A5039240591- Digital Imaging for Blood Diseases
- Cell Image Analysis Techniques
- Image Processing Techniques and Applications
- Advanced Fluorescence Microscopy Techniques
- Advanced Electron Microscopy Techniques and Applications
- Cellular transport and secretion
- Nuclear Structure and Function
- Retinal Development and Disorders
Simon Fraser University
2022-2025
University of British Columbia
2022
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...
Drug repurposing can accelerate the identification of effective compounds for clinical use against SARS-CoV-2, with advantage pre-existing safety data and an established supply chain. RNA viruses such as SARS-CoV-2 manipulate cellular pathways induce reorganization subcellular structures to support their life cycle. These morphological changes be quantified using bioimaging techniques. In this work, we developed DEEMD: a computational pipeline deep neural network models within multiple...
ABSTRACT SuperResNET is an integrated machine learning-based analysis software for visualizing and quantifying 3D point cloud data acquired by single molecule localization microscopy (SMLM). The computational modules of include correction multiple blinking a fluorophore, denoising, segmentation (clustering), feature extraction, which are then used cluster group identification, modularity analysis, blob retrieval visualization in 2D 3D. Using publicly available dSTORM data, we apply graphical...
Drug repurposing can accelerate the identification of effective compounds for clinical use against SARS-CoV-2, with advantage pre-existing safety data and an established supply chain. RNA viruses such as SARS-CoV-2 manipulate cellular pathways induce reorganization subcellular structures to support their life cycle. These morphological changes be quantified using bioimaging techniques. In this work, we developed DEEMD: a computational pipeline deep neural network models within multiple...
Drug repurposing can accelerate the identification of effective compounds for clinical use against SARS-CoV-2, with advantage pre-existing safety data and an established supply chain. RNA viruses such as SARS-CoV-2 manipulate cellular pathways induce reorganization subcellular structures to support their life cycle. These morphological changes be quantified using bioimaging techniques. In this work, we developed DEEMD: a computational pipeline deep neural network models within multiple...
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...
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...
Drug repurposing can accelerate the identification of effective compounds for clinical use against SARS-CoV-2, with advantage pre-existing safety data and an established supply chain. RNA viruses such as SARS-CoV-2 manipulate cellular pathways induce reorganization subcellular structures to support their life cycle. These morphological changes be quantified using bioimaging techniques. In this work, we developed DEEMD: a computational pipeline deep neural network models within multiple...