TrackMate-Oneat: Auto Track correction using deep learning networks

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TrackMate-Oneat: Auto Track correction using deep learning networks

We made a focalplane article https://focalplane.biologists.com/2022/07/04/trackmate-oneat-auto-track-correction-using-deep-lea. During the tracking of motile cells, solving the problem of linking objects between two consecutive timepoints becomes even more complicated, if the cells divide or undergo cell death. In the terms of trajectories, this means the addition of trajectory branches and terminations. However, dividing and dying cells are characteristic…
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Zygotic contractility awakening during mouse preimplantation development

Actomyosin contractility is a major engine of preimplantation morphogenesis, which starts at the 8-cell stage during mouse embryonic development. Contractility becomes first visible with the appearance of periodic cortical waves of contraction (PeCoWaCo), which travel around blastomeres in an oscillatory fashion. How contractility of the mouse embryo becomes active remains unknown. We have taken advantage…
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Cell Tracking in 3D using deep learning segmentations

  We made a scipy 2021 article about segmentation, tracking and track analysis Article link Live-cell imaging is a highly used technique to study cell migration and dynamics over time. Although many computational tools have been developed during the past years to automatically detect and track cells, they are optimized to detect cell nuclei with similar…

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