Research
We investigate how embryos reproducibly build complex organisms. Our core question: how to quantify developmental variability across spatio-temporal scales? We combine fluorescence microscopy, spatial transcriptomics, and machine learning to analyze morphogenesis at single-cell resolution in model organisms including Drosophila and ascidians.
Our two main axes are (1) building morphological and molecular atlases of embryogenesis through non-linear co-registration of multiple embryos, and (2) developing machine-learning algorithms to detect and quantify scales of reproducibility throughout development.
Highlighted
Contact area–dependent cell communication and the morphological invariance of ascidian embryogenesis
Science
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03 Jul 2020
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doi:10.1126/science.aar5663
All
2026
sc3D: A Comprehensive Tool for 3D Spatial Transcriptomic Analysis
BIO-PROTOCOL
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01 Jan 2026
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doi:10.21769/bioprotoc.5607
2025
Fast volumetric fluorescence lifetime imaging of multicellular systems using single-objective light-sheet microscopy
Communications Biology
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29 Nov 2025
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doi:10.1038/s42003-025-09221-2
Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
openRxiv
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01 Mar 2025
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doi:10.1101/2025.02.26.640367
2024
A quantitative pipeline for whole-mount deep imaging and analysis of multi-layered organoids across scales
openRxiv
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14 Aug 2024
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doi:10.1101/2024.08.13.607832
Epigenetic priming of embryonic lineages in the mammalian epiblast
openRxiv
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11 Jan 2024
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doi:10.1101/2024.01.11.575188
2023
Spatiotemporal transcriptomic maps of whole mouse embryos at the onset of organogenesis
Nature Genetics
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13 Jul 2023
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doi:10.1038/s41588-023-01435-6
2022
Automated reconstruction of whole-embryo cell lineages by learning from sparse annotations
Nature Biotechnology
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05 Sep 2022
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doi:10.1038/s41587-022-01427-7
Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning
Nature Biotechnology
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10 Jan 2022
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doi:10.1038/s41587-021-01094-0
Mathematical and bioinformatic tools for cell tracking
Cell Movement in Health and Disease
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01 Jan 2022
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doi:10.1016/b978-0-323-90195-6.00013-9
2021
Automated Reconstruction of Whole-Embryo Cell Lineages by Learning from Sparse Annotations
openRxiv
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29 Jul 2021
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doi:10.1101/2021.07.28.454016
2020
Mouse embryonic stem cells self-organize into trunk-like structures with neural tube and somites
Science
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04 Dec 2020
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doi:10.1126/science.aba4937
Contact area–dependent cell communication and the morphological invariance of ascidian embryogenesis
Science
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03 Jul 2020
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doi:10.1126/science.aar5663
2019
Evolution of embryonic cis-regulatory landscapes between divergent Phallusia and Ciona ascidians
Developmental Biology
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01 Apr 2019
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doi:10.1016/j.ydbio.2019.01.003
Quantitative analysis of animal morphogenesis : from high-throughput laser imaging to 4D virtual embryo in ascidians
Montpellier University
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15 Jan 2019
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[no id info]
2018
In Toto Imaging and Reconstruction of Post-Implantation Mouse Development at the Single-Cell Level
Cell
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04 Oct 2018
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doi:10.1016/j.cell.2018.09.031
Evolution of the embryonic cis-regulatory landscapes between divergent Phallusia and Ciona ascidians.
openRxiv
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19 Jul 2018
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doi:10.1101/371005
Multi-view light-sheet imaging and tracking with the MaMuT software reveals the cell lineage of a direct developing arthropod limb
eLife
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09 Apr 2018
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doi:10.7554/eLife.34410
Multi-view light-sheet imaging and tracking with the MaMuT software reveals the cell lineage of a direct developing arthropod limb
eLife
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29 Mar 2018
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doi:10.7554/elife.34410
2017
Contact-dependent cell-cell communications drive morphological invariance during ascidian embryogenesis
openRxiv
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24 Dec 2017
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doi:10.1101/238741
2015
Cell pairings for ascidian embryo registration
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
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01 Apr 2015
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doi:10.1109/ISBI.2015.7163872
Genome‐wide screen identifies a novel p97/CDC‐48‐dependent pathway regulating ER‐stress‐induced gene transcription
The EMBO Reports
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06 Feb 2015
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doi:10.15252/embr.201439123
2014
Spatio-temporal registration of embryo images
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)
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01 Apr 2014
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doi:10.1109/ISBI.2014.6867986
Embryo cell membranes reconstruction by tensor voting
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)
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01 Apr 2014
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doi:10.1109/ISBI.2014.6868105
Quantitative analysis of animal morphogenesis : from high-throughput laser imaging to 4D virtual embryo in ascidians
Agence Bibliographique de l'Enseignement Supérieur
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[no date info]
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doi:10.70675/c241b9a5z0a8az4591zbff9z7c3a20333422