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To 5D and Beyond: Quantitative Fluorescence Microscopy in the Postgenomic Era
Author(s) -
Andrews Paul D.,
Harper Ian S.,
Swedlow Jason R.
Publication year - 2002
Publication title -
traffic
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.677
H-Index - 130
eISSN - 1600-0854
pISSN - 1398-9219
DOI - 10.1034/j.1600-0854.2002.30105.x
Subject(s) - fluorescence microscope , microscopy , microscope , fluorescence , biology , computer science , scale (ratio) , fluorescence lifetime imaging microscopy , artificial intelligence , computer vision , biological system , optics , computational biology , physics , quantum mechanics
Digital fluorescence microscopy is now a standard technology for assaying molecular localisation in cells and tissues. The choice of laser scanning (LSM) and wide‐field microscopes (WFM) largely depends on the type of sample, with LSMs performing best on thick samples and WFMs performing best on thin ones. These systems are increasingly used to collect large multidimensional datasets. We propose a unified image structure that considers space, time, and fluorescence wavelength as integral parts of the image. Moreover, the application of fluorescence imaging to large‐scale screening means that large datasets are now routinely acquired. We propose that analysis of these data requires querying tools based on relational databases and describe one such system.