Mohammad Al Sa’d

Serval is a modular framework for decoding spatial transcriptomics data that introduces Cosine, a method improving transcript recovery and correlation with expression references.

This paper introduces a segmentation software wrapper that combines multiple existing methods to produce an optimized mask for cell segmentation.

ExSeq enables multiplexed RNA mapping at nanoscale resolution by expanding biological specimens for in situ sequencing.