GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow
PositiveArtificial Intelligence
The recent development of GeneFlow marks a significant advancement in the field of biomolecular discovery by effectively translating single-cell gene expression data into high-resolution histopathological images. This innovative framework utilizes spatial transcriptomics to align transcriptomes with cellular morphology, opening up exciting possibilities for researchers to explore cellular functions and disease mechanisms more accurately. The combination of an attention-based RNA encoder and a conditional UNet guided by rectified flow enhances image quality and staining methods, making it a valuable tool for scientists in the quest for deeper biological insights.
— Curated by the World Pulse Now AI Editorial System
