Automatic embryonic stem cells detection and counting method in fluorescence microscopy images

Author

Faustino, Geisa M. ; Gattass, Marcelo ; Rehen, Stevens ; De Lucena, Carlos J P

Author_Institution

Dept. of Inf., PUC-Rio, Brazil

fYear

2009

fDate

June 28 2009-July 1 2009

Firstpage

799

Lastpage

802

Abstract

In this paper, we propose an automatic embryonic stem cell detection and counting method for fluorescence microscopy images. We handle with pluripotent stem cells cultured in vitro. Our approach uses the luminance information to generate a graph-based image representation. Next, a graph mining process is used to detect the cells. The proposed method was extensively tested on a database of 92 images and specialists validated the results. We obtained an average precision, recall and F-measure of 93.97%, 92.04% and 92.87%, respectively.

Keywords

bio-optics; biological techniques; biology computing; cellular biophysics; data mining; fluorescence; graph theory; image representation; optical microscopy; F-measure; automatic embryonic stem cell detection; fluorescence microscopy image; graph mining process; graph-based image representation; in vitro pluripotent stem cell culture; luminance information; Biomedical informatics; Embryo; Fluorescence; Image databases; Image generation; Image representation; In vitro; Microscopy; Stem cells; Testing; Automated cell counting; fluorescence microscopy images; graph mining; graph-based image representation;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on

Conference_Location

Boston, MA

ISSN

1945-7928

Print_ISBN

978-1-4244-3931-7

Electronic_ISBN

1945-7928

Type

conf

DOI

10.1109/ISBI.2009.5193170

Filename

5193170