A5084500791- Spectroscopy Techniques in Biomedical and Chemical Research
- Spectroscopy and Chemometric Analyses
- Optical Imaging and Spectroscopy Techniques
- Infrared Thermography in Medicine
- EEG and Brain-Computer Interfaces
- Thermography and Photoacoustic Techniques
- Bee Products Chemical Analysis
- Thermoregulation and physiological responses
- Functional Brain Connectivity Studies
- Non-Invasive Vital Sign Monitoring
- Photoacoustic and Ultrasonic Imaging
- Advanced Chemical Sensor Technologies
- Optical Coherence Tomography Applications
- Gold and Silver Nanoparticles Synthesis and Applications
- Muscle activation and electromyography studies
- Diabetic Foot Ulcer Assessment and Management
- Neural dynamics and brain function
- Hydraulic Fracturing and Reservoir Analysis
- Advanced MRI Techniques and Applications
- Traumatic Brain Injury and Neurovascular Disturbances
- Dermatologic Treatments and Research
- Oil and Gas Production Techniques
- Thermal Regulation in Medicine
- Advanced Fluorescence Microscopy Techniques
- Neonatal and fetal brain pathology
Autonomous University of San Luis Potosí
2010-2025
Consejo Nacional de Humanidades, Ciencias y Tecnologías
2017-2019
Consejo Nacional de Ciencia y Tecnología
2017
Instituto Tecnológico de León
2017
Universidad de las Américas Puebla
2015
Polytechnique Montréal
2010-2014
Montreal Heart Institute
2013
Benemérita Universidad Autónoma de Puebla
2012
Petroleum of Venezuela (Venezuela)
2007
Type 2 diabetes mellitus (DM2) is one of the most widely prevalent diseases worldwide and currently screened by invasive techniques based on enzymatic assays that measure plasma glucose concentration in a laboratory setting. A promising plan action for screening DM2 to identify molecular signatures non-invasive fashion. This work describes application portable Raman spectroscopy coupled with several supervised machine-learning techniques, discern between diabetic patients healthy controls...
Infrared thermography is a technique that can detect anomalies in temperature patterns which indicate some breast pathologies including cancer. One limitation of the method absence standardised interpretation procedures. Deep learning models have been used for pattern recognition and classification objects adopted as an adjunct methodology medical imaging diagnosis. In this paper, use deep convolutional neural network (CNN) with transfer proposed to automatically classify thermograms into...
Breast cancer is one of the major causes death for women. Temperature measurement advantageous because it non-invasive, non-destructive, and cost-effective. through infrared thermography useful to detect changes in blood perfusion that can occur due inflammation, angiogenesis, or other pathological causes. In this work, we analyzed 206 thermograms patients with suspected breast cancer, using a classification method, which thermal asymmetries were computed, most vascularized areas each...
SignificancePeople with Parkinson's disease (PD) experience changes in fine motor skills, which is viewed as one of the hallmark signs this disease. Due to its non-invasive nature and portability, functional near-infrared spectroscopy (fNIRS) a promising tool for assessing related skills.AimWe aim compare activation patterns primary cortex using fNIRS, comparing volunteers PD sex- age-matched control participants during task walking. Moreover, inter intrahemispheric connectivity (FC) was...
Background Arterial stiffness has been identified as an important risk factor for cognitive decline. However, its effects on the brain's health are unknown, and there is no animal model available to study precise impact of arterial brain. Therefore, objective was develop characterize a new specific in order Methods Results Calcium chloride (CaCl 2 ) applied carotid arteries mice, inducing increase collagen distribution intima–media thickness, fragmentation elastin, decrease compliance...
This study addresses the challenge of monitoring oxide layer formation in 1045 steel, a critical issue affecting mechanical properties and phase stability during high-temperature processes (900 °C). To tackle this, an image processing algorithm was developed to detect segment regions interest (ROIs) oxidized steel surfaces, utilizing infrared thermography as non-contact, real-time measurement technique. Controlled heating experiments ensured standardized data acquisition, demonstrated...
In agriculture, machine learning (ML) and deep (DL) have increased significantly in the last few years. The use of ML DL for image classification plant disease has generated significant interest due to their cost, automatization, scalability, early detection. However, high-quality datasets are required train robust classifier models this work, we created an dataset 649 orange leaves divided into two groups: control (n = 379) huanglongbing (HLB) 270). images were acquired with several...
Functional electrical stimulation (FES) has been found to be effective in restoring voluntary functions after spinal cord injury (SCI) and stroke. However, the central nervous system (CNS) changes that occur as a result of this therapy are largely unknown.To examine effects FES on restoration locomotor function CNS SCI rat model.SCI rats were instrumented with chronic electrodes hindlimb muscles divided into two groups: (a) (b) sedentary. At day 7 post-SCI, animals assessed for locomotion...
