In-vivo imaging provides a unique opportunity to examine complex cellular activity in live tissue. Images produced by these experiments are difficult to analyze manually, typically applied to mono-layer cell culture assays (i.e. cells in a dish). Recent advances in deep learning enable the opportunity to analyze these in-vivo tissue images with greater efficiency and accuracy. […]

Idiopathic pulmonary (lung) fibrosis (IPF) affects 5 million people with a mean survival time of 2-3 years after diagnosis. In lung fibrosis, connective tissue fibroblasts excessively produce and stiffen collagen matrix. The resulting scar destroys the delicate lung architecture, decreases lung compliance and gas exchange, ultimately rendering patients unable to breathe. The only effective treatment […]

The aim is to understand how fibroblasts, the most common connective tissue in animals, and cancer cells interact with each other through image analysis. These co-culture imaging screens, containing fibroblasts and cancer cells, will help identify novel signaling mechanism involved in cancer. The objective is to apply deep learning techniques to these image-based assays to […]