Cell morphology encodes essential information on many underlying biological processes. It
is commonly used by clinicians and researchers in the study, diagnosis, prognosis, and …

Beautiful images of animal cells cultured on surfaces are ubiquitous in biological research,
but these shapes also carry valuable information about the cells and the organism that they …

Perfluoroalkyl substances (PFAS) have been associated with cancer, but the potential
underlying mechanisms need to be further elucidated and include studies of PFAS mixtures …

A central goal of precision medicine is to predict disease outcomes and design treatments
based on multidimensional information from afflicted cells and tissues. Cell morphology is …

We propose a new deep learning approach for medical imaging that copes with the problem
of a small training set, the main bottleneck of deep learning, and apply it for classification of …

LINE-1 retrotransposon overexpression is a hallmark of human cancers. We identified a
colorectal cancer wherein a fast-growing tumor subclone downregulated LINE-1, prompting …

We present cytometric classification of live healthy and cancerous cells by using the spatial
morphological and textural information found in the label‐free quantitative phase images of …

Biomedical research has come to rely on p-values as a deterministic measure for data-
driven decision-making. In the largely extended null hypothesis significance testing for …

Background There is a critical need to better understand the mechanisms that drive local cell
invasion and metastasis to develop new therapeutics targeting metastatic disease …

Even genetically identical cells have heterogeneous properties because of stochasticity in
gene or protein expression. Single cell techniques that assay heterogeneous properties …