danielsnider / cell-bio Goto Github PK

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