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
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

100860

Informations 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

Nat Methods. 2012 Jul;9(7):671-5
pubmed: 22930834
Plant J. 2013 Aug;75(4):642-55
pubmed: 23647236
Plant Physiol. 2015 Sep;169(1):96-114
pubmed: 25941315
BMC Plant Biol. 2019 Aug 30;19(1):380
pubmed: 31470797

Auteurs

Giacomo Mele (G)

Institute for Agricultural and Forest Systems in the Mediterranean - National Research Council, ISAFOM-CNR, Via Patacca 85, 80056 Ercolano, Italy.

Laura Gargiulo (L)

Institute for Agricultural and Forest Systems in the Mediterranean - National Research Council, ISAFOM-CNR, Via Patacca 85, 80056 Ercolano, Italy.

Classifications MeSH