The model uses generative AI to create accurate images of stained tissue by simulating imaging for various cellular markers. This helps avoid expensive laboratory testing, especially when limited tissue is available.
The “VirtualMultiplexer” converts a photograph of a fabric dye into images of what the fabric would look like if dyed with different markers. The model is trained on multiple images of fabric with experimental dyes and can create virtual versions of the desired dyes.
Tests confirmed the reliability of the model by showing that the virtual images were accurate and clinically useful. The technology has the potential to improve cancer research and diagnosis by helping formulate hypotheses and design experiments.
Source: Ferra
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