A workflow to process 3D+time microscopy images of developing organisms and reconstruct their cell lineage

The quantitative and systematic analysis of embryonic cell dynamics from in vivo 3D+time image data sets is a major challenge at the forefront of developmental biology. Despite recent breakthroughs in the microscopy imaging of living systems, producing an accurate cell lineage tree for any developing organism remains a difficult task. We present here the BioEmergences workflow integrating all reconstruction steps from image acquisition and processing to the interactive visualization of reconstructed data. Original mathematical methods and algorithms underlie image filtering, nucleus centre detection, nucleus and membrane segmentation, and cell tracking. They are demonstrated on zebrafish, ascidian and sea urchin embryos with stained nuclei and membranes. Subsequent validation and annotations are carried out using Mov-IT, a custom-made graphical interface. Compared with eight other software tools, our workflow achieved the best lineage score. Delivered in standalone or web service mode, BioEmergences and Mov-IT offer a unique set of tools for in silico experimental embryology.

Cell tracking in fluorescence images of embryogenesis processes with morphological reconstruction by 4D-tubular structuring elements

We present a simple and parameter-free nuclei tracking method for reconstructing cell dynamics in fluorescence 3D+t images of embryogenesis. The strategy is based on the use of the mathematical morphology operators directly in the 4D image. The morphological reconstruction of a marker -manually or automatically selected- in an initial spatio-temporal position generates a connected path over the time representing the cell migration. Thus, the processing provides a coherent spatiotemporal estimation of cell movement. The algorithm has been validated on in vivo images of early zebrafish and sea urchin embryogenesis acquired with two-photon laser scanning microscopy providing mean tracking rates above 98% per time step.