Jose Manuel Amigo

Distinguished Professor

University of the Basque Country

Spain

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About

Dr. Jose Manuel Amigo is a Distinguished Professor at the University of the Basque Country, Spain. His research focuses on advanced spectroscopic techniques, including hyperspectral imaging and Raman spectroscopy, to address challenges in health and food safety. Recent publications highlight his work on noninvasive diagnostics for Alzheimer's disease and the application of chemometric methods in food quality assessments.

Articles (19)

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2025

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2021

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2020

Collaborators (4)

Vitor Hugo da Silva

Aarhus University

DENMARK

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Jose Blasco

Profesor de Investigacion

Instituto Valenciano de Investigaciones Agrarias

SPAIN

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Sergey Kucheryavskiy

Aalborg University

DENMARK

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Ana M. Jiménez-Carvelo

Universidad de Granada

SPAIN

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Jose Manuel Amigo

Research Interests

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About

Articles (19)

Strategies for analysing hyperspectral imaging data for food quality and safety issues – A critical review of the last 5 years

Hyperspectral Raman imaging to understand patterns in dried biofluids in Alzheimer's disease

Portable near infrared spectrometer to predict physicochemical properties in cape gooseberry (Physalis peruviana L.): An approach using hierarchical classification/regression modelling

Rapid noninvasive lung cancer screening via discriminative wavenumbers in Raman spectroscopy

Optimizing Recovery of High-Added-Value Compounds from Complex Food Matrices Using Multivariate Methods

Prediction of physicochemical properties of cape gooseberry (Physalis peruviana L.) using near infrared hyperspectral imaging (NIR-HSI)

Coupling randomisation and sparse modelling for the exploratory analysis of large hyperspectral datasets

Unlocking Preclinical Alzheimer’s: A Multi-Year Label-Free In Vitro Raman Spectroscopy Study Empowered by Chemometrics

Does hyperspectral always matter? A critical assessment of near infrared versus hyperspectral near infrared in the study of heterogeneous samples

Prediction of protein and lipid content in black soldier fly (Hermetia illucens L.) larvae flour using portable NIR spectrometers and chemometrics

Issues with the detection and classification of microplastics in marine sediments with chemical imaging and machine learning

The importance of choosing a proper validation strategy in predictive models. A tutorial with real examples

Successful Applications of NIR Spectroscopy and NIR Imaging in the Food Processing Chain

Assessment of macronutrients and alpha-galactosides of texturized vegetable proteins by near infrared hyperspectral imaging

Data reduction by randomization subsampling for the study of large hyperspectral datasets

Data Mining, Machine Learning, Deep Learning, Chemometrics. Definitions, common points and Trends (Spoiler Alert: VALIDATE your models!)

Near infrared hyperspectral imaging and spectral unmixing methods for evaluation of fiber distribution in enriched pasta

A single model to monitor multistep craft beer manufacturing using near infrared spectroscopy and chemometrics

Classification and Quantification of Microplastics (<100 μm) Using a Focal Plane Array–Fourier Transform Infrared Imaging System and Machine Learning

Collaborators (4)

Vitor Hugo da Silva

Jose Blasco

Sergey Kucheryavskiy

Ana M. Jiménez-Carvelo

Make your next move.

Jose Manuel Amigo

Research Interests

Explore related searches

Contact this professor

About

Articles (19)

Strategies for analysing hyperspectral imaging data for food quality and safety issues – A critical review of the last 5 years

Hyperspectral Raman imaging to understand patterns in dried biofluids in Alzheimer's disease

Portable near infrared spectrometer to predict physicochemical properties in cape gooseberry (Physalis peruviana L.): An approach using hierarchical classification/regression modelling

Rapid noninvasive lung cancer screening via discriminative wavenumbers in Raman spectroscopy

Optimizing Recovery of High-Added-Value Compounds from Complex Food Matrices Using Multivariate Methods

Prediction of physicochemical properties of cape gooseberry (Physalis peruviana L.) using near infrared hyperspectral imaging (NIR-HSI)

Coupling randomisation and sparse modelling for the exploratory analysis of large hyperspectral datasets

Unlocking Preclinical Alzheimer’s: A Multi-Year Label-Free In Vitro Raman Spectroscopy Study Empowered by Chemometrics

Does hyperspectral always matter? A critical assessment of near infrared versus hyperspectral near infrared in the study of heterogeneous samples

Prediction of protein and lipid content in black soldier fly (Hermetia illucens L.) larvae flour using portable NIR spectrometers and chemometrics

Issues with the detection and classification of microplastics in marine sediments with chemical imaging and machine learning

The importance of choosing a proper validation strategy in predictive models. A tutorial with real examples

Successful Applications of NIR Spectroscopy and NIR Imaging in the Food Processing Chain

Assessment of macronutrients and alpha-galactosides of texturized vegetable proteins by near infrared hyperspectral imaging

Data reduction by randomization subsampling for the study of large hyperspectral datasets

Data Mining, Machine Learning, Deep Learning, Chemometrics. Definitions, common points and Trends (Spoiler Alert: VALIDATE your models!)

Near infrared hyperspectral imaging and spectral unmixing methods for evaluation of fiber distribution in enriched pasta

A single model to monitor multistep craft beer manufacturing using near infrared spectroscopy and chemometrics

Classification and Quantification of Microplastics (<100 μm) Using a Focal Plane Array–Fourier Transform Infrared Imaging System and Machine Learning

Collaborators (4)

Vitor Hugo da Silva

Jose Blasco

Sergey Kucheryavskiy

Ana M. Jiménez-Carvelo

Make your next move.

Strategies for analysing hyperspectral imaging data for food quality and safety issues – A critical review of the last 5 years