Very happy to finally present our work!
โ๐๐ต๐ข๐ฏ๐ฅ๐ข๐ณ๐ฅ๐ช๐ป๐ฆ๐ฅ ๐ฎ๐ฆ๐ต๐ณ๐ช๐ค๐ด ๐ง๐ฐ๐ณ ๐ข๐ด๐ด๐ฆ๐ด๐ด๐ฎ๐ฆ๐ฏ๐ต ๐ข๐ฏ๐ฅ ๐ณ๐ฆ๐ฑ๐ณ๐ฐ๐ฅ๐ถ๐ค๐ช๐ฃ๐ช๐ญ๐ช๐ต๐บ ๐ฐ๐ง ๐ช๐ฎ๐ข๐จ๐ช๐ฏ๐จ-๐ฃ๐ข๐ด๐ฆ๐ฅ ๐ด๐ฑ๐ข๐ต๐ช๐ข๐ญ ๐ต๐ณ๐ข๐ฏ๐ด๐ค๐ณ๐ช๐ฑ๐ต๐ฐ๐ฎ๐ช๐ค๐ด ๐ฅ๐ข๐ต๐ข๐ด๐ฆ๐ต๐ดโ
Spatial transcriptomics promises deep insight into tissue architecture - but inconsistent data quality across labs and platforms has been a major barrier. A new study from a global consortium addresses this by releasing the Spatial Touchstone (ST): a harmonized, multi-site, multi-platform dataset using six tissue types and two widely imaging used technologies.
We introduce SpatialQM, an open-source quality-control software, and a public repository, Spatial Touchstone Portal (STP), that hosts ~33M cells and ~7B transcripts.
With standardized metrics for sensitivity, reproducibility, signal-to-noise, false discovery rates, and cell-type annotation, this framework gives labs a way to benchmark and compare spatial transcriptomics data reliably.
This effort sets a foundation for more robust, reproducible spatial-omics research โ and helps unlock cross-study comparability across institutions and platforms.
Iโm incredibly thankful to my amazing collaborators across the globe and an special shout out to my dear friends
@DrJasPlummer and
@mason_lab and their super amazing teams for literally working they brains out to make this happen.
Felipe, Jiwoon , David, Luke, Maycon, Yutian, Arjumand, Hannah, Kellie, Alex, Lisa, Alicia, Roberto and many more!
@WeillCornell
@StJudeResearch
nature.com/articles/s41587-0โฆ