bioRxivBioinformaticsPreprint
Cornealia: automated collective order analysis reveals density-dependent reorganization of donor corneal endothelium
Majid RostamiiD, Saad AsimiD, Mason Steele, Darren Sai Kyauk, Lisa Moul, Samuel Haarman, Addie Richard, Gary S. L. PehiD, David Moore, Muhammad RizwaniD, Jodhbir Singh MehtaiD, Sangyoon J. HaniD
Abstract
The corneal endothelium is a non-regenerative monolayer whose health determines transplant success, yet donor tissue is assessed only by single-cell metrics that ignore how the monolayer is organized collectively. A physics-based spring constant K, derived from the radial distribution function of cell positions, captures this collective order but has remained limited to semi-manual studies without physical interpretation. Here we present Cornealia, an automated pipeline for collective-order and intercellular-force analysis. In cultured endothelial cells, collective order declines with passaging and is higher under growth-factor conditions that preserve N-cadherin junctions, differences invisible to cell density and hexagonality. Across 2,177 donor cornea images from two cohorts, collective order, distinct from classical metrics, responds most to mechanical perturbation: corneas with endothelial cell density above 2,400 cells/mm^2 mostly gain order, whereas less dense ones lose it, on one curve shared by both cohorts. Reconstructed intercellular forces track these changes. This switch lies within the minimum donor densities used by eye banks, suggesting a mechanical basis for these clinical thresholds and establishing collective order as an automatable measure of endothelial quality.
- organism: human
- assay: imaging
- research focus: cell type annotation
- research focus: clustering
- research focus: spatial domain detection
- research focus: benchmarking
- approach: statistical model
- approach: experimental assay
- Citations
- 0
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