359-PLATO: High-Resolution Spatial Proteomics
Researchers have developed PLATO, a high-throughput platform designed to map the spatial proteome across entire tissue sections with high resolution. Traditional methods often struggle with high costs, low efficiency, or a limited number of detectable proteins, but this new approach uses microfluidic chips to perform parallel-flow sampling from multiple angles. To transform these captured measurements into detailed images, the team created Flow2Spatial, a deep learning algorithm that utilizes transfer learning from other omics data to reconstruct protein distributions. The study demonstrates…
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