Research

The goal of his research is to develop new techniques of optical imaging analysis and biomedical signals processing, in order to improve diagnosis and assessment of diseases.

His research areas are optical imaging, spectroscopy and biomedical signals processing. Current applications to Parkinson's disease and other neurological conditions.

Grants

2021 Technical Leader “Del laboratorio al hospital, actividades de fomento a vocaciones científicas y tecnológicas en el área de la salud”. Proyectos para fortalecer la formación de recursos humanos en investigación, desarrollo tecnológico e innovación. Funding: trust 23871 COPOCyT $71,560.44

2020 Technical Leader “Improving the Performance and Design of Interdigital Biosensors with Machine Learning for the Discovery of Parkinson’s Disease Biomarkers in Biofluids”. Frontier Science 2019 project 20884. Funding: CONACyT $3,071,733

2020 Technical Leader “Detección de L-Asparagina a concentraciones fisiológicas mediante espectroscopía Raman mejorada por superficie”. Fondo de Apoyo a la Investigación C20-FAI-10-23.23. Funding: UASLP $40,419.40

2018 Technical Leader “Sistema de imagenología óptica intrínseca de bajo costo”. Fondo de Apoyo a la Investigación C18-FAI-05-31.31. Funding: UASLP $49,479.39

2016-2018 Technical Leader "Análisis de lesiones de materia blanca en neonatos a través de imagenología óptica (Analyse de lésions de matière blanche chez le nouveau-né à l'aide de l'imagerie optique)". Bilateral partnership México-Quebec 2015 project No. 265578. Funding: CONACyT $105,600

2016 Technical Leader extension to “Telemedicine Concept 3.0: Prediagnóstico De Cardiopatías Con Pruebas De Laboratorio Portables”. AMUNET, S.A. de C.V. Proinnova project No. 231431. Funding: CONACyT / UDLAP $2,100,000

2015 Technical Leader “Telemedicine Concept 3.0: Prediagnóstico De Cardiopatías Con Pruebas De Laboratorio Portables”. AMUNET, S.A. de C.V. Proinnova project No. 220971. Funding: CONACyT $9,997,500 / UDLAP $1,900,000

2014 Supported Researcher “Conectividad funcional en estado de reposo aplicada a lesiones de materia blanca en neonatos prematuros” Apoyos Complementarios para la Consolidación Institucional de Grupos de Investigación, Repatriation grant No. 232530. Funding CONACyT $224,867 / UDLAP $224,867

Current and Past Research Projects

Low-cost embedded system for optical imaging of intrinsic signals

(Top Left) The ΔHbR time course is extracted from a specific region, e.g. the right somatosensory cortex SR.

(Bottom) The time course is shown for the seed region (SR orange) and a seed positively correlated with this seed region in the contralateral somatosensory cortex (SL, blue, r=+0.8160).

(Top Right) Correlation coefficients are computed between SR seed and all other pixels in the brain. The spatial distribution shows both correlations and anticorrelations, thresholded at p<0.05.

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Telemetry application to transfer information from Lateral Flow ImmunoAssays (LFIA)

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Mechanical housing with LFIA Kit and optoelectronic detection system

Multimodal image of skin biopsy showing the polysaccharides Raman map at 848 cm-1 (left) and fluorescence map (right) superimposed over the surface of the corresponding optical coherence tomography (OCT) volume

Principle of seed-based functional connectivity:

(Top Left) The ΔCMRO2 time course is extracted from a specific region, e.g. the right somatosensory cortex SR.

(Bottom) The time course is shown for the seed region (SR red), a seed positively correlated with this seed region in the contralateral somatosensory cortex (SL, orange, r = +0.6160) and a region negatively correlated with the seed region in the right visual cortex (VR, blue, r = −0.5570).

(Top Right) Correlation coefficients are computed between SR seed and all other pixels in the brain. The spatial distribution shows both correlations (negative values) and anticorrelations (negative values), thresholded at an arbitrary value of |r| = 0.35.

Principle of seed-based functional connectivity using optical imaging of intrinsic signals

Photoacoustic sO2 signal computed over an ROI in the cerebral cortex increases during transient oxygen challenge.

Swept-source Optical Coherence Tomography system