As a result of several successful applications in computer vision and image processing,
sparse representation (SR) has attracted significant attention in multi-sensor image fusion …

The pathogenesis of severe COVID-19 reflects an inefficient immune reaction to SARS-CoV-
2. Here we analyze, at the single cell level, plasmablasts egressed into the blood to study …

Transcriptomics has revealed that cortical inhibitory neurons exhibit a great diversity of fine
molecular subtypes,,,,–, but it is not known whether these subtypes have correspondingly …

Understanding the function of a tissue requires knowing the spatial organization of its
constituent cell types. In the cerebral cortex, single-cell RNA sequencing (scRNA-seq) has …

Summary COVID-19-induced" acute respiratory distress syndrome"(ARDS) is associated
with prolonged respiratory failure and high mortality, but the mechanistic basis of lung injury …

Prolonged lung pathology has been associated with COVID-19, yet the cellular and
molecular mechanisms behind this chronic inflammatory disease are poorly understood. In …

We present a novel fusion method based on a multi-task robust sparse representation
(MRSR) model and spatial context information to address the fusion of multi-focus gray-level …

Pollen analysis is an important tool in many fields, including pollination ecology,
paleoclimatology, paleoecology, honey quality control, and even medicine and forensics …

Innate lymphoid cells (ILCs) emerge in the last few years as important regulators of immune
responses and biological processes. Although ILCs are mainly known as tissue-resident …

An effective multi-focus image fusion method is proposed to generate an all-in-focus image
with all objects in focus by merging multiple images. The proposed method first estimates …