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

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%...

Full description

Saved in:
Bibliographic Details
Published in:Biotechnology letters 2009-05, Vol.31 (5), p.653-658
Main Authors: Oh, Steve Kah Weng, Chua, Pauline, Foon, Koh Lin, Ng, Emily, Chin, Angela, Choo, Andre Boon Hwa, Srinivasan, Rajagopalan
Format: Article
Language:English
Subjects:
Applied Microbiology
Biochemistry
Biological and medical sciences
Biomedical and Life Sciences
Biomedical engineering
Biotechnology
Cell Differentiation
Cytological Techniques - methods
Embryonic Stem Cells - cytology
Eyes & eyesight
Fundamental and applied biological sciences. Psychology
Humans
Intestinal Mucosa - cytology
Life Sciences
Microbiology
Muscle Cells - cytology
Neuroepithelial Cells - cytology
Original Research Paper
Stem cells
Tissue engineering
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0141-5492
1573-6776
DOI:10.1007/s10529-009-9928-1