Automatic cell identification and counting of leaf epidermis for plant phenotyping.
ImageJ
Leaf image analysis
Leaf optical microscopy
Journal
MethodsX
ISSN: 2215-0161
Titre abrégé: MethodsX
Pays: Netherlands
ID NLM: 101639829
Informations de publication
Date de publication:
2020
2020
Historique:
received:
25
11
2019
accepted:
07
03
2020
entrez:
11
4
2020
pubmed:
11
4
2020
medline:
11
4
2020
Statut:
epublish
Résumé
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.•The leaves are pressed between two glass slides without any pre-treatment and digital micrographs are acquired under incident light.•Epidermal cells are automatically identified and counted by means of a "macro" of ImageJ•The cell count obtained applying the procedure of image processing is very close to that obtainable by manual cell identification.
Identifiants
pubmed: 32274336
doi: 10.1016/j.mex.2020.100860
pii: S2215-0161(20)30079-0
pii: 100860
pmc: PMC7132086
doi:
Types de publication
Journal Article
Langues
eng
Pagination
100860Informations de copyright
© 2020 The Author(s).
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Références
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