Cargando…
Imaging Flow Cytometry as a Quick and Effective Identification Technique of Pollen Grains from Betulaceae, Oleaceae, Urticaceae and Asteraceae
Despite the continuous and intensive development of laboratory techniques, a light microscope is still the most common tool used in pollen grains differentiation. However, microscopy is time-consuming and needs well-educated and experienced researchers. Other currently used techniques can be categor...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870286/ https://www.ncbi.nlm.nih.gov/pubmed/35203248 http://dx.doi.org/10.3390/cells11040598 |
_version_ | 1784656706218754048 |
---|---|
author | Gierlicka, Iwona Kasprzyk, Idalia Wnuk, Maciej |
author_facet | Gierlicka, Iwona Kasprzyk, Idalia Wnuk, Maciej |
author_sort | Gierlicka, Iwona |
collection | PubMed |
description | Despite the continuous and intensive development of laboratory techniques, a light microscope is still the most common tool used in pollen grains differentiation. However, microscopy is time-consuming and needs well-educated and experienced researchers. Other currently used techniques can be categorised as images and non-images analysis, but each has certain limitations. We propose a new approach to differentiate pollen grains using the Imaging Flow Cytometry (IFC) technique. It allows for high-throughput fluorescence data recording, which, in contrast to the standard FC, also enables real-time control of the results thanks to the possibility of digital image recording of cells flowing through the measuring capillary. The developed method allows us to determine the characteristics of the pollen grains population based on the obtained fluorescence data, using various combinations of parameters available in the IDEAS software, which can be analysed on different fluorescence channels. On this basis, we distinguished pollen grains both between and within different genera belonging to the Betulaceae, Oleaceae, Urticaceae and Asteraceae families. Thereby, we prove that the proposed methodology is sufficient for accurate, fast, and cost-effective identification and potentially can be used in the routine analysis of allergenic pollen grains. |
format | Online Article Text |
id | pubmed-8870286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88702862022-02-25 Imaging Flow Cytometry as a Quick and Effective Identification Technique of Pollen Grains from Betulaceae, Oleaceae, Urticaceae and Asteraceae Gierlicka, Iwona Kasprzyk, Idalia Wnuk, Maciej Cells Communication Despite the continuous and intensive development of laboratory techniques, a light microscope is still the most common tool used in pollen grains differentiation. However, microscopy is time-consuming and needs well-educated and experienced researchers. Other currently used techniques can be categorised as images and non-images analysis, but each has certain limitations. We propose a new approach to differentiate pollen grains using the Imaging Flow Cytometry (IFC) technique. It allows for high-throughput fluorescence data recording, which, in contrast to the standard FC, also enables real-time control of the results thanks to the possibility of digital image recording of cells flowing through the measuring capillary. The developed method allows us to determine the characteristics of the pollen grains population based on the obtained fluorescence data, using various combinations of parameters available in the IDEAS software, which can be analysed on different fluorescence channels. On this basis, we distinguished pollen grains both between and within different genera belonging to the Betulaceae, Oleaceae, Urticaceae and Asteraceae families. Thereby, we prove that the proposed methodology is sufficient for accurate, fast, and cost-effective identification and potentially can be used in the routine analysis of allergenic pollen grains. MDPI 2022-02-09 /pmc/articles/PMC8870286/ /pubmed/35203248 http://dx.doi.org/10.3390/cells11040598 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Gierlicka, Iwona Kasprzyk, Idalia Wnuk, Maciej Imaging Flow Cytometry as a Quick and Effective Identification Technique of Pollen Grains from Betulaceae, Oleaceae, Urticaceae and Asteraceae |
title | Imaging Flow Cytometry as a Quick and Effective Identification Technique of Pollen Grains from Betulaceae, Oleaceae, Urticaceae and Asteraceae |
title_full | Imaging Flow Cytometry as a Quick and Effective Identification Technique of Pollen Grains from Betulaceae, Oleaceae, Urticaceae and Asteraceae |
title_fullStr | Imaging Flow Cytometry as a Quick and Effective Identification Technique of Pollen Grains from Betulaceae, Oleaceae, Urticaceae and Asteraceae |
title_full_unstemmed | Imaging Flow Cytometry as a Quick and Effective Identification Technique of Pollen Grains from Betulaceae, Oleaceae, Urticaceae and Asteraceae |
title_short | Imaging Flow Cytometry as a Quick and Effective Identification Technique of Pollen Grains from Betulaceae, Oleaceae, Urticaceae and Asteraceae |
title_sort | imaging flow cytometry as a quick and effective identification technique of pollen grains from betulaceae, oleaceae, urticaceae and asteraceae |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870286/ https://www.ncbi.nlm.nih.gov/pubmed/35203248 http://dx.doi.org/10.3390/cells11040598 |
work_keys_str_mv | AT gierlickaiwona imagingflowcytometryasaquickandeffectiveidentificationtechniqueofpollengrainsfrombetulaceaeoleaceaeurticaceaeandasteraceae AT kasprzykidalia imagingflowcytometryasaquickandeffectiveidentificationtechniqueofpollengrainsfrombetulaceaeoleaceaeurticaceaeandasteraceae AT wnukmaciej imagingflowcytometryasaquickandeffectiveidentificationtechniqueofpollengrainsfrombetulaceaeoleaceaeurticaceaeandasteraceae |