期刊
ELIFE
卷 4, 期 -, 页码 -出版社
ELIFE SCIENCES PUBLICATIONS LTD
DOI: 10.7554/eLife.05864
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资金
- Schweizerische Nationalfonds zur Forderung der Wissenschaftlichen Forschung
- Human Frontier Science Program (HFSP) [RGP0008/2013, RGY0087/2011]
- European Research Council (ERC)
- Biotechnology and Biological Sciences Research Council (BBSRC) [BB/L010232/1]
- University Of Birmingham
- Universitat Zurich
- Narodowe Centrum Nauki MAESTRO research grant [2011/02/A/NZ3/00079]
- Deutsche Forschungsgemeinschaft [SFB 680]
- Max-Planck-Gesellschaft
- Schweizerische Nationalfonds zur Forderung der Wissenschaftlichen Forschung [CR3213_132586, CR3213_143833]
- Swiss Initiative in Systems Biology
- BBSRC [BB/L010232/1] Funding Source: UKRI
- Biotechnology and Biological Sciences Research Council [BB/L010232/1] Funding Source: researchfish
Morphogenesis emerges from complex multiscale interactions between genetic and mechanical processes. To understand these processes, the evolution of cell shape, proliferation and gene expression must be quantified. This quantification is usually performed either in full 3D, which is computationally expensive and technically challenging, or on 2D planar projections, which introduces geometrical artifacts on highly curved organs. Here we present MorphoGraphX (www.MorphoGraphX.org), a software that bridges this gap by working directly with curved surface images extracted from 3D data. In addition to traditional 3D image analysis, we have developed algorithms to operate on curved surfaces, such as cell segmentation, lineage tracking and fluorescence signal quantification. The software's modular design makes it easy to include existing libraries, or to implement new algorithms. Cell geometries extracted with MorphoGraphX can be exported and used as templates for simulation models, providing a powerful platform to investigate the interactions between shape, genes and growth.
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