A5012744220- Advanced Fluorescence Microscopy Techniques
- Viral gastroenteritis research and epidemiology
- Cell Image Analysis Techniques
- Virus-based gene therapy research
- Image Processing Techniques and Applications
- Robotics and Sensor-Based Localization
- Bacteriophages and microbial interactions
- Gaze Tracking and Assistive Technology
- Bayesian Modeling and Causal Inference
- Remote Sensing in Agriculture
- Data Management and Algorithms
- Advanced Vision and Imaging
- Advanced Electron Microscopy Techniques and Applications
- Photoacoustic and Ultrasonic Imaging
- Functional Brain Connectivity Studies
- Smart Agriculture and AI
- Genetic and Kidney Cyst Diseases
- Spectroscopy Techniques in Biomedical and Chemical Research
- Bioinformatics and Genomic Networks
- Biomimetic flight and propulsion mechanisms
- Indoor and Outdoor Localization Technologies
- Information Retrieval and Search Behavior
- Balance, Gait, and Falls Prevention
- Advanced Image and Video Retrieval Techniques
- Greenhouse Technology and Climate Control
Universidad Autónoma del Estado de Morelos
2009-2022
Mathematics Research Center
2007
Abstract The resolution of fluorescence microscopy images is limited by the physical properties light. In last decade, numerous super-resolution (SRM) approaches have been proposed to deal with such hindrance. Here we present Mean-Shift Super Resolution (MSSR), a new SRM algorithm based on Mean Shift theory, which extends spatial single beyond diffraction limit MSSR works low and high fluorophore densities, not architecture optical setup applicable as well temporal series. theoretical...
Crop segmentation is an important task in Precision Agriculture, where the use of aerial robots with on-board camera has contributed to development new solution alternatives. We address problem fig plant top-view RGB (Red-Green-Blue) images a crop grown under open-field difficult circumstances complex lighting conditions and non-ideal maintenance practices defined by local farmers. present Convolutional Neural Network (CNN) encoder-decoder architecture that classifies each pixel as or...
Rotavirus genome replication and assembly take place in cytoplasmic electron dense inclusions termed viroplasms (VPs). Previous conventional optical microscopy studies observing the intracellular distribution of rotavirus proteins their organization VPs have lacked molecular-scale spatial resolution, due to inherent resolution constraints. In this work we employed super-resolution reveal nanometric-scale formed during infection, quantitatively describe structural seven viral within around...
The automatic classification of plants with nutrient deficiencies or excesses is essential in precision agriculture. In particular, being able to perform early detection concentrations would increase the production crop yields and make appropriate use fertilizers. RGB cameras represent a low-cost alternative sensor for plant monitoring, but this task complicated when it purely visual has limited samples. paper, we analyze Curriculum by Smoothing technique small dataset images (144 per class)...
Tracing tubular structures from biomedical images is important for a wide range of applications. Particularly, the spermatozoon an essential cell whose flagella have form. Its main function to fertilize egg, and flagellum fundamental achieve this task which depends importantly on dynamics intracellular calcium ([Ca2+]i). Measuring [Ca2+]i along in 3-D not simple matter since it requires: 1) sophisticated fluorescence imaging techniques dealing with low intensity signal noise ratio (SNR) 2)...
This paper presents a new version of the camera-space-manipulation method (CSM). The set nonlinear view parameters classic CSM is replaced with linear model. Simulations and experiments show similar precision error for two methods. However, approach simpler to implement faster.
We created a sensor-fusion suite for the acquisition of biometric information that can be used estimation human control strategy in variety everyday tasks. This work focuses on experimental validation integrated motion capture subsystem based raster images. Understanding strategies utilized activity requires measurement several variables grouped as kinematic, dynamic, and biological-feedback variables. Hence, there is strong need acquisition, analysis, synchronization measured by...
Abstract Viruses employ a variety of strategies to hijack cellular activities through the orchestrated recruitment macromolecules specific virus-induced micro-environments. Adenoviruses (Ad) and other DNA viruses induce extensive reorganization cell nucleus formation nuclear Replication Compartments (RCs), where viral genome is replicated expressed. In this work an automatic algorithm designed for detection segmentation RCs using ellipses presented. Unlike algorithms available in literature,...
