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01-02-2012 | Original Article

Counting touching cell nuclei using fast ellipse detection to assess in vitro cell characteristics: a feasibility study

Authors: Dan Dominik Brüllmann, Andreas Pabst, Karl M. Lehmann, Thomas Ziebart, Marc O. Klein, Bernd d’Hoedt

Published in: Clinical Oral Investigations | Issue 1/2012

Abstract

In this article, we describe a new image analysis software that allows rapid segmentation and separation of fluorescently stained cell nuclei using a fast ellipse detection algorithm. Detection time ranged between 1.84 and 3.14 s. Segmentation results were compared with manual evaluation. The achieved over-segmentation rate was 0.11 (0.1 double counts and 0.01 false positive detections), and the under-segmentation rate was of 0.03 over all images. We demonstrate the applicability of the proposed algorithm to automated counting of fluorescent-labeled cell nuclei and to tissue characterization. Moreover, the performance of the proposed algorithm is compared with preexisting automated image analysis techniques described by others.

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Title: Counting touching cell nuclei using fast ellipse detection to assess in vitro cell characteristics: a feasibility study
Authors: Dan Dominik Brüllmann
Andreas Pabst
Karl M. Lehmann
Thomas Ziebart
Marc O. Klein
Bernd d’Hoedt
Publication date: 01-02-2012
Publisher: Springer-Verlag
Published in: Clinical Oral Investigations / Issue 1/2012
Print ISSN: 1432-6981
Electronic ISSN: 1436-3771
DOI: https://doi.org/10.1007/s00784-010-0479-6

At a glance: The STEP trials

Springer Medicine

Counting touching cell nuclei using fast ellipse detection to assess in vitro cell characteristics: a feasibility study

Abstract

At a glance: The STEP trials

Springer Medicine

Abstract

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