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Assessment of automated analyses of cell migration on flat and nanostructured surfaces.

Cristian Grădinaru | Joanna M Lopacińska | Johannes Huth | Hans A Kestler | Henrik Flyvbjerg | Kristian Mølhave
Computational and structural biotechnology journal | 2012

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.

Pubmed ID: 24688640

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This is a list of tools and resources that we have found mentioned in this publication.


NIH 3T3 (tool)

RRID:CVCL_0594

Cell line NIH 3T3 is a Spontaneously immortalized cell line with a species of origin Mus musculus

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HeLa (tool)

RRID:CVCL_0030

Cell line HeLa is a Cancer cell line with a species of origin Homo sapiens

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NIH 3T3 (tool)

RRID:CVCL_0594

Cell line NIH 3T3 is a Spontaneously immortalized cell line with a species of origin Mus musculus

View all literature mentions