Cella : 3D data visualization for plant single‐cell transcriptomics in Blender Ghent University Flanders Institute for Biotechnology
Aims: Recent advancements in single-cell transcriptomics have facilitated the possibility of acquiring vast amounts of data at single-cell resolution. This development has provided a broader and more comprehensive understanding of complex biological processes. The growing datasets require a visualization tool that transforms complex data into an intuitive representation. To address this challenge, we have utilized an open-source 3D software ...