Smart spatial omics: leveraging high-resolution histology images for cost-effective spatial omics experimental design

Mingyao Li Speaker
University of Pennsylvania, Perelman School of Medical
 
Tuesday, Aug 5: 11:00 AM - 11:25 AM
Invited Paper Session 
Music City Center 
Spatial omics technologies have revolutionized biomedical research by providing detailed, spatially resolved molecular profiles that enhance our understanding of tissue structure and function at unprecedented levels. However, the widespread application of spatial omics is hindered by its high costs. In contrast, generating hematoxylin and eosin stained histology images is significantly more cost-effective. Previous studies have shown correlations between spatial molecular patterns and histology image features, suggesting that histology images can be leveraged to design cost-effective spatial omics experiments. In this talk, I will present our recent work on utilizing histology images to select regions of interest for spatial omics experiments and how the resulting data can be trained to virtually construct spatial molecular profiles for entire tissue sections. We demonstrate that our histology image-guided design can substantially reduce experimental costs while retaining the desired spatial molecular variations.

Keywords

experimental design

spatial omics

AI