US US20260221283A1
[0000] The present disclosure provides a method of determining a condition of a biological sample by at least one processor. The method comprises receiving one or more target microscopy images associated with the biological sample, wherein each microscopy image depicts cellular organelles pertaining to specific organelle types. The method further comprises inferring a Vision Transformer (ViT) model on the one or more target microscopy images, to generate, for each organelle type, a corresponding embedding vector, wherein the ViT model is trained using contrastive learning to distinguish between different perturbations of the organelles. The method additionally comprises applying at least one analysis model on the embedding vectors, to predict the condition of the biological sample. The predicted condition may include disease states, cellular responses, genetic mutation status, developmental stages, metabolic states, or organelle dysfunction states.
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