Automated Segmentation of Cell Structure in Microscopy Images

Nicole Kerrison, Andy Bulpitt

2014

Abstract

Understanding cell movement is important in helping to prevent and cure damage and disease. Increasingly, this study is performed by obtaining video footage of cells in vitro. However, as the number of images obtained for cellular analysis increases, so does the need for automated segmentation of these images, since this is difficult and time consuming to perform manually. We propose to automate the process of segmenting all parts of a cell visible in DIC microscopy video frames by providing an efficient method for correcting the lighting bias and a novel combination of techniques to detect different cell areas and isolate parts of the cell vital to their movement. To the best of our knowledge we contribute the only method able to automatically detect the thin cellular membranes in DIC images. We show that the method can be used to isolate features in order to detect variations vital to motility in differently affected cells.

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Paper Citation


in Harvard Style

Kerrison N. and Bulpitt A. (2014). Automated Segmentation of Cell Structure in Microscopy Images . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-009-3, pages 98-105. DOI: 10.5220/0004659800980105


in Bibtex Style

@conference{visapp14,
author={Nicole Kerrison and Andy Bulpitt},
title={Automated Segmentation of Cell Structure in Microscopy Images},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={98-105},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004659800980105},
isbn={978-989-758-009-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)
TI - Automated Segmentation of Cell Structure in Microscopy Images
SN - 978-989-758-009-3
AU - Kerrison N.
AU - Bulpitt A.
PY - 2014
SP - 98
EP - 105
DO - 10.5220/0004659800980105