Cell-DINO: Self-supervised image-based embeddings for cell fluorescent microscopy
Fig 9
Patch-level feature maps obtained with Cell-DINO.
A) Example images and feature map visualizations obtained using principal component analysis (PCA) on patch-level features after masking the background. The first three principal components (PCs) are mapped to the RGB color space. B) Matching patch-level features across images using cosine similarity. A query token is selected from the input image and the cosine similarity is calculated against all patches of reference images.