Title :
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
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;
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
DOI :
10.1109/HISB.2012.25
