Automated Cell Segmentation of Fission Yeast Phase Images - Segmenting Cells from Light Microscopy Images

O'Brien, Jennifer and Hoque, Sanaul and Mulvihill, Daniel P. and Sirlantzis, Konstantinos (2017) Automated Cell Segmentation of Fission Yeast Phase Images - Segmenting Cells from Light Microscopy Images. In: Silveira, Margarida and Fred, Ana and Gamboa, Hugo and Vaz, Mario, eds. Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies. Scitepress, pp. 92-99. ISBN 9789897582158. (doi:https://doi.org/10.5220/0006149100920099) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Official URL
http://dx.doi.org/10.5220/0006149100920099

Abstract

Robust image analysis is an important aspect of all cell biology studies. The geometrics of cells are critical for developing an understanding of biological processes. Time constraints placed on researchers lead to a narrower focus on what data are collected and recorded from an experiment, resulting in a loss of data. Currently, preprocessing of microscope images is followed by the utilisation and parameterisation of inbuilt functions of various softwares to obtain information. Using the fission yeast, Schizosaccharomyes pombe, we propose a novel, fully automated, segmentation software for cells with a significantly lower rate of segmentation errors than PombeX with the same dataset.

Item Type: Book section
Uncontrolled keywords: Automated Segmentation, Light Microscopy, Fission Yeast
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Sanaul Hoque
Date Deposited: 09 Sep 2017 13:12 UTC
Last Modified: 13 Sep 2017 14:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/63353 (The current URI for this page, for reference purposes)
Hoque, Sanaul: https://orcid.org/0000-0001-8627-3429
Mulvihill, Daniel P.: https://orcid.org/0000-0003-2502-5274
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