Infrared thermography can be used for pre-screening of breast cancer but the results this technique depend on experience human expert. We propose an automated analysis approach to assess capabilities deep neural networks classify thermograms. The dataset consisted 173 images and we compared seven learning architectures. VGG-16 convolutional network outperformed with a sensitivity 100%, specificity 82.35% balanced accuracy 91.18%. Such indicate that in thermal pre-screening.
Various aspects of yoga have been researched for their psychological benefits, yet the neurological mechanisms underlying physical postures (asana) remain inadequately explored due to limitations in prior neuroimaging techniques. The pre-frontal cortex (PFC) has established as an important region interest (ROI) concerning health. Therefore, this study aimed characterize changes PFC before, during and after asana by applying functional near-infrared spectroscopy (fNIRS) mobile technique....
A shared understanding of terminology is essential for clear scientific communication and minimizing misconceptions. This particularly challenging in rapidly expanding, interdisciplinary domains that utilize functional near-infrared spectroscopy (fNIRS), where researchers come from diverse backgrounds apply their expertise fields such as engineering, neuroscience, psychology. The fNIRS Glossary Project was established to develop a community-sourced glossary covering key terms, including...
Background The precise assessment of cerebral saturation changes during an inflammatory injury in the developing brain, such as seen periventricular leukomalacia, is not well defined. This study investigated impact inflammation on locoregional oxygen a newborn rodent model using photoacoustic imaging. Methods 1 mg/kg lipopolysaccharide(LPS) diluted saline or alone was injected under ultrasound guidance directly corpus callosum P3 rat pups. Coronal images were carried out 24 h after LPS...
The potential of intrinsic optical imaging and resting-state analysis under anesthetized conditions as a tool to study brain networks associated with epileptic seizures is investigated. Using an acute model epileptiform activity, the 4-aminopyridine in live mice, we observe changes onset seizure activity spiking activity. Resting-state identified before after show both decreased increased homologous correlations, small dependence on intensity. observed are not uniform across different...
This study aims to assess the impact of unilateral increases in carotid stiffness on cortical functional connectivity measures resting state. Using a novel animal model induced arterial combined with optical intrinsic signals and laser speckle imaging, state networks derived from hemodynamic are investigated for their modulation by isolated changes right common artery. By means seed-based analysis, results showed decreasing trend homologous correlation motor cingulate cortices. Furthermore,...
Intrinsic optical imaging (IOI) has emerged as a very powerful tool to assess neuronal function in small animals. Although it been used extensively the brain, its application spinal cord is rare. The inability of intrinsic techniques resolve different depths and embedded gray matter hampers their capacity distinguish larger vasculature contributions hemodynamic signals originating from motoneuron interneuron activation. Laminar tomography (LOT) recently-developed method that fills gap left...
Melasma is an acquired, facial hyperpigmentation without a specific origin. It regularly associated with multiple etiologic factors such as pregnancy, genetic, racial, and from estrogen administration. Among the methods to treat skin series of bleaching agents have been used. At present, most commonly used agent known hydroquinone. Nowadays, it that hydroquinone can cause cancer in animals unknown relevance humans.In this work, Raman spectroscopy was observe presence 18 patients who under...
Adipose tissue presents structural and functional changes in obesity type 1 diabetes mellitus (T1DM). In obesity, the size number of adipocytes adipokine secretion increases. T1DM, a loss adipose suggests metabolic activity this tissue. A significant challenge is to find alternative noninvasive methods evaluate molecular related T1DM. Recently, Raman spectroscopy chemometrics techniques have emerged as tool for biological analysis. work, we propose use characterize spectral differences from...
The purpose of this research is to introduce an approach assist the diagnosis Parkinson's disease (PD) by classifying
Melasma is an abnormal acquired skin hyperpigmentation disorder, typically on the face, of unknown origin. It considered a single disease and very little has been found regarding its pathogenesis. Hydroquinone, aromatic organic molecule, as gold standard substance for dermatological melasma treatment. This at high concentrations being absorbed by may produce counterproductive disorders, such blue or brownish-blue colored skin. In recent years, optical techniques based interaction light with...
In this article, we investigated the feasibility of using Raman spectroscopy and multivariate analysis method to noninvasively screen for prediabetes diabetes in vivo. measurements were performed on skin from 56 patients with diabetes, 19 prediabetic 32 healthy volunteers. These spectra collected along reference values provided by standard glycated hemoglobin (HbA1c) assay. A multiclass principal component support vector machine (PCA-SVM) model was created labeled validated through a...
Abstract To improve the early and reliable detection of cancer novel methods for identification associated biomarkers can suppose a big advantage over most techniques nowadays used diagnosis because these generally have disadvantages being laborious, invasive, dependent on physician's experience. The biomarker wild‐type p53 protein is naturally present in human body activated when cellular damage detected. Mutations are related to presence tumors. In this work, Raman spectra mutant were...