Quantifying HiPSC-CM structural organization at scale with deep learning-enhanced SarcGraph
Fig 5
This figure highlights the limitations of manual scoring.
(A) Cells arranged by sarcomere count normalized by cell area (ranked) within each score group (1 to 5), highlighting variation within score groups and visual similarity between cells from adjacent groups. (B) Confusion matrices comparing Expert 1 (KG) and Expert 2 (MH) scores across the Train, Test FISH, and Test Live datasets, emphasizing scoring differences. This panel closely corresponds to Figure S2 panel J from [32]. (C) Average PCA projections of feature vectors from detected sarcomeres across the Train, Test FISH, and Test Live datasets, grouped by expert-assigned cell organization levels (Low: score < 3, Medium: score = 3, High: score > 3), showing distribution differences across datasets.