Automated image analysis for quantification of reactive oxygen species in plant leaves

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Automated image analysis for quantification of reactive oxygen species in plant leaves

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作者：Joanna Sekulska-Nalewajko^a ; ^{jsekulska@kis.p.lodz.pl" class="auth_mail" title="E-mail the corresponding author} ; Jarosław Gocławski^a ; ^{jgoclaw@kis.p.lodz.pl" class="auth_mail" title="E-mail the corresponding author} ; Joanna Chojak-Koźniewska^b ; ^{jchojak@biol.uni.lodz.pl" class="auth_mail" title="E-mail the corresponding author} ; Elżbieta Kuźniak^b ; ^{elkuz@biol.uni.lodz.pl" class="auth_mail" title="E-mail the corresponding author}
关键词：Histochemical ROS detection ; Hydrogen peroxide ; Superoxide anion radical ; ImageJ ; Image segmentation ; Weka classifier
刊名：Methods
出版年：2016
出版时间：15 October 2016
年：2016
卷：109
期：Complete
页码：114-122
全文大小：2438 K

文摘

•: A method for the assessment of ROS production in DAB/NBT stained leaves is proposed.
•: Three image types defined by staining and background color are considered.
•: The method uses supervised machine learning with manually prepared ROS patterns.
•: The algorithm is a JavaScript macro in the public domain Fiji (ImageJ) environment.

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