Please use this identifier to cite or link to this item: https://doi.org/10.1007/s10529-009-9928-1
DC FieldValue
dc.titleQuantitative identification of teratoma tissues formed by human embryonic stem cells with TeratomEye
dc.contributor.authorOh, S.K.W.
dc.contributor.authorChua, P.
dc.contributor.authorFoon, K.L.
dc.contributor.authorNg, E.
dc.contributor.authorChin, A.
dc.contributor.authorChoo, A.B.H.
dc.contributor.authorSrinivasan, R.
dc.date.accessioned2014-06-17T07:47:46Z
dc.date.available2014-06-17T07:47:46Z
dc.date.issued2009-05
dc.identifier.citationOh, S.K.W., Chua, P., Foon, K.L., Ng, E., Chin, A., Choo, A.B.H., Srinivasan, R. (2009-05). Quantitative identification of teratoma tissues formed by human embryonic stem cells with TeratomEye. Biotechnology Letters 31 (5) : 653-658. ScholarBank@NUS Repository. https://doi.org/10.1007/s10529-009-9928-1
dc.identifier.issn01415492
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/64483
dc.description.abstractAn 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/s10529-009-9928-1
dc.sourceScopus
dc.subjectHuman embryonic stem cells
dc.subjectIdentification
dc.subjectStem cells
dc.subjectTeratoma
dc.typeArticle
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.doi10.1007/s10529-009-9928-1
dc.description.sourcetitleBiotechnology Letters
dc.description.volume31
dc.description.issue5
dc.description.page653-658
dc.description.codenBILED
dc.identifier.isiut000265084500006
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