ShapeMetrics: A 3D Cell Segmentation Pipeline for Single-Cell Spatial Morphometric Analysis
Author:
Publisher
Springer US
Link
https://link.springer.com/content/pdf/10.1007/7651_2023_489
Reference7 articles.
1. Lemke SB, Nelson CM (2021) Dynamic changes in epithelial cell packing during tissue morphogenesis. Curr Biol 31(18):R1098–R1110. https://doi.org/10.1016/j.cub.2021.07.078
2. Mattiazzi Usaj M, Styles EB, Verster AJ, Friesen H, Boone C, Andrews BJ (2016) High-content screening for quantitative cell biology. Trends Cell Biol 26(8):598–611. https://doi.org/10.1016/j.tcb.2016.03.008
3. Hodneland E, Kogel T, Frei DM, Gerdes HH, Lundervold A (2013) CellSegm - a MATLAB toolbox for high-throughput 3D cell segmentation. Source Code Biol Med 8(1):16. https://doi.org/10.1186/1751-0473-8-16
4. Wang Z, Li H (2017) Generalizing cell segmentation and quantification. BMC Bioinformatics 18(1):189. https://doi.org/10.1186/s12859-017-1604-1
5. Takko H, Pajanoja C, Kurtzeborn K, Hsin J, Kuure S, Kerosuo L (2020) ShapeMetrics: a userfriendly pipeline for 3D cell segmentation and spatial tissue analysis. Dev Biol 462(1):7–19. https://doi.org/10.1016/j.ydbio.2020.02.003
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