These claims have the potential to be highly significant for the field of bioimage analysis, provided that the authors can convincingly demonstrate that these "unbiased embeddings" are indeed robust to confounding factors such as batch effects, which could otherwise limit the method’s validity.
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Cell-DINO: Self-supervised image-based embeddings for cell fluorescent microscopy.
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