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4D reconstruction of developmental trajectories using spherical harmonics

View ORCID ProfileGiovanni Dalmasso, View ORCID ProfileMarco Musy, Martina Niksic, View ORCID ProfileAlexandre Robert-Moreno, Claudio Badía-Careaga, Juan J. Sanz-Ezquerro, View ORCID ProfileJames Sharpe
doi: https://doi.org/10.1101/2021.12.16.472948
Giovanni Dalmasso
1European Molecular Biology Laboratory (EMBL-Barcelona), Barcelona, Spain
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  • For correspondence: giovanni.dalmasso@embl.es james.sharpe@embl.es
Marco Musy
1European Molecular Biology Laboratory (EMBL-Barcelona), Barcelona, Spain
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Martina Niksic
2Centre for Genomic Regulation (CRG), Barcelona, Spain
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Alexandre Robert-Moreno
1European Molecular Biology Laboratory (EMBL-Barcelona), Barcelona, Spain
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Claudio Badía-Careaga
3Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
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Juan J. Sanz-Ezquerro
3Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
4Centro Nacional de Biotecnologia (CSIC Madrid), Madrid, Spain
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James Sharpe
1European Molecular Biology Laboratory (EMBL-Barcelona), Barcelona, Spain
5Institució Catalana de Recerca I Estudis Avançats (ICREA), Barcelona, Spain
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  • For correspondence: giovanni.dalmasso@embl.es james.sharpe@embl.es
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Summary

Although the full embryonic development of species such as Drosophila and zebrafish can be 3D imaged in real time, this is not true for mammalian organs, as normal organogenesis cannot be recapitulated in vitro. Currently available 3D data is therefore ex vivo images which provide only a snap shot of development at discrete moments in time. Here we propose a computer-based approach to recreate the continuous evolution in time and space of developmental stages from 3D volumetric images. Our method uses the mathematical approach of spherical harmonics to re-map discrete shape data into a space in which facilitates a smooth interpolation over time. We tested our approach on mouse limb buds (from E10 to E12.5) and embryonic hearts (from 10 to 29 somites). A key advantage of the method is that the resulting 4D trajectory takes advantage of all the available data (i.e. it is not dominated by the choice of a few “ideal” images), while also being able to interpolate well through time intervals for which there is little or no data. This method not only provides a quantitative basis for validating predictive models, but it also increases our understanding of morphogenetic processes. We believe this is the first data-driven quantitative 4D description of limb morphogenesis.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://github.com/gioda/4D-reconstruction-of-developmental-trajectories-using-spherical-harmonics

  • http://vedo.embl.es/fearless

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted December 17, 2021.
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4D reconstruction of developmental trajectories using spherical harmonics
Giovanni Dalmasso, Marco Musy, Martina Niksic, Alexandre Robert-Moreno, Claudio Badía-Careaga, Juan J. Sanz-Ezquerro, James Sharpe
bioRxiv 2021.12.16.472948; doi: https://doi.org/10.1101/2021.12.16.472948
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4D reconstruction of developmental trajectories using spherical harmonics
Giovanni Dalmasso, Marco Musy, Martina Niksic, Alexandre Robert-Moreno, Claudio Badía-Careaga, Juan J. Sanz-Ezquerro, James Sharpe
bioRxiv 2021.12.16.472948; doi: https://doi.org/10.1101/2021.12.16.472948

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