Calibration of a DG–model for fluorescence microscopy

Christian Valdemar Hansen

Publikation: Konferencebidrag uden forlag/tidsskriftPosterForskning

Resumé

It is well known that diseases like Alzheimer, Parkinson, Corea Huntington and Arteriosclerosis are caused by a jam in intracellular membrane traffic [2]. Hence to improve treatment, a quantitative analysis of intracellular transport is essential. Fluorescence loss in photobleaching (FLIP) is an impor- tant and widely used microscopy method for visualization of molecular transport processes in living cells. Thus, the motivation for making an automated reliable analysis of the image data is high. In this contribution, we present and comment on the calibration of a Discontinuous–Galerkin simulator [3, 4] on segmented cell images. The cell geometry is extracted from FLIP images using the Chan– Vese active contours algorithm [1] while the DG simulator is implemented in FEniCS [5]. Simulated FLIP sequences based on optimal parameters from the PDE model are presented, with an overall goal of making an automated analysis tool for FLIP images.
OriginalsprogDansk
Publikationsdato22. jun. 2017
StatusUdgivet - 22. jun. 2017
Begivenhed13th Annual Meeting of the International Symposium on Integrative Bioinformatics - University of Southern Denmark, Campusvej 55 5230 Odense, Odense, Danmark
Varighed: 22. jun. 201724. jun. 2017
Konferencens nummer: 13
http://www.imbio.de/ib2017/program.php

Konference

Konference13th Annual Meeting of the International Symposium on Integrative Bioinformatics
Nummer13
LokationUniversity of Southern Denmark, Campusvej 55 5230 Odense
LandDanmark
ByOdense
Periode22/06/201724/06/2017
Internetadresse

Citer dette

Hansen, C. V. (2017). Calibration of a DG–model for fluorescence microscopy. Poster session præsenteret på 13th Annual Meeting of the International Symposium on Integrative Bioinformatics, Odense, Danmark.
Hansen, Christian Valdemar. / Calibration of a DG–model for fluorescence microscopy. Poster session præsenteret på 13th Annual Meeting of the International Symposium on Integrative Bioinformatics, Odense, Danmark.
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title = "Calibration of a DG–model for fluorescence microscopy",
abstract = "It is well known that diseases like Alzheimer, Parkinson, Corea Huntington and Arteriosclerosis are caused by a jam in intracellular membrane traffic [2]. Hence to improve treatment, a quantitative analysis of intracellular transport is essential. Fluorescence loss in photobleaching (FLIP) is an impor- tant and widely used microscopy method for visualization of molecular transport processes in living cells. Thus, the motivation for making an automated reliable analysis of the image data is high. In this contribution, we present and comment on the calibration of a Discontinuous–Galerkin simulator [3, 4] on segmented cell images. The cell geometry is extracted from FLIP images using the Chan– Vese active contours algorithm [1] while the DG simulator is implemented in FEniCS [5]. Simulated FLIP sequences based on optimal parameters from the PDE model are presented, with an overall goal of making an automated analysis tool for FLIP images.",
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Hansen, CV 2017, 'Calibration of a DG–model for fluorescence microscopy' 13th Annual Meeting of the International Symposium on Integrative Bioinformatics, Odense, Danmark, 22/06/2017 - 24/06/2017, .

Calibration of a DG–model for fluorescence microscopy. / Hansen, Christian Valdemar.

2017. Poster session præsenteret på 13th Annual Meeting of the International Symposium on Integrative Bioinformatics, Odense, Danmark.

Publikation: Konferencebidrag uden forlag/tidsskriftPosterForskning

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AB - It is well known that diseases like Alzheimer, Parkinson, Corea Huntington and Arteriosclerosis are caused by a jam in intracellular membrane traffic [2]. Hence to improve treatment, a quantitative analysis of intracellular transport is essential. Fluorescence loss in photobleaching (FLIP) is an impor- tant and widely used microscopy method for visualization of molecular transport processes in living cells. Thus, the motivation for making an automated reliable analysis of the image data is high. In this contribution, we present and comment on the calibration of a Discontinuous–Galerkin simulator [3, 4] on segmented cell images. The cell geometry is extracted from FLIP images using the Chan– Vese active contours algorithm [1] while the DG simulator is implemented in FEniCS [5]. Simulated FLIP sequences based on optimal parameters from the PDE model are presented, with an overall goal of making an automated analysis tool for FLIP images.

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Hansen CV. Calibration of a DG–model for fluorescence microscopy. 2017. Poster session præsenteret på 13th Annual Meeting of the International Symposium on Integrative Bioinformatics, Odense, Danmark.