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• W909917208 abstract "In order to extend the analysis of the datasets produced by lensfree video microscopy we have implemented a cell tracking algorithm to combine and correlate cell motility to the previously devised metrics to quantify e.g. cell adhesion and spreading, cell division, and cell death. In this paper we present the assessment of these new methodology on experiments involving three different cell lines, namely 3T3 fibroblast cells, primary HUVEC cells and macrophage THP1 cells. We demonstrate that the good spatial resolution and the fast frame rate obtained with of our lensfree video microscope allows standard cell tracking algorithm to be computed. The results is the possibility to analyze thousands of cells successfully tracked over tens of hours. The results is the possibility to compare different cell cultures in terms of e.g. cell motility and cell confinement ration. Ultimately we managed to measure the doubling time at single cell level over a large number of N=235 cells tracked over two days." @default.
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• W909917208 date "2015-07-16" @default.
• W909917208 modified "2023-09-25" @default.
• W909917208 title "Lensfree video microscopy: high throughput monitoring and cell tracking of 2D cell cultures" @default.
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• W909917208 doi "https://doi.org/10.1117/12.2183468" @default.
• W909917208 hasPublicationYear "2015" @default.
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