NIH R01 · 2025
Scalable software engineering and methods for large-scale subcellular spatial omics
Project Summary / Abstract Emerging spatial subcellular transcriptomics technologies represent a major advancement in biological research, offering to study the relationship of gene expression and tissue architecture at unprecedented resolution and scale. These technologies promise to transform fields across the biomedical research by providing detailed insights into cellular behavior and tissue architecture in health and disease. However, despite their transformative potential, the ability to fully leverage these new technologies is currently limited by several critical barriers. First, no scalable computational tools exist that facilitate an interactive and efficient analysis of the…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.