An image analysis program and protocol for the identification and enumeration of live versus dead cells of the yeast-like fungus Aureobasidium pullulans was developed for both populations on microscope slides and leaf surfaces. Live cells took up CellTracker Blue(TM), while nonviable cells stained with DEAD Red(TM). Image analysis macro programs running under Optimas(TM) software were used to acquire images and to differentiate and enumerate viable from nonviable cells. The software was capable of discriminating green as a third parameter for identification and quantification of green fluorescent protein-expressing cells in a wild-type population.
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Univ Iowa, Dept Orthoped & Rehabil, Iowa City, IA USA
Univ Iowa, Dept Biomed Engn, Iowa City, IA 52242 USAUniv Iowa, Dept Orthoped & Rehabil, Iowa City, IA USA
Yang, Linjun
Brouillette, Marc J.
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Univ Iowa, Dept Orthoped & Rehabil, Iowa City, IA USAUniv Iowa, Dept Orthoped & Rehabil, Iowa City, IA USA
Brouillette, Marc J.
Coleman, Mitchell C.
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Univ Iowa, Dept Orthoped & Rehabil, Iowa City, IA USA
Univ Iowa, Dept Radiat Oncol, Iowa City, IA USAUniv Iowa, Dept Orthoped & Rehabil, Iowa City, IA USA
Coleman, Mitchell C.
Kluz, Paige N.
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Univ Iowa, Dept Orthoped & Rehabil, Iowa City, IA USAUniv Iowa, Dept Orthoped & Rehabil, Iowa City, IA USA
Kluz, Paige N.
Goetz, Jessica E.
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Univ Iowa, Dept Orthoped & Rehabil, Iowa City, IA USA
Univ Iowa, Dept Biomed Engn, Iowa City, IA 52242 USAUniv Iowa, Dept Orthoped & Rehabil, Iowa City, IA USA