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Evaluation of spectral imaging for plant cell analysis
Author(s) -
Berg R. H.
Publication year - 2004
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1111/j.0022-2720.2004.01347.x
Subject(s) - autofluorescence , spectral imaging , confocal , fluorescence , spectral resolution , microscope , spectral analysis , optics , plant cell , fluorescence lifetime imaging microscopy , laser scanning , resolution (logic) , microscopy , materials science , laser , remote sensing , chemistry , computer science , physics , artificial intelligence , spectroscopy , geology , spectral line , biochemistry , quantum mechanics , astronomy , gene
Summary Fluorescence imaging at high spectral resolution is now a practical reality and has great promise in plant cell biology. Emission spectral curve data can be used computationally to distinguish spectrally similar fluorophores, or to remove autofluorescence, and to spectrally analyse autofluorescent molecules, which are especially abundant in plant tissues. Examples of these applications in plant cells are given, and a comparison is made between the current offerings in spectral imaging laser scanning confocal microscopes.