A novel Slide-seq based image processing software to identify gene expression at the single cell level

• Auteurs principaux: Th.I. Götz (Auteur), X. Cong (Auteur), S. Rauber (Auteur), M. Angeli (Auteur), E.W. Lang (Auteur), A. Ramming (Auteur), C. Schmidkonz (Auteur)
• Format: Livre
• Publié: Elsevier, 2024-12-01T00:00:00Z.
• Sujets: article
• Accès en ligne: Connect to this object online.

Analysis of gene expression at the single-cell level could help predict the effectiveness of therapies in the field of chronic inflammatory diseases such as arthritis. Here, we demonstrate an adopted approach for processing images from the Slide-seq method. Using a puck, which consists of about 50,0...