Robust geometric drift correction and identity reconstruction for biological 3D time-lapse point clouds
Structural time-lapse microscopy experiments aim to follow cells or subcellular structures over time, typically by detecting objects in each frame and linking them into trajectories. In practice, this process yields sequences of spatial coordinates derived from segmentation, while identity information across time is often absent or unreliable. In addition, the observed coordinates may be affected…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
