Scaling Spatial Transcriptomics With Atlas

Scaling Spatial Transcriptomics With Atlas Information Guide

1. Introduction to Scaling Spatial Transcriptomics With Atlas
2. Key Details
3. History
4. Full Guide
5. Final Thoughts

Introduction to Scaling Spatial Transcriptomics With Atlas

This project presents a scalable, segmentation-free approach to analyzing Xenium- We built the cell atlases. We mapped the tissues. Now what? In this episode of Bruno's BioLogs, I explore how Jimmie Ye (UCSF) From Algorithms to Discovery in Genome- As the field of single-cell RNA sequencing continues to evolve, researchers are increasingly interested in using these datasets to ... In this on-demand webcast, Dr. Kai Kessenbrock discusses how Presented By: Kit Fuhrman, PhD Speaker Biography: As a Scientist for NanoString, Kit Fuhrman has applied his understanding of ...

With John Hickey (Stanford University) and David van Valen (California Institute of Technology) 24 Hour Human Reference

Key Details

History

Single Cell to Spatial

24 Hour Human Reference Atlas Event - Hour 7 - Naming Cells Using Gene Expressions

Exponentiating Single-Cell Sequencing

Training models on atlas-scale single-cell datasets

903-Spatial Atlas of Healthy Human Liver from Live Donors

Human Cell Atlas A Spatially Resolved Map of Human Breast Tissue

🎙️ This episode covers the first spatial transcriptomic atlas of Atlantic salmon skin.

Cancer Transcriptome Atlas with NGS Readout – The essential tool for spatial genomics in oncology

24 Hour Human Reference Atlas Event - Hour 8 - Segmenting Hierarchies of Cells

Full Guide

Data is compiled from public records and verified media reports.

Last Updated: June 12, 2026

Final Thoughts

Disclaimer: Disclaimer: Details estimates are based on publicly available data, media reports, and financial analysis. Actual numbers may vary.