2014
DOI: 10.1002/0471142956.cy1014s68
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Intensity Calibration and Flat‐Field Correction for Fluorescence Microscopes

Abstract: Standardization in fluorescence microscopy involves calibration of intensity in reproducible units and correction for spatial nonuniformity of illumination (flat‐field or shading correction). Both goals can be achieved using concentrated solutions of fluorescent dyes. When a drop of a highly concentrated fluorescent dye is placed between a slide and a coverslip it produces a spatially uniform field, resistant to photobleaching and with reproducible quantum yield; it can be used as a brightness standard for wid… Show more

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Cited by 28 publications
(17 citation statements)
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“…Raw images were corrected for variations in both shading and intensity . Corrected images were then imported into MATLAB and analyzed using a custom code.…”
Section: Methodsmentioning
confidence: 99%
“…Raw images were corrected for variations in both shading and intensity . Corrected images were then imported into MATLAB and analyzed using a custom code.…”
Section: Methodsmentioning
confidence: 99%
“…For immunostaining assays, there is a concern that an out of focus image would result in a lower fluorescence yield. However, as long as all fluorescence light is collected, the measured fluorescence values will not change significantly even when the image is taken somewhat out of focus (Model, ). Using our imaging system this is indeed the case as the fluorescence is summed within a nuclear boundary determined by the nuclear image (taken at the same focal plane).…”
Section: Discussionmentioning
confidence: 99%
“…Concentrated dye solution approximates the flat-field S using images of a thin layer of concentrated dye4. The calibration of the dark-field D(x) is same as in the above two prospective approaches.…”
Section: Methodsmentioning
confidence: 99%
“…Existing shading correction methods can be generally divided into two groups: ‘prospective' approaches that determine S ( x ) and D ( x ) from extra reference images4 (Supplementary Note 1) and ‘retrospective' approaches, which rely on the actual image data itself and hence avoid collection of extra reference images (Supplementary Note 2). A number of multi-image based approaches have been recently published, for example, Smith et al 5.…”
mentioning
confidence: 99%