BenKingston
Benjamin R Kingston has a PhD in Biomedical Engineering and is at the University of Toronto using optical microscopy to understand drug delivery and cancer
University of Toronto
Pinned Repositories
3D_met_NP_analysis
Image processing scripts written to analyze physiology and nanoparticle delivery to micro metastases. Published by Kingston et al. in "Evaluating micrometastases as a target for nanoparticles using 3D microscopy and machine learning” . 2019.
CLARITY-to-REALITY
Image processing scripts written to convert 3D images of blood vessels into .stl files, a 3D-printable format. Published by Kingston et al. in "Transcribing three-dimensional images of vasculature into a perfusable microfluidic device”. 2019.
Histology_Liver_NP_Int_WP
Analysis of liver histology images are used to segment CD209 positive areas (intravascular), and CD209 negative areas (extravascular). These areas are then overlayed with the nanoparticle intensity images to calculate the mean nanoparticle intensity in each area. Data for this project is published by Poon et al in "Elimination Pathways of Nanoparticles" 2019. ACS Nano.
Islet_analysis_Vlahos
Analysis of blood vessels and cells from 3D fluorescent microscopy images from Vlahos et al. (2019).
nanoparticle_vessel_analysis
MATLAB code for Ouyang et al. (2020) - A dose threshold to enhance nanoparticle tumour delivery. Quantification of nanoparticle concentration as a function of distance from blood vessels from 3D light-sheet microscopy images.
NTEC_Vessel_Analysis
Specific endothelial cells govern nanoparticle entry into solid tumours (Kingston et al., 2021)
BenKingston's Repositories
BenKingston/3D_met_NP_analysis
Image processing scripts written to analyze physiology and nanoparticle delivery to micro metastases. Published by Kingston et al. in "Evaluating micrometastases as a target for nanoparticles using 3D microscopy and machine learning” . 2019.
BenKingston/Histology_Liver_NP_Int_WP
Analysis of liver histology images are used to segment CD209 positive areas (intravascular), and CD209 negative areas (extravascular). These areas are then overlayed with the nanoparticle intensity images to calculate the mean nanoparticle intensity in each area. Data for this project is published by Poon et al in "Elimination Pathways of Nanoparticles" 2019. ACS Nano.
BenKingston/nanoparticle_vessel_analysis
MATLAB code for Ouyang et al. (2020) - A dose threshold to enhance nanoparticle tumour delivery. Quantification of nanoparticle concentration as a function of distance from blood vessels from 3D light-sheet microscopy images.
BenKingston/CLARITY-to-REALITY
Image processing scripts written to convert 3D images of blood vessels into .stl files, a 3D-printable format. Published by Kingston et al. in "Transcribing three-dimensional images of vasculature into a perfusable microfluidic device”. 2019.
BenKingston/Islet_analysis_Vlahos
Analysis of blood vessels and cells from 3D fluorescent microscopy images from Vlahos et al. (2019).
BenKingston/NTEC_Vessel_Analysis
Specific endothelial cells govern nanoparticle entry into solid tumours (Kingston et al., 2021)