A Novel Methodology for Characterizing Cell Subpopulations in Automated Time-lapse Microscopy.

ABSTRACT: Time-lapse imaging of cell colonies in microfluidic chambers provides time series of bioimages, i.e., biomovies. They show the behavior of cells over time under controlled conditions. One of the main remaining bottlenecks in this area of research is the analysis of experimental data and the extraction of cell growth characteristics, such as lineage information. The extraction of the cell line by human observers is time-consuming and error-prone. Previously proposed methods often fail because of their reliance on the accurate detection of a single cell, which is not possible for high density, high diversity of cell shapes and numbers, and high-resolution images with high noise. Our task is to characterize subpopulations in biomovies. In order to shift the analysis of the data from individua

SUBMITTER: Hattab G 

PROVIDER: S-EPMC5835524 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature