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CardioSeg: An interactive platform for integrated spatial transcriptomics data and nuclear morphological analysis of mouse heart tissue

2026-05-25

Abstract excerpt

<h4>Motivation</h4> Spatial transcriptomics enables gene expression profiling within its spatial context in intact tissue sections. Existing workflows for segmentation, spatial annotation, and morphological analysis are often code-heavy and poorly integrated. This limits the joint analysis of spatial gene expression at a single-nucleus resolution, and corresponding nuclear morphology. <h4>Results</h4> We present...

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Literature Corpus work
a8213836-3997-5158-82bb-2f1f042d7790
DOI
10.64898/2026.05.21.723734
Open publication

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CardioSeg: An interactive platform for integrated spatial transcriptomics data and nuclear morphological analysis of mouse heart tissueDOI 10.64898/2026.05.21.723734
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