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[Spatial at Scale – Part 8] By 2030, “Spatial” May No Longer Be a Field of Its Own
A technology reaches true mass adoption not when everyone talks about it by name, but when people use it in everyday decision-making without consciously thinking about it.
[Spatial at Scale – Part 7] The Final Bottleneck Is Trust
The final product of spatial biology is not a map. It is a decision that others can reproduce and trust. If the same tissue is analyzed using two spatial transcriptomics platforms, will the results…
[Spatial at Scale – Part 6] No-Code Alone Will Not Democratize Analysis
Democratizing analysis does not mean hiding complexity. It means enabling more people to inspect that complexity. A researcher’s work does not end when a spatial transcriptomics experiment is…
[Spatial at Scale – Part 5] Data Explosion: Memory Fails Before Storage Does
The next bottleneck in spatial biology may not be biology, but memory. You check the size of the spatial transcriptomics data files and provision sufficient disk space.
[Spatial at Scale – Part 4] Why Experimental Success Cannot Depend on “Skilled Hands” Alone
Researchers who place precious patient tissue on a slide often remain on edge until the experiment is complete. If the tissue section is damaged, preprocessing conditions vary even slightly, or an...
[Spatial at Scale – Part 3] Tissue Is Not Just a Sample. It Is Context.
Consider two lung cancer tissue sections analyzed using spatial transcriptomics. One was collected from a primary tumor before treatment, while the other came from a metastatic lesion after multi...
[Spatial at Scale - Part 2] From Seeing More to Making Better Decisions
The widespread adoption of spatial transcriptomics begins when spatial data changes consequential decisions. Anyone encountering spatial transcriptomics results for the first time is likely to be…
[Spatial at Scale - Part 1] What Is Holding Back the Mass Adoption of Spatial Transcriptomics?
What Is Holding Back the Mass Adoption of Spatial Transcriptomics? Spatial transcriptomics does not have a resolution problem alone.
A Sneeze Shouldn't Ruin an AI Model: Why Portrai is Automating Visium HD with ABLE Labs
Spatial Transcriptomics (ST) is changing the landscape of precision oncology by decoding both the location and gene expression of cells simultaneously. Yet, behind the stunning AI-generated maps...
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Portrai's Authors
Capturing and compounding Portrai's insights.
Daeseung Lee
CEO
Physician-scientist who left clinical practice to bring spatial biology into oncology drug discovery
Hongyoon Choi
CTO
Builds the algorithms that turn spatial transcriptomics into actionable target intelligence
Hyung-Jun Im
CSO
Nuclear medicine specialist linking imaging biomarkers to next-generation radiopharmaceuticals
Kwonjoong Na
CMO
Translates platform insights into IND-enabling decisions across oncology programs
Portrai
Official posts from the Portrai team, decoding disease with spatial intelligence