Recent developments in studies of tumor heterogeneity have provoked new thoughts on
cancer management. There is a desperate need to understand influence of the tumor …

The emergent field of digital pathology employing automated image analysis techniques is
to revolutionize traditional pathology at the center of clinical diagnostics. Histological images …

Molecular profiles of tumors and tumor-associated cells hold great promise as biomarkers of
clinical outcomes. However, existing data sets are fragmented and difficult to analyze …

Dynamic variations in mitochondrial shape have been related to function. However, tools to
automatically classify and enumerate mitochondrial shapes are lacking, as are systematic …

Crowdsourcing is an effective tool for scalable data annotation in both research and
enterprise contexts. Due to crowdsourcing's open participation model, quality assurance is …

If you are a biologist and want to get the best out of the powerful methods of modern
computational statistics, this is your book. You can visualize and analyze your own data …

This paper summarizes the recent advances in image processing methods for
morphological cell analysis. The topic of morphological analysis has received much …

Tumors are evolving ecosystems where cancer subclones and the microenvironment
interact. This is analogous to interaction dynamics between species in their natural habitats …

Abstract Background Dendritic cells (DCs) are important mediators of anti-tumor immune
responses. We hypothesized that an in-depth analysis of dendritic cells and their spatial …

Environmental enrichment (EE) has been consistently reported to enhance cognitive
function in mouse models of neuropathology. Microglia, implicated in Alzheimer's disease …