Really enjoyed my first EMBO Fly Meeting. Many thanks to the organizers for the opportunity. The work on cell-size control that I presented at the meeting has just been published, together with a “People Behind the Paper” interview. doi.org/10.1242/dev.... journals.biologists.com/dev/article/...

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

Turlier lab@turlierlab.bsky.social · last yr.

Great time with @sugimuralab.bsky.social, Shuji Ishihara and colleagues at Tokyo University 🇯🇵. Thank you for your very kind welcome and great scientific discussions 🙂

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...

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...

biorxiv.org

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/

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/BayesianForceInference_GoogleColab

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

github.com

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/...

GitHub - Sugimuralab/GetVertexPlugin

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

github.com