Hikari Matsumoto

The paper introduces Apical3DTip, a method for 3D and 4D analysis of Arabidopsis embryo initial cell morphology using elliptic cross-sections and coordinate normalization, enabling accurate geometric characterization without mesh reconstruction.

The paper shows that temporal changes in surface tension at the growing tip of Arabidopsis zygotes maintain cortical microtubule bands, which guide the formation of the preprophase band and ensure asymmetric cell division.

This study shows Ca2+ oscillations drive microtubule-band turnover and support tip growth in Arabidopsis zygotes through a feedback loop, distinct from actin-based tip growth mechanisms.

The paper shows that plastids in Arabidopsis zygote undergo two-step migration via F-actin and microtubules, leading to unequal inheritance during asymmetric division.

This paper introduces a plasma membrane staining method using FM4-64 to visualize living cell morphology in reproductive tissues of diverse plant species, enabling high-resolution imaging and analysis without transgenic lines.

The paper uses an agent-based simulation to study cortical microtubule band movement in Arabidopsis zygotes, identifying self-organization processes and the role of directional cues.

This study uses deep learning to segment cytoskeleton structures in plant cells, improving density measurements compared to traditional methods.

The paper develops a viscoelastic-plastic model to simulate tip growth in Arabidopsis zygotes and identifies non-dimensional parameters that maintain a hemisphere-like shape.