Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Spatial transcriptomics (ST) technologies are applied in biology and medical research for its ability to detect the spatial distribution of transcriptome in histological tissue slices. By probing some ...

Spatial proteomics is the study of the spatial distribution of the proteins within cells and tissues. The subcellular localization of proteins is intrinsic to cellular function, making spatial ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.

Tested across eight lettuce types, the system successfully visualizes pigment spatial distribution from individual leaves to full canopies, offering a ...

Physical retail stores have been struggling, and the data shows that the trend is set to continue, with forecasts of over 45,000 stores expected to close their doors from 2024 to 2029. This isn't ...

A research team has now developed an intelligent, non-destructive method that integrates hyperspectral imaging (HSI) with a ...