Top-down proteomics: Intact proteins are ionized and analyzed directly, allowing for the study of proteoforms and ...

Spatial transcriptomics technologies opened the door for new kinds of biological measurements, allowing scientists to ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

The field of spatial transcriptomics utilizes technologies that map gene ... HD Spatial Gene Expression™, which “provides whole-transcriptome insights at single-cell scale resolution”. Over the last ...

Up to now, researchers conducting spatial transcriptomics have had to choose between two options based on their needs: genome-wide coverage or single-cell resolution. To solve this tradeoff ...

These techniques have varied coverage depth and throughput. 3 Before the advent of spatial transcriptomics, single-cell RNA sequencing methods largely required that scientists break tissue apart into ...

In this webinar, Dr. Luciane Kagohara from Johns Hopkins Medicine will discuss a novel artificial intelligence method integrating imaging, spatial transcriptomics and single-cell RNA-seq data that has ...

Up to now, researchers conducting spatial transcriptomics have had to choose between two options based on their needs: genome-wide coverage or single-cell resolution. To solve this tradeoff ...