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Updated: Jun 8, 2026
Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins
Published on: November 17, 2016
Counting touching cell nuclei using fast ellipse detection to assess in vitro cell characteristics: a feasibility
Dan Dominik Brüllmann1, Andreas Pabst, Karl M Lehmann
1Department of Oral Surgery, University Medical Center of Johannes Gutenberg University Mainz, Augustusplatz 2, 55131, Mainz, Germany. bruellmd@mail.uni-mainz.de
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.
