10x Genomics Announces Sentira, a New Computational Platform to Turn Complex Biological Data Into Experimental Conclusions
PR Newswire•29/09/2026•09:01 ET
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Key Highlights
- ➤Sentira Spatial cuts spatial data processing from hours to minutes
- ➤Sentira Spatial available free through Early Access for Xenium or Atera users
- ➤Sentira Spatial commercial launch expected early 2027 as paid analysis platform
- ➤10x Genomics (TXG) integrates NVIDIA accelerated computing and rapids-singlecell
- ➤Atera begins shipping to customers, enabling spatial whole transcriptome data generation at scale
Expert Statements
Filip Defoort, Senior Vice President, Software at 10x Genomics
“Our vision for Sentira is to fundamentally change how researchers turn increasingly complex biological data into experimental conclusions, and Sentira Spatial is just the first step.”
Filip Defoort, Senior Vice President, Software at 10x Genomics
“By bringing together our understanding of biology, the technologies that generate the data and the analysis workflows researchers rely on, we can give scientists a faster, more direct path from the questions they ask to the discoveries that follow.”
Rory Kelleher, Senior Director of Global Business Development for Life Sciences at NVIDIA
“Spatial biology is generating datasets of unprecedented scale and complexity, making accelerated computing essential to advancing discovery.”
Rory Kelleher, Senior Director of Global Business Development for Life Sciences at NVIDIA
“By combining NVIDIA accelerated computing and rapids-singlecell with 10x Genomics' expertise across spatial data generation and analysis, Sentira can reduce core analysis cycles from hours to minutes—helping researchers iterate faster and focus on uncovering biological insights.”
10x Genomics Announces Sentira, a New Computational Platform to Turn Complex Biological Data Into Experimental Conclusions PR Newswire
Sentira Spatial Analysis leverages NVIDIA accelerated computing to cut spatial data processing times from hours to minutes, putting rapid, iterative analysis at the fingertips of every researcher
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