Guoye Guan

The paper shows coupling reaction-diffusion circuits with mechanical regulation improves robustness of self-organized pattern formation in synthetic cell systems.

The paper models how short-range adhesion and long-range attraction in gastruloids lead to robust axis formation, supported by experimental validation.

EmbSAM provides a framework for 3D cell membrane segmentation in C. elegans embryos using deep learning and the Segment Anything Model, enabling analysis of cell shape dynamics during development.

The paper quantifies cell morphology in C. elegans embryos, revealing that signaling pathways regulate both cell fate asymmetry and volume asymmetry.

The paper develops a data-driven phase field model to simulate early C. elegans embryo morphogenesis using imaging data, revealing the roles of cell division and cell-cell attraction.

The paper develops CShaper, a deep-learning-based pipeline to generate a 4D morphological atlas of C. elegans embryos, characterizing cell shape, migration, and cell-cell contacts across development.

The paper quantifies and phenotypes early embryonic morphogenesis in C. elegans using a reference embryo and system-level phenotyping methods to analyze 1818 mutant embryos.