Automated Human Embryonic Stem Cell Detection

Author

Guan, Benjamin X. ; Bhanu, Bir ; Talbot, Prudence ; Lin, Sabrina

Author_Institution

Center for Res. in Intell. Syst., Univ. of California, Riverside, Riverside, CA, USA

fYear

2012

fDate

27-28 Sept. 2012

Firstpage

75

Lastpage

82

Abstract

This paper proposes an automated detection method with simple algorithm for detecting human embryonic stem cell (hESC) regions in phase contrast images. The algorithm uses both the spatial information as well as the intensity distribution for cell region detection. The method is modeled as a mixture of two Gaussians; hESC and substrate regions. The paper validates the method with various videos acquired under different microscope objectives.

Keywords

Gaussian processes; biomedical optical imaging; cellular biophysics; data acquisition; image segmentation; medical image processing; optical microscopy; substrates; Gaussian mixture; automated human embryonic stem cell detection; image segmentation; intensity distribution; microscope objectives; optical microscopy; phase contrast images; spatial information; substrate regions; video acquisition; Equations; Image segmentation; Indexes; Mathematical model; Stem cells; Substrates; Videos; human embryonic stem cell (hESC); mixture of Gaussians; substrate;

fLanguage

English

Publisher

ieee

Conference_Titel

Healthcare Informatics, Imaging and Systems Biology (HISB), 2012 IEEE Second International Conference on

Conference_Location

San Diego, CA

Print_ISBN

978-1-4673-4803-4

Type

conf

DOI

10.1109/HISB.2012.25

Filename

6366200