Cell Lineage Reconstruction of Early Zebrafish Embryos Using Label-Free Nonlinear Microscopy

Zebrafish Development in 3D Vertebrate development has classically been characterized qualitatively, but—by combining expertise in physics, mathematics, and biology—Olivier et al. (p. 967) used label-free conformal nonlinear time-lapse microscopy and image analysis to calculate the spatiotemporal cell lineage of zebrafish embryos throughout their first 10 division cycles. The work reconstructs complete lineage trees, annotated with cell-shape measurements, and allows for visualization with interactive tools. Time-lapse recording characterizes the rhythm and cleavage pattern of the embryo during early stages of development. Quantifying cell behaviors in animal early embryogenesis remains a challenging issue requiring in toto imaging and automated image analysis. We designed a framework for imaging and reconstructing unstained whole zebrafish embryos for their first 10 cell division cycles and report measurements along the cell lineage with micrometer spatial resolution and minute temporal accuracy. Point-scanning multiphoton excitation optimized to preferentially probe the innermost regions of the embryo provided intrinsic signals highlighting all mitotic spindles and cell boundaries. Automated image analysis revealed the phenomenology of cell proliferation. Blastomeres continuously drift out of synchrony. After the 32-cell stage, the cell cycle lengthens according to cell radial position, leading to apparent division waves. Progressive amplification of this process is the rule, contrasting with classical descriptions of abrupt changes in the system dynamics.

• Publication year

  2010

• Venue

  Science

• Publication date

  2010-08-20

• Fields of study

  Biology, Medicine, Physics, Computer Science

• Identifiers
  DOI 10.1126/science.1189428PMID 20724640
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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