Literature DB >> 7988291

Comparison of phase-contrast and fluorescence digital autofocus for scanning microscopy.

J H Price1, D A Gough.   

Abstract

Reliable autofocus is required to obtain accurate measurements of fluorescent stained cellular components from a system capable of scanning multiple microscope fields. Autofocus could be performed directly with fluorescence images, but due to photobleaching and destructive fluorescence by-products, it is best to minimize fluorescence exposure for photosensitive specimens and live cells. This exposure problem could be completely avoided by using phase-contrast microscopy, implemented through the same optics as fluorescence microscopy. The purpose of this work was to evaluate functions for both phase-contrast and fluorescence autofocus and determine the suitability of phase-contrast autofocus for fluorescence microscopy. Eleven autofocus functions were independently evaluated for fluorescence and phase-contrast microscopy. The most suitable functions were then chosen from these and phase-contrast and fluorescence autofocus were compared on scans each comprising more than 1,000 microscope fields. Autofocus standard deviation (S.D.) of better than 100 nm was achieved for both phase contrast and fluorescence. There was a measurable difference between the best focus positions in the two modes, but the difference was constant enough to be measured and corrected, suggesting the possibility of using phase contrast to predict best focus in fluorescence microscopy. The scanning experiments also showed that autofocus can be performed at least as fast as 0.25 s/field without loss of precision.

Mesh:

Year:  1994        PMID: 7988291     DOI: 10.1002/cyto.990160402

Source DB:  PubMed          Journal:  Cytometry        ISSN: 0196-4763


  7 in total

Review 1.  Automated quantitative live cell fluorescence microscopy.

Authors:  Michael Fero; Kit Pogliano
Journal:  Cold Spring Harb Perspect Biol       Date:  2010-06-30       Impact factor: 10.005

2.  Automated microscope system for determining factors that predict neuronal fate.

Authors:  Montserrat Arrasate; Steven Finkbeiner
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-28       Impact factor: 11.205

3.  All-optical microscope autofocus based on an electrically tunable lens and a totally internally reflected IR laser.

Authors:  M Bathe-Peters; P Annibale; M J Lohse
Journal:  Opt Express       Date:  2018-02-05       Impact factor: 3.894

4.  Quantitative automated image analysis system with automated debris filtering for the detection of breast carcinoma cells.

Authors:  David T Martin; Sergio Sandoval; Casey N Ta; Manuel E Ruidiaz; Maria Jose Cortes-Mateos; Davorka Messmer; Andrew C Kummel; Sarah L Blair; Jessica Wang-Rodriguez
Journal:  Acta Cytol       Date:  2011-04-27       Impact factor: 2.319

5.  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

6.  Exploration of chromatic aberration for multiplanar imaging: proof of concept with implications for fast, efficient autofocus.

Authors:  Martin Weinigel; Albert L Kellner; Jeffrey H Price
Journal:  Cytometry A       Date:  2009-12       Impact factor: 4.355

7.  Automated Remote Focusing, Drift Correction, and Photostimulation to Evaluate Structural Plasticity in Dendritic Spines.

Authors:  Michael S Smirnov; Paul R Evans; Tavita R Garrett; Long Yan; Ryohei Yasuda
Journal:  PLoS One       Date:  2017-01-23       Impact factor: 3.240

  7 in total

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