Open AccessOn the possibility of automated scoring of pollen mutants.
Author(s) -
Daniel Pinkel
Publication year - 1981
Publication title -
environmental health perspectives
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.257
H-Index - 282
eISSN - 1552-9924
pISSN - 0091-6765
DOI - 10.1289/ehp.8137133
Subject(s) - pollen , computer science , flow cytometry , instrumentation (computer programming) , event (particle physics) , computational biology , artificial intelligence , biology , botany , immunology , physics , quantum mechanics , operating system
Both flow cytometry and automated image analysis techniques may be useful in relieving the drudgery, increasing the speed, and adding quantitation to the scoring of pollen mutants, but practical problems related to the detection of very rare events have to be overcome. The features of flow and image cytometry instrumentation that may be useful for pollen measurements are discussed and a qualitative framework is presented from which to view the rare event problem.