Mendonca, T. orcid.org/0000-0002-6232-4970, Jones, A.A. orcid.org/0000-0002-9602-4917, Pozo, J.M. et al. (3 more authors) (Submitted: 2021) Origami : single-cell oriented 3D shape dynamics of folding epithelia from fluorescence microscopy images. bioRxiv. (Submitted)
Abstract
A common feature of morphogenesis is the formation of three-dimensional structures from the folding of two-dimensional epithelial sheets aided by spatio-temporal cell shape changes at the cellular-level. Studying cell shape dynamics and polarised processes that underpin them, requires orienting cells within the epithelial sheet. In epithelia with highly curved surfaces, assigning cell orientation can be difficult to automate in silico. We present ‘Origami’, a MATLAB-based image analysis pipeline to compute oriented cell shape-features. Our automated method accurately computed cell orientation in regions with opposing curvature in synthetic epithelia and fluorescence images of zebrafish embryos. As proof of concept, we identified different cell shape signatures in the developing zebrafish inner ear, where the epithelium deforms in opposite orientations to form different structures. Origami is designed to be user-friendly and is generally applicable to fluorescence images of curved epithelia.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2021 The Authors. |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield) > Department of Animal and Plant Sciences (Sheffield) |
Funding Information: | Funder Grant number Biotechnology and Biological Sciences Research Council BB/M01021X/1; BB/M012522/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 11 Apr 2022 09:17 |
Last Modified: | 11 Apr 2022 09:17 |
Published Version: | http://dx.doi.org/10.1371/journal.pcbi.1009063 |
Status: | Submitted |
Publisher: | Cold Spring Harbor Laboratory |
Identification Number: | 10.1101/2021.05.13.443974 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:185581 |