Placental derived Extracellular Matrix Supports multi-lineage cell attachment and nuclear remodeling revealed by quantitative imaging

Decellularized extracellular matrix (dECM) scaffolds are increasingly used in regenerative medicine, yet the extent to which processed placental dECM retains properties capable of influencing cellular responses remains unclear. This study combines functional cell assays with deep learning-enabled quantitative imaging to determine how dehydrated placental ECM regulates cellular behavior across multiple human cell lineages. Human dermal fibroblasts, cardiac fibroblasts, and osteoblasts were cultured on dehydrated placental ECM or standard cell culture surfaces and assessed for cell attachment, viability, extracellular matrix production, and nuclear morphology. Placental dECM supported attachment and survival across all three cell types, while Pro-Collagen I Alpha 1 secretion varied by cell lineage relative to negative controls. To identify structural responses associated with scaffold culture, an automated imaging pipeline combining Cellpose-based nuclear segmentation with nuclear morphometric analysis was used to quantify nuclear area, eccentricity, and circularity. Quantitative profiling of hundreds of nuclei revealed scaffold-dependent remodeling of nuclear morphology that was not apparent by conventional microscopy. Cells cultured on placental dECM exhibited reduced nuclear area and increased nuclear eccentricity, while cardiac fibroblasts and osteoblasts showed alterations in nuclear circularity. These lineage-dependent morphological responses demonstrate that placental dECM provides more than a permissive substrate for cell attachment and is associated with measurable changes in cellular architecture following processing. Together, these findings support the biological relevance of processed placental dECM as a regenerative biomaterial and demonstrate the utility of quantitative single-cell morphometric analysis for detecting cell-material interactions that may not be apparent through qualitative imaging alone, guiding the rational design of regenerative therapies.