A random-sampling approach to track cell divisions in time-lapse fluorescence microscopy.

ABSTRACT:

Background

Particle-tracking in 3D is an indispensable computational tool to extract critical information on dynamical processes from raw time-lapse imaging. This is particularly true with in vivo time-lapse fluorescence imaging in cell and developmental biology, where complex dynamics are observed at high temporal resolution. Common tracking algorithms used with time-lapse data in fluorescence microscopy typically assume a continuous signal where background, recognisable keypoints and independently moving objects of interest are permanently visible. Under these conditions, simple registration and identity management algorithms can track the objects of interest over time. In contrast, here we consider the case of transient signals and objects whose movements are constrained within

SUBMITTER: Amarteifio S 

PROVIDER: S-EPMC7941913 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature