Literature DB >> 10331621

In vitro motility evaluation of aggregated cancer cells by means of automatic image processing.

C De Hauwer1, F Darro, I Camby, R Kiss, P Van Ham, C Decaesteker.   

Abstract

BACKGROUND: Set up of an automatic image processing based method that enables the motility of in vitro aggregated cells to be evaluated for a number of hours.
METHODS: Our biological model included the PC-3 human prostate cancer cell line growing as a monolayer on the bottom of Falcon plastic dishes containing conventional culture media. Our equipment consisted of an incubator, an inverted phase contrast microscope, a Charge Coupled Device (CCD) video camera, and a computer equipped with an image processing software developed in our laboratory. This computer-assisted microscope analysis of aggregated cells enables global cluster motility to be evaluated. This analysis also enables the trajectory of each cell to be isolated and parametrized within a given cluster or, indeed, the trajectories of individual cells outside a cluster.
RESULTS: The results show that motility inside a PC-3 cluster is not restricted to slight motion due to cluster expansion, but rather consists of a marked cell movement within the cluster.
CONCLUSIONS: The proposed equipment enables in vitro aggregated cell motility to be studied. This method can, therefore, be used in pharmacological studies in order to select anti-motility related compounds. The compounds selected by the equipment described could then be tested in vivo as potential anti-metastatic.

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Year:  1999        PMID: 10331621     DOI: 10.1002/(sici)1097-0320(19990501)36:1<1::aid-cyto1>3.3.co;2-g

Source DB:  PubMed          Journal:  Cytometry        ISSN: 0196-4763


  1 in total

1.  ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations.

Authors:  Quan Liu; Isabella M Gaeta; Mengyang Zhao; Ruining Deng; Aadarsh Jha; Bryan A Millis; Anita Mahadevan-Jansen; Matthew J Tyska; Yuankai Huo
Journal:  Comput Biol Med       Date:  2021-05-31       Impact factor: 6.698

  1 in total

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