Armando Arroyo-Mejías
A5049529488- Single-cell and spatial transcriptomics
- Cell Image Analysis Techniques
- Advanced Biosensing Techniques and Applications
- Immunotherapy and Immune Responses
- Gene expression and cancer classification
- Advanced Fluorescence Microscopy Techniques
- Scheduling and Optimization Algorithms
- Industrial Vision Systems and Defect Detection
- AI in cancer detection
- Inhalation and Respiratory Drug Delivery
- Radiomics and Machine Learning in Medical Imaging
- Monoclonal and Polyclonal Antibodies Research
- Genetics, Bioinformatics, and Biomedical Research
- Erythrocyte Function and Pathophysiology
- Cancer Immunotherapy and Biomarkers
- 3D Printing in Biomedical Research
National Institute of Allergy and Infectious Diseases
2025
National Institutes of Health
2023-2025
Immune Regulation (United Kingdom)
2025
The iterative bleaching extends multiplexity (IBEX) Knowledge-Base is a central portal for researchers adopting IBEX and related 2D 3D immunofluorescence imaging methods. design of the modeled after efforts in open-source software community includes three facets: development platform (GitHub), static website, service data archiving. facilitates practice open science throughout research life cycle by providing validation recommended non-recommended reagents, e.g., primary secondary...
Spatial patterns of cells and other biological elements drive physiologic pathologic processes within tissues. While many imaging transcriptomic methods document tissue organization, discerning these is challenging, especially when they involve multiple in complex arrangements. To address this challenge, we present Patterning Analysis Cellular Ensembles (SPACE), an R package for analysis high-plex spatial data. SPACE compatible with any data collection modality that records values (i.e.,...
Multiplexed imaging is a powerful approach in spatial biology, although it complex, expensive and labor-intensive. Here, we present the IBEX Knowledge-Base, central resource for reagents, protocols more, to enhance knowledge sharing, optimization innovation of proteomics techniques.
The iterative bleaching extends multiplexity (IBEX) Knowledge-Base is a central portal for researchers adopting IBEX and related 2D 3D immunofluorescence imaging methods. design of the modeled after efforts in open-source software community includes three facets: development platform (GitHub), static website, service data archiving. facilitates practice open science throughout research life cycle by providing validation recommended non-recommended reagents, e.g., primary secondary...
Abstract The airway mucosa is a primary site of the immune response to inhaled antigens. However, how homeostasis maintained in this organ during continuous exposure airborne particles and microbial antigens not known. Previous studies have shown that spatial organization components relationship each other non-hematopoietic tissues critical their proper function. To interrogate such relationships lung, 3D information required. current methods for fluorescence imaging do provide marker depth...
Abstract 2D multiplexed antibody-based imaging provides a framework to study cell-cell interactions in thin tissue sections but lacks the ability interrogate spatial relationships larger 3D anatomical structures. Several methods for of optically cleared exist, current approaches do not provide marker depth afforded by high content imaging. To overcome this constraint, we combined fast hydrophilic clearing technique, clearing-enhanced (Ce3D), with recently developed Iterative Bleaching...
Abstract The airway mucosa is a primary site of the immune response to inhaled antigens. However, how homeostasis maintained in this organ during continuous exposure airborne particles and microbial antigens not known. Previous studies have shown that spatial organization components relationship each other non-hematopoietic tissues critical their proper function, as communication with commensal microbes. To interrogate such relationships lung, especially possible connections between cells...
Abstract Spatial patterns of cells and other biological elements drive both physiologic pathologic processes within tissues. While many imaging transcriptomic methods document tissue organization, discerning these is challenging, especially when they involve multiple in complex arrangements. To address this challenge, we present Patterning Analysis Cellular Ensembles (SPACE), an R package for analysis high-plex spatial data. SPACE compatible with any data collection modality that records...