This page lists fully automatic computer vision projects by Daniel Snider at the SickKids Research Institute in Toronto, Canada.
The green area is the glomerular basement membrane and each colored contour line is a podocyte foot process.
Project homepage: https://github.com/danielsnider/TEM-glomerular-basement-segmentation
Project homepage: https://github.com/danielsnider/peroxi_mito_analysis
Project homepage: https://github.com/danielsnider/Cell-3D-Image-Analysis
Project homepage: https://github.com/danielsnider/E-cadherin-Cell-Size
Project homepage: https://github.com/danielsnider/Cell-Tracking
Project homepage: https://github.com/danielsnider/Growth-of-Intestinal-Organoids
Investigating the trends seen in the localization of protein signal inside single cells. Hundreds of thousands of cells were segmented and we can choose to observe any sub-population.
Project homepage: https://github.com/danielsnider/Outlier-Analysis
Anzi, Shira et al. (2018). Postnatal Exocrine Pancreas Growth by Cellular Hypertrophy Correlates with a Shorter Lifespan in Mammals. Developmental Cell, Volume 45, Issue 6, 726-737
Daniel contributed figures, statistics, and image analysis to the surprising discovery that acinar cell size is strongly correlated with animal life span.
Journal Article: https://www.cell.com/developmental-cell/abstract/S1534-5807(18)30417-9
Full source code: https://github.com/danielsnider/E-cadherin-Cell-Size
A GUI for nontechnical users to perform cell segmentation, measuring, tracking, and plotting of high-content screens.
Project homepage: https://github.com/danielsnider/Single_Cell_Analysis_Toolkit