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Image‐Predicated Sorting of Adherent Cells Using Photopatterned Hydrogels
Author(s) -
Kovac Joseph,
Gerardin Ylaine,
Voldman Joel
Publication year - 2013
Publication title -
advanced healthcare materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.288
H-Index - 90
eISSN - 2192-2659
pISSN - 2192-2640
DOI - 10.1002/adhm.201200196
Subject(s) - self healing hydrogels , sorting , computer science , cell sorting , nanotechnology , materials science , artificial intelligence , biomedical engineering , computer vision , cell , chemistry , engineering , polymer chemistry , algorithm , biochemistry
Using photopatterned hydrogels and selective cell encapsulation , populations of adherent cells are examined using microscopy and sorted into viable sub‐populations predicated on their imaged phenotypes. The inexpensive method utilizes commercial reagents and equipment available in many labs, making image‐predicated cell sorting an accessible technique for a large number of individual labs.