, is concerning. This study underscores the potential of Lp(a) assessment for a more comprehensive approach to cardiovascular risk assessment. This could improve the stratification of CVD risk and identify individuals who could benefit from early intensive management of their risk factors, ultimately reducing the burden of CVD and cardiovascular-related mortality.

2025

Improving LIBS-based mineral identification with Raman imaging and spectral knowledge distillation

Authors
Lopes, T; Cavaco, R; Capela, D; Dias, F; Teixeira, J; Monteiro, CS; Lima, A; Guimaraes, D; Jorge, PAS; Silva, NA;

Publication
TALANTA

Abstract
Combining data from different sensing modalities has been a promising research topic for building better and more reliable data-driven models. In particular, it is known that multimodal spectral imaging can improve the analytical capabilities of standalone spectroscopy techniques through fusion, hyphenation, or knowledge distillation techniques. In this manuscript, we focus on the latter, exploring how one can increase the performance of a Laser-induced Breakdown Spectroscopy system for mineral classification problems using additional spectral imaging techniques. Specifically, focusing on a scenario where Raman spectroscopy delivers accurate mineral classification performance, we show how to deploy a knowledge distillation pipeline where Raman spectroscopy may act as an autonomous supervisor for LIBS. For a case study concerning a challenging Li-bearing mineral identification of spodumene and petalite, our results demonstrate the advantages of this method in improving the performance of a single-technique system. LIBS trained with labels obtained by Raman presents an enhanced classification performance. Furthermore, leveraging the interpretability of the model deployed, the workflow opens opportunities for the deployment of assisted feature discovery pipelines, which may impact future academic and industrial applications.

2025

Advancing automated mineral identification through LIBS imaging for lithium-bearing mineral species

Authors
Capela, D; Lopes, T; Dias, F; Ferreira, MFS; Teixeira, J; Lima, A; Jorge, PAS; Silva, NA; Guimaraes, D;

Publication
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY

Abstract
Mineral identification is a challenging task in geological sciences, which often implies multiple analyses of the physical and chemical properties of the samples for an accurate result. This task is particularly critical for the mining industry, where proper and fast mineral identification may translate into major efficiency and performance gains, such as in the case of the lithium mining industry. In this study, a mineral identification algorithm optimized for analyzing lithium-bearing samples using Laser-induced breakdown spectroscopy (LIBS) imaging, is put to the test with a set of representative samples. The algorithm incorporates advanced spectral processing techniques-baseline removal, Gaussian filtering, and data normalization-alongside unsupervised clustering to generate interpretable classification maps and auxiliary charts. These enhancements facilitate rapid and precise labelling of mineral compositions, significantly improving the interpretability and interactivity of the user interface. Extensive testing on diverse mineral samples with varying complexities confirmed the algorithm's robustness and broad applicability. Challenges related to sample granulometry and LIBS resolution were identified, suggesting future directions for optimizing system resolution to enhance classification accuracy in complex mineral matrices. The integration of this advanced algorithm with LIBS technology holds the potential to accelerate the mineral evaluation, paving the way for more efficient and sustainable mineral exploration.

2025

Enhancing spectral imaging with multi-condition image fusion

Authors
Teixeira, J; Lopes, T; Capela, D; Monteiro, CS; Guimaraes, D; Lima, A; Jorge, PAS; Silva, NA;

Publication
SCIENTIFIC REPORTS

Abstract
Spectral Imaging techniques such as Laser-induced Breakdown Spectroscopy (LIBS) and Raman Spectroscopy (RS) enable the localized acquisition of spectral data, providing insights into the presence, quantity, and spatial distribution of chemical elements or molecules within a sample. This significantly expands the accessible information compared to conventional imaging approaches such as machine vision. However, despite its potential, spectral imaging also faces specific challenges depending on the limitations of the spectroscopy technique used, such as signal saturation, matrix interferences, fluorescence, or background emission. To address these challenges, this work explores the potential of using techniques from conventional RGB imaging to enhance the dynamic range of spectral imaging. Drawing inspiration from multi-exposure fusion techniques, we propose an algorithm that calculates a global weight map using exposure and contrast metrics. This map is then used to merge datasets acquired with the same technique under distinct acquisition conditions. With case studies focused on LIBS and Raman Imaging, we demonstrate the potential of our approach to enhance the quality of spectral data, mitigating the impact of the aforementioned limitations. Results show a consistent improvement in overall contrast and peak signal-to-noise ratios of the merged images compared to single-condition images. Additionally, from the application perspective, we also discuss the impact of our approach on sample classification problems. The results indicate that LIBS-based classification of Li-bearing minerals (with Raman serving as the ground truth), is significantly improved when using merged images, reinforcing the advantages of the proposed solution for practical applications.

2025

From waste to resource: LIBS methodology development for rapid quality assessment of recycled wood

Authors
Capela, D; Pessanha, S; Lopes, T; Cavaco, R; Teixeira, J; Ferreira, MFS; Magalhaes, P; Jorge, PAS; Silva, NA; Guimaraes, D;

Publication
JOURNAL OF HAZARDOUS MATERIALS

Abstract
Management and reuse of wood waste can be a challenging process due to the frequent presence of hazardous contaminants. Conventional detection methods are often limited by the need for excessive sample preparation and lengthy and expensive analysis. Laser-induced Breakdown Spectroscopy (LIBS) is a rapid and micro- destructive technique that can be a promising alternative, providing in-situ and real-time analysis, with minimal to no sample preparation required. In this study, LIBS imaging was used to analyze wood waste samples to determine the presence of contaminants such as As, Ba, Cd, Cr, Cu, Hg, Pb, Sb, and Ti. For this analysis, a methodology based on detecting three lines per element was developed, offering a screening method that can be easily adapted to perform qualitative analysis in industrial contexts with high throughput operations. For the LIBS experimental lines selection, control and reference samples, and a pilot set of 10 wood wastes were analysed. Results were validated by two different X-ray Fluorescence (XRF) systems, an imaging XRF and a handheld XRF, that provided spatial elemental information and spectral information, respectively. The results obtained highlighted LIBS ability to detect highly contaminated samples and the importance of using a 3-line criteria to mitigate spectral interferences and discard outliers. To increase the dataset, a LIBS large-scale study was performed using 100 samples. These results were only corroborated by the XRF-handheld system, as it provides a faster alternative. In particular cases, ICP-MS analysis was also performed. The success rates achieved, mostly above 88 %, confirm the capability of LIBS to perform this analysis, contributing to more sustainable waste management practices and facilitating the quick identifi- cation and remediation of contaminated materials.

Facts & Figures

14Senior Researchers

2016

3R&D Employees

2020

12Papers in indexed journals

2020

Contacts