Counting touching cell nuclei using fast ellipse detection to assess in vitro cell characteristics: a feasibility study
- نوع فایل : کتاب
- زبان : انگلیسی
- مؤلف : Dan Dominik Brüllmann & Andreas Pabst & Karl M. Lehmann & Thomas Ziebart & Marc O. Klein & Bernd d’Hoed
- چاپ و سال / کشور: 2010
Description
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 fluorescentlabeled cell nuclei and to tissue characterization. Moreover, the performance of the proposed algorithm is compared with preexisting automated image analysis techniques described by others.
Clin Oral Invest DOI 10.1007/s00784-010-0479-6 Received: 20 May 2010 / Accepted: 28 September 2010