Cargando…
Flow system for automated analysis of maize pollen.
Pollen grains are haploid gametes of uniform shape and size, and can be obtained in large quantity. If appropriate traits are used, they can be an excellent material for investigation of rare but important biological events like intracistronic recombinations or mutations induced by very low level of...
Autor principal: | |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
1981
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1568644/ https://www.ncbi.nlm.nih.gov/pubmed/6161807 |
_version_ | 1782130056592621568 |
---|---|
author | Amano, E |
author_facet | Amano, E |
author_sort | Amano, E |
collection | PubMed |
description | Pollen grains are haploid gametes of uniform shape and size, and can be obtained in large quantity. If appropriate traits are used, they can be an excellent material for investigation of rare but important biological events like intracistronic recombinations or mutations induced by very low level of mutagens. This advantage will be further improved, if the laborious counting and examination can be made automatically. For automation of pollen analysis, techniques of flow analysis and image analysis would be applicable. Flow analysis with a optical detector was tested using maize pollen. Pollen grains were transported by gentle suction through a glass capillary which was placed under a microscope. Interruptions of the light path by pollen grains were detected by a silicon photocell after optical magnification and converted into electric pulses. The frequency distribution of pulse height was examined by a multichannel pulse height analyzer. 10(6) pollen grains would be counted and classified within about 30 min for a pollen suspension dilute enough for separation of each pulse. The flow system tested seems promising for detection of Wx mutant pollen in a wx pollen population after iodine staining if illumination of sample particles is improved. |
format | Text |
id | pubmed-1568644 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1981 |
record_format | MEDLINE/PubMed |
spelling | pubmed-15686442006-09-19 Flow system for automated analysis of maize pollen. Amano, E Environ Health Perspect Research Article Pollen grains are haploid gametes of uniform shape and size, and can be obtained in large quantity. If appropriate traits are used, they can be an excellent material for investigation of rare but important biological events like intracistronic recombinations or mutations induced by very low level of mutagens. This advantage will be further improved, if the laborious counting and examination can be made automatically. For automation of pollen analysis, techniques of flow analysis and image analysis would be applicable. Flow analysis with a optical detector was tested using maize pollen. Pollen grains were transported by gentle suction through a glass capillary which was placed under a microscope. Interruptions of the light path by pollen grains were detected by a silicon photocell after optical magnification and converted into electric pulses. The frequency distribution of pulse height was examined by a multichannel pulse height analyzer. 10(6) pollen grains would be counted and classified within about 30 min for a pollen suspension dilute enough for separation of each pulse. The flow system tested seems promising for detection of Wx mutant pollen in a wx pollen population after iodine staining if illumination of sample particles is improved. 1981-01 /pmc/articles/PMC1568644/ /pubmed/6161807 Text en |
spellingShingle | Research Article Amano, E Flow system for automated analysis of maize pollen. |
title | Flow system for automated analysis of maize pollen. |
title_full | Flow system for automated analysis of maize pollen. |
title_fullStr | Flow system for automated analysis of maize pollen. |
title_full_unstemmed | Flow system for automated analysis of maize pollen. |
title_short | Flow system for automated analysis of maize pollen. |
title_sort | flow system for automated analysis of maize pollen. |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1568644/ https://www.ncbi.nlm.nih.gov/pubmed/6161807 |
work_keys_str_mv | AT amanoe flowsystemforautomatedanalysisofmaizepollen |