Spatial omics has emerged as a rapidly growing and fruitful field with hundreds of
publications presenting novel methods for obtaining spatially resolved information for any …

The growth of artificial intelligence (AI) has led to an increase in the adoption of computer
vision and deep learning (DL) techniques for the evaluation of microscopy images and …

Spatially resolved omics technologies are transforming our understanding of biological
tissues. However, the handling of uni-and multimodal spatial omics datasets remains a …

Light sheet microscopy is a powerful technique for high-speed three-dimensional imaging of
subcellular dynamics and large biological specimens. However, it often generates datasets …

We present the cryoET Data Por-tal (https://cryoetdataportal. czscience. com/), containing
annotated cryoET datasets in standardized formats, as a resource for the cryoET community …

Single-cell and spatial transcrip-tomics illuminate complementary features of tissues.
Computational integration can synergize these technologies to resolve cell types and …

As data sharing has become more prevalent, three pillars-archives, standards, and analysis
tools-have emerged as critical components in facilitating effective data sharing and …

Bioimaging has now entered the era of big data with faster-than-ever development of
complex microscopy technologies leading to increasingly complex datasets. This enormous …

Understanding complex living systems, which are fundamentally constrained by physical
phenomena, requires combining experimental data with theoretical physical and …

As biological imaging continues to rapidly advance, it results in increasingly complex image
data, necessitating a reevaluation of conventional bioimage analysis methods and their …