학술논문

Single-cell detection and classification in phase contrast images
Document Type
Conference
Source
Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine Information Technology and Applications in Biomedicine (ITAB), 2010 10th IEEE International Conference on. :1-4 Nov, 2010
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Robotics and Control Systems
Image segmentation
Biomedical imaging
Phase measurement
Biology
Language
ISSN
2168-2194
2168-2208
Abstract
This paper presents a method for the fully automated segmentation, classification and quantification of the morphology of individual cells in phase-contrast images. We utilize this method to calculate automatically the confluence of the corresponding cell culture and to quantify the degree of toxic damage of each individual cell after phenol incubation. These results are compared to standard cytotoxicity assays.