Literature DB >> 10491274

Practical confocal microscopy and the evaluation of system performance.

R M Zucker1, O T Price.   

Abstract

The laser scanning confocal microscope has enormous potential in many fields of biology. Currently there is a subjective nature in the assessment of a confocal microscope's performance by primarily evaluating the system with a specific test slide provided by the user's laboratory. To achieve better performance from the equipment, it is necessary to run a series of tests to ensure that the optical machine is functioning properly. We have devised these methods on the Leica TCS-SP and TCS-4D systems. Tests measuring field illumination, lens clarity, laser power output, dichroic functioning, spectral alignment, axial resolution, laser power stability, machine performance, and system noise were derived to test the Leica laser scanning confocal microscopy system. These tests should be applicable to other manufacturers' systems as well. The relationship between photomultiplier tube (PMT) voltage, laser power, and averaging using a 10-microm-diameter test bead has shown that the noise (coefficient of variation of bead intensity, CV) in an image increases as the PMT increases. Therefore increasing the PMT setting results in increased noise. For ideal image quality, it appears that it is better to decrease the PMT setting and increase laser power, as noise generated by high PMT settings will reduce the image quality far more than the bleaching caused by higher laser power. Averaging can be used to improve the image at high PMT values, provided the sample is not bleached by repeated passes of the laser.

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Year:  1999        PMID: 10491274     DOI: 10.1006/meth.1999.0812

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  7 in total

1.  Standardization of high content imaging and informatics.

Authors:  O Joseph Trask; Paul A Johnston
Journal:  Assay Drug Dev Technol       Date:  2015-09       Impact factor: 1.738

2.  Dynamics and organization of cortical microtubules as revealed by superresolution structured illumination microscopy.

Authors:  George Komis; Martin Mistrik; Olga Samajová; Anna Doskočilová; Miroslav Ovečka; Peter Illés; Jiri Bartek; Jozef Samaj
Journal:  Plant Physiol       Date:  2014-03-31       Impact factor: 8.340

3.  A Quantitative Measure of Field Illumination.

Authors:  Claire M Brown; Andrew Reilly; Richard W Cole
Journal:  J Biomol Tech       Date:  2015-07

4.  Quality assessment in light microscopy for routine use through simple tools and robust metrics.

Authors:  Orestis Faklaris; Leslie Bancel-Vallée; Aurélien Dauphin; Baptiste Monterroso; Perrine Frère; David Geny; Tudor Manoliu; Sylvain de Rossi; Fabrice P Cordelières; Damien Schapman; Roland Nitschke; Julien Cau; Thomas Guilbert
Journal:  J Cell Biol       Date:  2022-09-29       Impact factor: 8.077

5.  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

6.  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

Review 7.  Advanced light microscopy core facilities: Balancing service, science and career.

Authors:  Elisa Ferrando-May; Hella Hartmann; Jürgen Reymann; Nariman Ansari; Nadine Utz; Hans-Ulrich Fried; Christian Kukat; Jan Peychl; Christian Liebig; Stefan Terjung; Vibor Laketa; Anje Sporbert; Stefanie Weidtkamp-Peters; Astrid Schauss; Werner Zuschratter; Sergiy Avilov
Journal:  Microsc Res Tech       Date:  2016-04-04       Impact factor: 2.769

  7 in total

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