Quantitative identification of teratoma tissues formed by human embryonic stem cells with TeratomEye |
| |
| Authors: | Steve Kah Weng Oh Pauline Chua Koh Lin Foon Emily Ng Angela Chin Andre Boon Hwa Choo Rajagopalan Srinivasan |
| |
| Affiliation: | (1) Stem Cell Group, Bioprocessing Technology Institute, A*STAR (Agency for Science, Technology and Research), 20 Biopolis Way #06 - 01 Centros, Singapore, 138668, Singapore;(2) Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore, 117576, Singapore |
| |
| Abstract: | An automated vision system, TeratomEye, was developed for the identification of three representative tissue types: muscle, gut and neural epithelia which are commonly found in teratomas formed from human embryonic stem cells. Muscle tissue, a common structure was identified with an accuracy of 90.3% with high specificity and sensitivity greater than 90%. Gut epithelia were identified with an accuracy of 87.5% with specificity and sensitivity greater than 80%. Neural epithelia which were the most difficult structures to distinguish gave an accuracy of 47.6%. TeratomEye is therefore useful for the automated identification of differentiated tissues in teratoma sections. |
| |
| Keywords: | Human embryonic stem cells Identification Stem cells Teratoma |
| 本文献已被 SpringerLink 等数据库收录！ |
|
