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Automatic cell identification and counting of leaf epidermis for plant phenotyping

Articolo
Data di Pubblicazione:
2020
Abstract:
The counting of leaf epidermal cells is useful to study the plant developmental changes produced by environmental or genetic factors. The scanning electron microscopy can be used, but it is expensive and time-consuming. Methods using optical microscopy are also available, but they still require leaves pre-treatment and manual cell identification. We propose a quick and simple method for counting leaf epidermal cells without leaf treatments and based on automated cell identification and marking. It allows to highly improve the representativeness of leaf epidermis screening, aiming at a high-throughput plant phenotyping approach. oThe leaves are pressed between two glass slides without any pre-treatment and digital micrographs are acquired under incident light. oEpidermal cells are automatically identified and counted by means of a "macro" of ImageJ oThe cell count obtained applying the procedure of image processing is very close to that obtainable by manual cell identification.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Leaf image analysis; Leaf optical microscopy; ImageJ
Elenco autori:
Mele, Giacomo; Gargiulo, Laura
Autori di Ateneo:
GARGIULO LAURA
MELE GIACOMO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/360009
Pubblicato in:
METHODSX (AMSTERDAM)
Journal
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URL

https://doi.org/10.1016/j.mex.2020.100860
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