For many decades, experimental solid mechanics has played a crucial role in characterizing
and understanding the mechanical properties of natural and novel artificial materials …

Cell states were traditionally defined by how they looked, where they were located, and what
functions they performed. In this post-genomic era, the field is largely focused on a …

Understanding how a subset of expressed genes dictates cellular phenotype is a
considerable challenge owing to the large numbers of molecules involved, their …

Spatial transcriptomics is a rapidly growing field that promises to comprehensively
characterize tissue organization and architecture at the single-cell or subcellular resolution …

Understanding the complexity of cellular function within a tissue necessitates the
combination of multiple phenotypic readouts. Here, we developed a method that links …

Explaining the diversity and complexity of protein localization is essential to fully understand
cellular architecture. Here we present cytoself, a deep-learning approach for fully self …

Paired map** of single-cell gene expression and electrophysiology is essential to
understand gene-to-function relationships in electrogenic tissues. Here, we developed in …

We performed a comprehensive analysis of the transcriptional changes occurring during
human induced pluripotent stem cell (hiPSC) differentiation to cardiomyocytes. Using single …

Propelled by the striking advances in optical microscopy and deep learning (DL), the role of
imaging in lab-on-a-chip has dramatically been transformed from a silo inspection tool to a …

The immaturity of pluripotent stem cell (PSC)-derived tissues has emerged as a universal
problem for their biomedical applications. While efforts have been made to generate adult …