This paper presents a binocular eye-to-hand visual servoing system that is able to track and grasp moving object in real time. Linear predictors are employed estimate the trajectory three dimensions capable of predicting future positions even if temporarily occluded. For its development we have used CRS T475 manipulator robot with six degrees freedom two fixed cameras stereo pair configuration. The has client‐server architecture composed main parts: vision control system. uses color...
The emergence of left–right (LR) asymmetry in vertebrates is a prime example highly conserved fundamental process developmental biology. Details how symmetry breaking established different organisms are, however, still not fully understood. In the zebrafish (Danio rerio), it known that cilia-mediated vortical flow exists within its LR organizer, so-called Kupffer’s vesicle (KV), and directly involved early determination. However, exhibits spatio-temporal complexity; moreover, conversion to...
Paper waste in the mockups design with regular, irregular, and amorphous patterns is a critical problem digital printing presses. reduction directly impacts production costs, generating business environmental benefits. This can be mapped to two-dimensional irregular bin-packing problem. In this paper, an iterated local search algorithm using novel neighborhood structure detect overlaps between shapes introduced. used solve paper problem, modeled as one 2D The experimental results show that...
Abstract Mean-Shift Super Resolution (MSSR) is a principle based on the Mean Shift theory that extends spatial resolution in fluorescence images, beyond diffraction limit. MSSR works low- and high-density fluorophore not limited by architecture of detector (EM-CCD, sCMOS, or photomultiplier-based laser scanning systems) applicable to single images as well temporal series. The theoretical limit resolution, optimized real-world imaging conditions analysis image series, has been measured be 40...
This paper presents a new hybrid control algorithm based on saturation functions and its real-time application to ground vehicle. The is developed from nonlinear continuous law the objective obtain optimal sampling period apply controller in real experiences. stability analysis was made discrete time. experimental platform composed of remote toy car vision system. system built using simple webcam diode laser. fast, accurate, inexpensive easy implement. Simulations experiments show robustness...
Using forward models as a basic cognitive tool, the cornerstone of research presented in this paper is importance prediction and action part perceptual process system. An artificial agent equipped with model let to interact its environment order learn undesired situations. The are implemented an neural network trained data coming form simulated agent. tested then on-line on solve obstacle avoiding task while seeking light source. system learns successfully predict multimodal sensory...
Abstract Summary FCSlib is an open-source R tool for fluorescence fluctuation spectroscopy data analysis. It encompasses techniques such as Fluorescence Correlation Spectroscopy, Number and Brightness, Pair Function of Molecular Brightness. Availability implementation Source code available at https://cran.r-project.org/web/packages/FCSlib/ Linux, Windows macOS platforms. Sample well a user's guide are https://github.com/FCSlib/FCSlib. Supplementary information Bioinformatics online.
Abstract Mean-Shift Super Resolution (MSSR) is a principle based on the Mean Shift theory that improves spatial resolution in fluorescence images beyond diffraction limit. MSSR works low- and high-density fluorophore images, not limited by architecture of detector (EM-CCD, sCMOS, or photomultiplier-based laser scanning systems) applicable to single as well temporal series. The theoretical limit resolution, optimized real-world imaging conditions analysis image series, has been measured be 40...
Abstract Rotavirus genome replication and assembly take place in cytoplasmic electron dense inclusions termed viro-plasms (VPs). Previous conventional optical microscopy studies observing the intracellular distribution of rotavirus proteins their organization VPs have lacked molecular-scale spatial resolution, due to inherent resolution constraints. In this work we employed super-resolution reveal nanometric-scale formed during infection, quantitatively describe structural seven viral dsRNA...
The goal of rank fusion in information retrieval (IR) is to deliver a single output list from multiple search results. Improving performance by combining the outputs various IR systems challenging task. A central point fact that many non-obvious factors are involved estimation relevance, inducing nonlinear interrelations between data. ability model complex dependency relationships random variables has become increasingly popular realm retrieval, and need further explore these dependencies...