Abstract:
:Motility studies of cells often rely on computer software that analyzes time-lapse recorded movies and establishes cell trajectories fully automatically. This raises the question of reproducibility of results, since different programs could yield significantly different results of such automated analysis. The fact that the segmentation routines of such programs are often challenged by nanostructured surfaces makes the question more pertinent. Here we illustrate how it is possible to track cells on bright field microscopy images with image analysis routines implemented in an open-source cell tracking program, PACT (Program for Automated Cell Tracking). We compare the automated motility analysis of three cell tracking programs, PACT, Autozell, and TLA, using the same movies as input for all three programs. We find that different programs track overlapping, but different subsets of cells due to different segmentation methods. Unfortunately, population averages based on such different cell populations, differ significantly in some cases. Thus, results obtained with one software package are not necessarily reproducible by other software.
journal_name
Comput Struct Biotechnol Jjournal_title
Computational and structural biotechnology journalauthors
Grădinaru C,Lopacińska JM,Huth J,Kestler HA,Flyvbjerg H,Mølhave Kdoi
10.5936/csbj.201207004subject
Has Abstractpub_date
2012-11-21 00:00:00pages
e201207004issn
2001-0370pii
CSBJ-1-e201207004journal_volume
1pub_type
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