The future of cell biology and virtual cell models is dependent on measuring and analyzing data at scale. Single-cell experiments have been growing at an incredible rate over the last 10 years, beginning with hundreds of cells and now moving towards new data generation efforts with billions of cells. With virtual cell models, billions of virtual cells are also being generated.
]]>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…
]]>The release of NVIDIA Clara Parabricks v3.6 brings new applications for variant calling, annotation, filtering, and quality control to its suite of powerful genomic analysis tools. Now featuring over 33 accelerated tools for every stage of genomic analysis, NVIDIA Clara Parabricks provides GPU-accelerated bioinformatic pipelines that can scale for any workload. As genomes and exomes are…
]]>Object detection remains the primary driver for applications such as autonomous driving and intelligent video analytics. Object detection applications require substantial training using vast datasets to achieve high levels of accuracy. NVIDIA GPUs excel at the parallel compute performance required to train large networks in order to generate datasets for object detection inference.
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