When spatial datasets accumulate across experiments and technologies, managing, querying, and training models on them becomes a major challenge. To address this, we built support for scverse's SpatialData format into LaminDB, enabling cross-dataset queries, dataset validation, and lineage tracking.
LaminR 📦 has been officially announced! This is a project @rcannood.bsky.social and I have worked on to create an R client for @laminlabs.bsky.social. 📦 Repo github.com/laminlabs/la... Announcement blog blog.lamin.ai/intro-to-lam... DI blog www.data-intuitive.com/insights/blo...
GitHub - laminlabs/laminr: An R package for working with LaminDB instances.
An R package for working with LaminDB instances. Contribute to laminlabs/laminr development by creating an account on GitHub.
github.com
We partnered with @jejomath.bsky.social to help us explain the relation between biology’s sparse measurements and the data lakehouse concept.
Two years ago we partnered with Mark Keller from Nils Gehlenborg’s Lab at Harvard to make Vitessce work seamlessly with LaminDB for interactive visualization of multimodal + spatial datasets.
What should the shared memory layer for agents and humans look like? Will it live in embeddings or in records? A high-level note.
🚨Scaling multiplexed imaging 📈 We are excited to share Pathology-oriented multiPlexing (PathoPlex). Now out in @nature.com: www.nature.com/articles/s41... 🧵Walk-through thread below ⬇️