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Dye free automated cell counting and analysis
Author(s) -
Dehlinger Dietrich,
Suer Lynn,
Elsheikh Maher,
Peña José,
NaraghiArani Pejman
Publication year - 2013
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.24757
Subject(s) - cardinal point , flatness (cosmology) , tilt (camera) , plane (geometry) , optics , monolayer , intensity (physics) , computer vision , artificial intelligence , materials science , computer science , mathematics , physics , geometry , nanotechnology , cosmology , quantum mechanics
We have developed an automated cell counting method that uses images obtained at multiple focal heights to enumerate cells in confluent culture. By taking the derivative of image intensity with respect to focal height using two complementary images, we are able to count high‐density monolayers of cells over a large image area. Our method resists errors arising from variability in the focal plane caused by flatness or tilt non‐uniformities with a minimal amount of focal plane alignment, allowing the automated collection of images across a large area. Biotechnol. Bioeng. © 2013 Wiley Periodicals, Inc.