학술논문

Computer vision for human stem cell derived cardiomyocyte classification: The induced pluripotent vs embryonic stem cell case study
Document Type
Conference
Source
2011 Computing in Cardiology Computing in Cardiology, 2011. :569-572 Sep, 2011
Subject
Computing and Processing
Bioengineering
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Motion pictures
Protocols
Feature extraction
Support vector machines
Stem cells
Humans
Drugs
Language
ISSN
0276-6574
2325-8853
Abstract
Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) represent a potential valuable alternative to human embryonic stem cell-derived cardiomyocytes (hESC-CMs) for the lack of ethical issues and their patient-specificity. Recent studies showed hiPSC-CMs behave like hESC-CMs in terms of membrane currents, contractility and frequency of spontaneous pacing but their similarities need to be studied more. In this work we applied a well tested image processing approach based on texture feature extraction (local binary patterns, Haralick features and threshold adjacency statistics) and classification by support vector machines to hiPSC-CMs and hESC-CMs images from contrast phase microscopy. Our results suggested a good discrimination power of the chosen feature set meaning that some structural differences may still remain between the two cell classes.