SIMPLER learns biologically grounded SIM representations by progressively aligning them with H&E images through multiple self-supervised objectives, outperforming scratch-trained or H&E-only models on downstream tasks like multiple instance learning and clustering.
Frontiers in Bioengineering and Biotechnology7, 198 (2019)
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SIMPLER: H&E-Informed Representation Learning for Structured Illumination Microscopy
SIMPLER learns biologically grounded SIM representations by progressively aligning them with H&E images through multiple self-supervised objectives, outperforming scratch-trained or H&E-only models on downstream tasks like multiple instance learning and clustering.