Literature DB >> 18638190

Quantitative image correction and calibration for confocal fluorescence microscopy using thin reference layers and SIPchart-based calibration procedures.

J M Zwier1, L Oomen, L Brocks, K Jalink, G J Brakenhoff.   

Abstract

The fluorescence intensity image of an axially integrated through-focus series of a thin standardized uniform fluorescent layer can be used for image intensity correction and calibration in sectioning microscopy. This intensity image is in fact available from the earlier introduced Sectioned Imaging Property (SIP) charts (Brakenhoff et al., 2005). It is shown that the integrated intensity of a z-stack from a biological sample, imaged under identical conditions as the layer, can be calibrated in terms of fluorescence layer units of the calibration layer. The imaging after such calibration becomes, as a first approximation, independent of the microscope system and imaging conditions. This is demonstrated on axially integrated images of standard fluorescent beads and standard BPAE Fluorocells. Corrections on the microscope imaging conditions include shading effects, imaging with different magnifications and objectives, and using different microscope systems. It is also shown that with the present approach the actual underlying three-dimensional (3D) fluorescence data set itself can be corrected for variations in point spread function (PSF) imaging efficiency over the imaging data cube. Realizing such calibration between imaging conditions or systems requires basically only the 2D fluorescer molecule density of the reference layers and the section distances with which the layer data are collected.

Mesh:

Year:  2008        PMID: 18638190     DOI: 10.1111/j.1365-2818.2008.02017.x

Source DB:  PubMed          Journal:  J Microsc        ISSN: 0022-2720            Impact factor:   1.758


  4 in total

1.  A metric and workflow for quality control in the analysis of heterogeneity in phenotypic profiles and screens.

Authors:  Albert Gough; Tong Ying Shun; D Lansing Taylor; Mark Schurdak
Journal:  Methods       Date:  2015-11-04       Impact factor: 3.608

2.  ConfocalCheck--a software tool for the automated monitoring of confocal microscope performance.

Authors:  Keng Imm Hng; Dirk Dormann
Journal:  PLoS One       Date:  2013-11-05       Impact factor: 3.240

3.  Using the NoiSee workflow to measure signal-to-noise ratios of confocal microscopes.

Authors:  Alexia Ferrand; Kai D Schleicher; Nikolaus Ehrenfeuchter; Wolf Heusermann; Oliver Biehlmaier
Journal:  Sci Rep       Date:  2019-02-04       Impact factor: 4.379

4.  eSIP: A Novel Solution-Based Sectioned Image Property Approach for Microscope Calibration.

Authors:  Malte Butzlaff; Arwed Weigel; Evgeni Ponimaskin; Andre Zeug
Journal:  PLoS One       Date:  2015-08-05       Impact factor: 3.240

  4 in total

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