Fig. 4: Identification and segmentation of large-scale EM using spectral unmixing and zero-shot learning.
From: Automated analysis of ultrastructure through large-scale hyperspectral electron microscopy
a Workflow of identification and segmenting structures, from left to right: the abundance map of the selected structure (here glucagon for illustration), the abundance map Gaussian blurred and thresholded, the local maxima from the previous image overlaid on the HAADF image used as point prompts for the SAM model, and the segmentation mask output of SAM. b, c the workflow in (a) applied in large-scale with five structures (insulin, glucagon, nucleic acids, PP or ghrelin, and exocrine granules) resulting in five binary masks shown in a composite image (b) and overlaid the large-scale HAADF (c).
