Hello. Can I be added if it is still possible?

Movie of the same dataset: cells are colored by division lineage (green and orange; colors fade with successive divisions), making the spatiotemporal dynamics of distinct division lineages immediately visible.

Most beautiful graph I’ve ever plotted: precise control of average cell size emerging from the frequencies and size dynamics of distinct division lineages in Drosophila wing.
More on spatiotemporal division dynamics, see: www.biorxiv.org/content/10.6...

To actin and adhesion lovers in the Fly community, we’re pleased to announce that a GFP knock-in line for Coronin-1, a WD-repeat actin-binding protein, is now available from the Kyoto Stock Center.
Stock: kyotofly.kit.jp/cgi-bin/stoc...
Original publication: www.jstage.jst.go.jp/article/csf/...

Thank you for visiting us and for the excellent seminar! We really enjoyed the stimulating discussions. @turlierlab.bsky.social

In vivo assessment of kinematic relationships for epithelial morphogenesis Tissue growth and deformation result from the combined effects of various cellular events, including cell shape change, cell rearrangement, cell division, and cell death. Resolving and integrating the...

New preprint! Using in vivo data of epithelial development, we demonstrate the compatibility of strain rate tensors and the accuracy of kinematic equations. The results cross-validate the modified texture analysis and our hydrodynamic model.
www.biorxiv.org/content/10.1...

Bayesian parameter inference for epithelial mechanics Cell-based mechanical models, such as the Cell Vertex Model (CVM), have proven useful for studying the mechanical control of epithelial tissue dynamic…

Link to her first first-author paper, Bayesian Parameter Inference for Epithelial Mechanics: www.sciencedirect.com/science/arti...

Xin received the Excellent Research Award based on her master’s thesis. Congratulations!
M2の厳欣さんが東京大学大学院新領域創成科学研究科メディカル情報生命専攻のExcellent Research Award優秀賞を受賞しました。
cbms.k.u-tokyo.ac.jp/about/award/

I wanted to say that Bayesian Force Inference is now on Google Colab. The original Python code has been uploaded to GitHub.

GitHub - Sugimuralab/BayesianForceInference_GoogleColab Contribute to Sugimuralab/BayesianForceInference_GoogleColab development by creating an account on GitHub.

Bayesian Force Inference is now on GitHub!
Together with GetVertex, an ImageJ/Fiji plugin for extracting input data from skeletonized images, this enables code-free quantification of forces during epithelial development.
github.com/Sugimuralab/...

GitHub - Sugimuralab/GetVertexPlugin Contribute to Sugimuralab/GetVertexPlugin development by creating an account on GitHub.

Happy to share GetVertex, an ImageJ/Fiji plugin that extracts cell vertex positions and connectivity from skeletonized images.
The output text file can be used as input for Bayesian Force Inference and Image-based Parameter Inference for Epithelial Mechanics.
github.com/Sugimuralab/...