This Research Topic is the second volume of the “Unraveling Breast Cancer Complexity: Insights from Single-Cell Sequencing and Spatial Transcriptomics” ...

Contributed by Howard Y. Chang; received November 19, 2024; accepted February 20, 2025; reviewed by Jellert Gaublomme and David A. Quigley The spatial organization of cells within tissues plays a ...

Abstract: To fully utilize spatial information for segmentation and address the challenge of handling areas with significant grayscale variations in remote sensing segmentation, we propose the spatial ...

In this GEN Learning Lab, our expert panelists Linda Orzolek, MS, MB, Xuhuai Ji, MD, PhD, and Christina Chang, PhD, will discuss the current landscape of imaging- and next-generation sequencing-based ...

The origin of many diseases begins at the cellular level and involves multiple molecular interactions. However, previous methods have struggled to accurately observe changes in individual cells.

AGBT is also, increasingly, a showcase for instruments for spatial biology, a fast-growing field that involves pinpointing the location of RNA and protein molecules en masse. Tarbox calls the meeting ...

More than half of patients with ischemic stroke experience futile reperfusion, increasing the risk of death and disabilities despite a successful recanalization. The reason behind this is debated, and ...

Breast cancer remains one of the most prevalent and life-threatening forms of cancer, impacting millions worldwide. This malignancy's heterogeneity and complexity have long posed significant ...

In 2021, a technology developed at University of Michigan, called Seq-Scope, revolutionized the ability to map gene activity within intact tissue at microscopic resolution, enabling researchers to ...

Abstract: Hyperspectral image superresolution (HSI-SR) has become an essential step of data preprocessing for tasks such as classification and change detection in remote sensing. For HSI-SR tasks, the ...

Advancements in spatial perturbation transcriptomics (SPT) have revolutionized our understanding of cellular behavior in native tissue contexts by integrating spatial and perturbation data. However, ...