Single-cell transcriptomics has broadened our understanding of cellular diversity and gene
expression dynamics in healthy and diseased tissues. Recently, spatial transcriptomics has …

Light sheet fluorescence microscopy (LSFM) uses a thin sheet of light to excite only
fluorophores within the focal volume. Light sheet microscopes (LSMs) have a true optical …

A growing appreciation of the importance of cellular metabolism and revelations concerning
the extent of cell–cell heterogeneity demand metabolic characterization of individual cells …

Pathogenic variants in genes that cause dilated cardiomyopathy (DCM) and arrhythmogenic
cardiomyopathy (ACM) convey high risks for the development of heart failure through …

Antitumoral immunity requires organized, spatially nuanced interactions between
components of the immune tumor microenvironment (iTME). Understanding this coordinated …

The histological analysis of tissue samples, widely used for disease diagnosis, involves
lengthy and laborious tissue preparation. Here, we show that a convolutional neural network …

The active electrical properties of dendrites shape neuronal input and output and are
fundamental to brain function. However, our knowledge of active dendrites has been almost …

A highly multiplexed cytometric imaging approach, termed co-detection by indexing
(CODEX), is used here to create multiplexed datasets of normal and lupus (MRL/lpr) murine …

We present deep-learning-enabled super-resolution across different fluorescence
microscopy modalities. This data-driven approach does not require numerical modeling of …

INTRODUCTION There has been an explosion of interest in the role of cell death pathways
and damage-associated molecular pattern (DAMP) signaling in sha** inflammatory and …