Whole-transcriptome profiling across a large tissue capture area can generate 2x more unique genes per sample than probe-based technologies SAN DIEGO, June 8, 2026 /PRNewswire/ -- Illumina, Inc.
In nature, there exist structures that are mirror images of each other but cannot be perfectly superimposed. These are known as chiral objects, derived from the Greek word for "hand," since left and ...
A new computational method could dramatically accelerate efforts to map the body's cells in space, according to a study published in Nature Genetics. Spatial multi-omics technologies—often described ...
The odor receptors in the nose are not distributed at random but organized in a precise spatial pattern, two new studies reveal. By Emily Anthes Over the last century, scientists have mapped several ...
SHANGHAI--(BUSINESS WIRE)--Robbyant, the embodied AI company within Ant Group, today announced the open-sourcing of LingBot-Map, a new streaming 3D reconstruction model. This innovative technology ...
The robots are coming—and they’ll need a good map to get around, whether they’re delivering our packages, driving us around, or doing any of the myriad of other tasks robotic helpers may perform for ...
From now through April 18, New York’s Metrograph is teaming up with the Czech Center NY to present The Weird and Wonderful World of Czech Animation, a survey spanning 1949 to 2025 that traces one of ...
Abstract: Convolutional neural networks (CNNs) and graph neural networks (GNNs) are two widely used architectures in hyperspectral image (HSI) classification. Most CNN models tend to heavily rely on ...
Pancreatic ductal adenocarcinoma (PDAC), an aggressive cancer with poor prognosis, poses major challenges owing to late diagnosis and limited response to current therapies. However, the identification ...
New simulator and computational tools generate realistic ‘virtual tissues’ and map cell-to-cell ‘conversations’ from spatial transcriptomics data, potentially accelerating AI-driven discoveries in ...
SpatialActor is a disentangled framework for robust robotic manipulation. It decouples perception into complementary high-level geometry from fine-grained but noisy raw depth and coarse but robust ...
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