Spatial transcriptomics - helping authors wow reviewers with pretty pictures (... and interesting spatial biology).. and making it possible for bioinformaticians to submit journal cover art! Our Sainsc tool is featured as the back cover for Small Methods: onlinelibrary.wiley.com/doi/10.1002/...

Did you ever notice discrepancies in benchmarking of bioinformatics tools? We did too! Setting out to benchmark spatial clustering methods, we encountered major reproducibility issues in previous benchmarks and questionable "ground truths". More in our preprint: www.biorxiv.org/content/10.1...

Accurate cell segmentation remains a major issue for spatial transcriptomics. Elyas Heidari and colleagues from the Gerstung, Pe'er and Stegle Labs released Segger, a new algorithm that uses GNN to model both transcripts and cells. More details in their preprint: www.biorxiv.org/content/10.1...

🧬If you work with @10xgenomics.bsky.social Xenium, this might be of your interest. Our new study on Xenium exploration best practice and comparing it with other commercial platforms is now out in @naturemethods.bsky.social www.nature.com/articles/s41...

Have you been bothered that practically every #SpatialTranscriptomic analysis tool assumes data to be 2D? Well, you were right - overlapping cells are a really big problem. Check out our report on bioRxiv: 2D, or not 2D? Investigating Vertical Signal Integrity of Tissue Slices. t.ly/CQX8K

SpatialLeiden is out in #GenomeBiology: t.ly/WQppF. It models both gene expression and spatial information for clustering. This allows you to perform e.g. spatially aware cell typing or domain identification. It's fast, scalable and intuitive for single-cell researchers. Try it out!

Do you also think that #SpatialTranstriptomics and #AI will give rise to #DigitalPathology 2.0? We have an open PhD position for the HISTOMAP (Histology-based Molecular Analysis Platform) project to accelerate biomarker detection. Please apply here: www.bihealth.org/en/notices/b.... Spread the word!

I tried Sainsc for our MERSCOPE data and Naveed, it works wonderfully! Importantly, the documentation is excellent. Thank you so much for the clear tutorial and explanations. This is truly a life saver for my analysis at the moment. Props to the team, this is awesome work!

Everyone knows by now that 42 is the answer to the ultimate question of life, the universe, and everything. But as I turn 42 today, I’ve realised something profound: it’s not the answer that matters - it’s the prompt!

Hello world. Our lab has a new home here on Bluesky! We will post about spatial omics, science, nice papers and lab activities. The account will be collectively managed by lab members. Happy spatial-omics everyone!

The calm before the storm... #SpaceHack starts tomorrow! Looking forward to 3 intense days of addressing unsolved data analysis problems for #SpatialTranscriptomics. More here: spatialhackathon.github.io

Try out SpatialLeiden for identifying spatial domains/clusters in your #SpatialTranscriptomics data: www.biorxiv.org/content/10.1... github.com/HiDiHlabs/sp... It's as easy as Leiden, but as performant as the best in class. Give it a try and let us know if it works for you!

@gestaltsp.bsky.social welcome to BlueSky! @jasmineplummer.bsky.social @ioavlachos.bsky.social

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...

Whole-brain spatial transcriptional analysis at cellular resolution Incredible study - 3D single cell imaging of the entire mouse brain - also on the cover of this week's #Science 🧪🔬🤯 www.science.org/doi/10.1126/...