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Image Search Results
Journal: Biological Imaging
Article Title: VistoSeg : Processing utilities for high-resolution images for spatially resolved transcriptomics data
doi: 10.1017/S2633903X23000235
Figure Lengend Snippet: VistoSeg workflow for Visium H&E image segmentation. (a) Raw histology image of human dorsolateral prefrontal cortex. (b) Gaussian smoothed and contrast-adjusted image of the raw histology image in (a). (c) Enhanced image from (b) converted from RGB color space to L*a*b color space. (d) Different color gradients (k = 5) identified by the MATLAB function imsegkmeans applied to the raw histology image. Cluster 3 corresponded to the nuclei, stained blue in the raw histology image. (d’) An inset of nuclei cluster 3 in (d). (e) Output of refineVNS from nuclei cluster 3 (d’). The refineVNS function allows for separation of adjacent nuclei. (f) Final binary nuclei segmentation obtained from (e).
Article Snippet: Project name: VistoSeg Project home page: https://github.com/LieberInstitute/VistoSeg , http://research.libd.org/VistoSeg/ Operating system(s): MAC, Windows, LINUX Programming language: MATLAB Other requirements: (1) MATLAB
Techniques: Staining