A5001876415- Advanced Fluorescence Microscopy Techniques
- Infection Control in Healthcare
- Advanced Electron Microscopy Techniques and Applications
- Cellular transport and secretion
- Surgical site infection prevention
- Infection Control and Ventilation
- Retinal Development and Disorders
- Microscopic Colitis
- Bacterial Identification and Susceptibility Testing
- Topic Modeling
- Streptococcal Infections and Treatments
- Sinusitis and nasal conditions
- COVID-19 and healthcare impacts
- Dental Research and COVID-19
- Antimicrobial Resistance in Staphylococcus
- Nasal Surgery and Airway Studies
- Nuclear Structure and Function
- Antibiotic Use and Resistance
- Protein Structure and Dynamics
- Medical Device Sterilization and Disinfection
- Natural Language Processing Techniques
- Bioinformatics and Genomic Networks
- Nosocomial Infections in ICU
- Cell Image Analysis Techniques
- Sepsis Diagnosis and Treatment
University of British Columbia
2013-2025
Vancouver Coastal Health
2019-2022
Vancouver General Hospital
2015-2021
Here, we apply SuperResNET network analysis of dSTORM single-molecule localization microscopy (SMLM) to determine how the clathrin endocytosis inhibitors pitstop 2, dynasore and Latrunculin A alter morphology clathrin-coated pits. HeLa Cos7 cells identifies: small oligomers (Class I); pits vesicles II); larger clusters corresponding fused or plaques III). Pitstop 2 induce distinct homogeneous populations Class II structures in suggesting that they arrest at different stages. Inhibition is...
Super-resolution microscopy, or nanoscopy, enables the use of fluorescent-based molecular localization tools to study structure at nanoscale level in intact cell, bridging mesoscale gap classical structural biology methodologies. Analysis super-resolution data by artificial intelligence (AI), such as machine learning, offers tremendous potential for discovery new biology, that, definition, is not known and lacks ground truth. Herein, we describe application weakly supervised paradigms...
SUMMARY Community-onset methicillin resistant Staphylococcus aureus (CO-MRSA) became a prominent cause of infection in North America 2003, with peak the epidemic noted by multiple groups USA between 2005 and 2007. We reviewed rates MRSA two hospitals Vancouver, Canada, to observe changes epidemiology from 2003 2011. Episodes emergency department (ED) bacteraemia wounds were extracted laboratory database, calculated per 10 000 ED visits. All cases assumed be community onset, as they diagnosed...
Abstract Specificity of small molecules for their target molecule in the cell is critical to determine effective use as biologics and therapeutics. Small inhibitors clathrin endocytosis, Pitstop 2, dynamin inhibitor Dynasore, have off-target effects specificity has been challenged. Here, we used SuperResNET apply network analysis 20 nm resolution dSTORM single-molecule localization microscopy (SMLM) test whether 2 Dynasore alter morphology coated pits intact cells. data from HeLa Cos7 cells...
Recent advances in large language models (LLMs) have shown significant promise, yet their evaluation raises concerns, particularly regarding data contamination due to the lack of access proprietary training data. To address this issue, we present C$^2$LEVA, a comprehensive bilingual benchmark featuring systematic prevention. C$^2$LEVA firstly offers holistic encompassing 22 tasks, each targeting specific application or ability LLMs, and secondly trustworthy assessment our contamination-free...
SuperResNET is an integrated machine learning‐based analysis software for visualizing and quantifying 3D point cloud data acquired by single‐molecule localization microscopy (SMLM). computational modules include correction multiple blinking of single fluorophores, denoising, segmentation (clustering), feature extraction used cluster group identification, modularity analysis, blob retrieval, visualization in 2D 3D. Here, a graphical user interface version was applied to publicly available...