Literature DB >> 19169887

Quantitative identification of teratoma tissues formed by human embryonic stem cells with TeratomEye.

Steve Kah Weng Oh1, Pauline Chua, Koh Lin Foon, Emily Ng, Angela Chin, Andre Boon Hwa Choo, Rajagopalan Srinivasan.   

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.

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Year:  2009        PMID: 19169887     DOI: 10.1007/s10529-009-9928-1

Source DB:  PubMed          Journal:  Biotechnol Lett        ISSN: 0141-5492            Impact factor:   2.461


  2 in total

1.  Semiquantitative histopathology and 3D magnetic resonance microscopy as collaborative platforms for tissue identification and comparison within teratomas derived from pedigreed primate embryonic stem cells.

Authors:  Carlos A Castro; Ahmi Ben-Yehudah; John A Ozolek; Parker H Mills; Carrie J Redinger; Jocelyn D Mich-Basso; David A McFarland; Stacie L Oliver; Eric T Ahrens; Gerald Schatten
Journal:  Stem Cell Res       Date:  2010-08-06       Impact factor: 2.020

2.  Pluripotent stem cells as a source of osteoblasts for bone tissue regeneration.

Authors:  Hui Zhu; Takaharu Kimura; Srilatha Swami; Joy Y Wu
Journal:  Biomaterials       Date:  2018-02-05       Impact factor: 12.479

  2 in total

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