BioPharmaTrend
Latest News
All Topics
  • AI in Bio
  • Tech Giants
  • Next-Gen Tools
  • Biotech Ventures
  • Industry Movers
  • Interviews
  • Business Intelligence
  • Case Studies
Intelligence
  • Business Intelligence
  • Case Studies
  • Lab
  • Membership
About
  • At a Glance
  • Our Team
  • Advisory Board
  • Citations and Press Coverage
  • Partner Events Calendar
  • Advertise with Us
  • Write for Us
Newsletter
Login/Join
  • AI in Bio
  • Tech Giants
  • Next-Gen Tools
  • Biotech Ventures
  • Industry Movers

  Latest News

LatchBio Publishes 25-Million-Cell Open-Source Spatial Transcriptomics Atlas

by Illia Terpylo   •   Sept. 5, 2025  

Disclaimer: All opinions expressed by Contributors are their own and do not represent those of their employers, or BiopharmaTrend.com.
Contributors are fully responsible for assuring they own any required copyright for any content they submit to BiopharmaTrend.com. This website and its owners shall not be liable for neither information and content submitted for publication by Contributors, nor its accuracy.

Share:   Share in LinkedIn  Share in Bluesky  Share in Reddit  Share in Hacker News  Share in X  Share in Facebook  Send by email

LatchBio has released a human spatial transcriptomics atlas of 25 million cells. Covering 45 tissue types, 63 diseases, and data from 11 major platforms (10X Genomics, Bruker CosMx, STOmics Stereo-seq, Vizgen MERSCOPE, Takara Bio Seeker, AtlasXOmics DBiT-seq, Spatial Genomics seqFISH, Element Biosciences AVITI24, and Singular Genomics G4X), the atlas is available via public data portal as annotated H5AD files. The developers generated datasets using “latch-curate”, a human-in-the-loop curation system that improves annotation quality by incorporating structured and unstructured study data.

#advertisement
AI in Drug Discovery Report 2025

See also: Building the Virtual Cell: AI Foundation Models and Billion-Cell Datasets

In parallel with atlas, LatchBio introduced a spatial toolkit for downstream analysis. Researchers can move from raw data through counts construction, image alignment, QC, differential expression, cell type annotation, and ligand-receptor analysis. 

Partnerships with Takara Bio and AtlasXOmics provide streamlined pipelines, while visualization with Latch Plots supports interactive exploration of morphology and staining images. Advanced methods like cell2location and Squidpy are integrated, with region-of-interest tools for focused spatial interaction analysis.

Ligand receptor pairs summary applying Squidpy

LatchBio, launched in 2021, targets providing the code-free data infrastructure for Biopharma R&D. The team, led by three former UC Berkeley students Alfredo Andere, Kyle Giffin and Kenny Workman, states the release of their cell atlas addresses lack of spatial organization, calling it the core bottleneck of previous single-cell focused large-scale initiatives.

Access the Dataset: https://console.latch.bio/data-portal

Share:   Share in LinkedIn  Share in Bluesky  Share in Reddit  Share in Hacker News  Share in X  Share in Facebook  Send by email

BiopharmaTrend.com

Where Tech Meets Bio
mail  Newsletter
in  LinkedIn
x  X
rss  RSS Feed

About


  • What we do
  • Citations and Press Coverage
  • Terms of Use
  • Privacy Policy
  • Disclaimer

We Offer


  • Newsletter
  • Business Intelligence
  • Interviews
  • Partner Events
  • Case Studies

Opportunities


  • Advertise
  • Lab Access
  • Lab Membership
  • Write for Us
  • Contact Us

© BPT Analytics LTD 2025
We use cookies to personalise content and to analyse our traffic. You consent to our cookies if you continue to use our website. Read more details in our cookies policy.