VisiumHD: From 16 µm to 2 µm resolution — sainsc 0.2.2.dev5+g0c33c57 documentation

Have you performed a #VisiumHD run, and frustrated that you had to analyse data in 8/16 um bins?
We just updated #Sainsc to create maps of cell types at 2 um resolution for #VisiumHD: sainsc.readthedocs.io/tutorials/tu....
Check it out and let us know - happy to add features/fixes.

#Sainsc is a cell-segmentation-free tool to create cell-type maps.
Why segmentation-free? Cell segmentation is hard, and if not done well it can ruin expression profiles, even miss cells.
Sainsc is fast! Get first insights in <5 min for #Xenium, #MERSCOPE, and <1 hr for #STomics, #Stereo-seq.

Sainsc: A Computational Tool for Segmentation‐Free Analysis of In Situ Capture Data Spatially resolved transcriptomics methods can now profile the entire transcriptome, at full organism scale with nanometre resolution. Analysis frameworks that can efficiently and intuitively process....

Check out our new tools for #SpatialTranscriptomics. It's called Sainsc: onlinelibrary.wiley.com/doi/10.1002/....
#Sainsc can map cell types in high resolution spatial transcriptomics data, without segmenting cells! It's light weight, fast, and easy to use: sainsc.readthedocs.io/tutorials/in...