Non-dynamic Blebbing Single Unattached Human Embryonic Stem Cell Detection in the Complex Cell Clusters

Human Embryonic Stem Cells (HESCs) have an important role in the futuristic medicine. A regenerative medicine with stem cell can be used to treat various diseases such as cancer, Parkinson’s disease, Huntington’s disease, Type 1 diabetes mellitus etc. Biologists are interested in the number of non-dynamic blebbing single unattached HESCs (NDBSU-HESCs) in each assay. The statistics serve as part of the analytical data on each chemical agent’s attribution to the chemical reaction of the single unattached HESCs. However, there are lacks of current methods to help biologists to study the HESCs in large volume. As the result, we propose a method for NDBSU-HESC detection by using multiple trained classifiers. Our method uses a process of elimination concept. Each classifier eliminates unmatched properties of the NDBSU-HESCs. The paper validates our method with a video captured from the BioStation IM.