Publication detail

Identification of pollen taxa by different microscopy techniques

POSPIECH, M. JAVŮRKOVÁ, Z. HRABEC, P. ŠTARHA, P. LJASOVSKÁ, S. BEDNÁŘ, J. TREMLOVÁ, B.

Original Title

Identification of pollen taxa by different microscopy techniques

Type

journal article in Web of Science

Language

English

Original Abstract

Melissopalynology is an important analytical method to identify botanical origin of honey. Pollen grain recognition is commonly performed by visual inspection by a trained person. An alternative method for visual inspection is automated pollen analysis based on the image analysis technique. Image analysis transfers visual information to mathematical descriptions. In this work, the suitability of three microscopic techniques for automatic analysis of pollen grains was studied. 2D and 3D morphological characteristics, textural and colour features, and extended depth of focus characteristics were used for the pollen discrimination. In this study, 7 botanical taxa and a total of 2482 pollen grains were evaluated. The highest correct classification rate of 93.05% was achieved using the phase contrast microscopy, followed by the dark field microscopy reaching 91.02%, and finally by the light field microscopy reaching 88.88%. The most significant discriminant characteristics were morphological (2D and 3D) and colour characteristics. Our results confirm the potential of using automatic pollen analysis to discriminate pollen taxa in honey. This work provides the basis for further research where the taxa dataset will be increased, and new descriptors will be studied.

Keywords

light-microscopy; field contrast; honey; shape; classification; automation; quantification; features; system; images

Authors

POSPIECH, M.; JAVŮRKOVÁ, Z.; HRABEC, P.; ŠTARHA, P.; LJASOVSKÁ, S.; BEDNÁŘ, J.; TREMLOVÁ, B.

Released

1. 9. 2021

Publisher

PLOS

Location

SAN FRANCISCO

ISBN

1932-6203

Periodical

PLOS ONE

Year of study

16

Number

9

State

United States of America

Pages from

1

Pages to

25

Pages count

25

URL

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0256808

Full text in the Digital Library

http://hdl.handle.net/11012/204046

BibTex

@article{BUT177304,
  author="Matej {Pospiech} and Zdeňka {Javůrková} and Pavel {Hrabec} and Pavel {Štarha} and Simona {Ljasovská} and Josef {Bednář} and Bohuslava {Tremlová}",
  title="Identification of pollen taxa by different microscopy techniques",
  journal="PLOS ONE",
  year="2021",
  volume="16",
  number="9",
  pages="1--25",
  doi="10.1371/journal.pone.0256808",
  issn="1932-6203",
  url="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0256808"
}