Machine learning (ML) refers to a set of automatic pattern recognition methods that have
been successfully applied across various problem domains, including biomedical image …

Accurate and reproducible quantification of the accumulation of proteins into foci in cells is
essential for data interpretation and for biological inferences. To improve reproducibility …

Cell culture is undeniably important for multiple scientific applications, including
pharmaceuticals, transplants, and cosmetics. However, cell culture involves multiple manual …

Cell behaviors are reflections of intracellular tension dynamics and play important roles in
many cellular processes. In this study, temporal variations in cell geometry and cell motion …

Understanding the functions of multi‐cellular organs in terms of the molecular networks
within each cell is an important step in the quest to predict phenotype from genotype. B …

Automated cell segmentation and tracking can significantly increase the productivity of
research in biology. In order to tune a tracking system for a particular video, researchers …

Heart failure due to damaged heart muscle is amongst the most common cause of death
worldwide. Adult stem cells hold promise for their potential to repair damaged heart muscle …

One of the most intriguing and fundamental questions in developmental biology is in the
domain of understanding of cell fate, molecular mechanisms, regulatory factors, signaling …

Our immune system has the capacity to distinguish between self and non-self to protect us
from infection and disease. T cell receptors (TCRs) recognise foreign antigens presenting …

This dissertation reports on the development of the mathematical and statistical framework
that was necessary for the analysis of data from a novel single-cell assay designed to …