Cell Imaging Feature Extraction and Morphology Clustering for Spatial Omics – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-26T00:06:00Z http://www.open-lab.net/blog/feed/ Gary Burnett <![CDATA[Cell Imaging Feature Extraction and Morphology Clustering for Spatial Omics]]> http://www.open-lab.net/blog/?p=85873 2024-08-09T14:47:02Z 2024-07-24T20:16:10Z VISTA-2D is a new foundational model from NVIDIA that can quickly and accurately perform cell segmentation, a fundamental task in cell imaging and spatial omics...]]> VISTA-2D is a new foundational model from NVIDIA that can quickly and accurately perform cell segmentation, a fundamental task in cell imaging and spatial omics...Live cell image showing cell segmentations.

VISTA-2D is a new foundational model from NVIDIA that can quickly and accurately perform cell segmentation, a fundamental task in cell imaging and spatial omics workflows that is critical to the accuracy of all downstream tasks. The VISTA-2D model uses an image encoder to create image embeddings, which it can then turn into segmentation masks (Figure 1). The embeddings must contain��

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