Literature DB >> 21118211

Minimizing light exposure with the programmable array microscope.

W Caarls1, B Rieger, A H B De Vries, D J Arndt-Jovin, T M Jovin.   

Abstract

The exposure of fluorophores to intense illumination in a microscope often results in photobleaching and phototoxicity, thus constituting a major limiting factor in time lapse live cell or single molecule imaging. Laser scanning confocal microscopes are particularly prone to this problem, inasmuch as they require high irradiances to compensate for the inherently low duty cycle of point scanning systems. In the attempt to maintain adequate speed and signal-to-noise ratios, the fluorophores are often driven into saturation, thereby generating a nonlinear response. One approach for reducing photodegradation in the laser scanning confocal microscope is represented by controlled light exposure microscopy, introduced by Manders and colleagues. The strategy is to reduce the illumination intensity in both background areas (devoid of information) as well as in bright foreground regions, for which an adequate signal-to-noise ratio can be achieved with lower excitation levels than those required for the less intense foreground pixels/voxels. Such a variable illumination scheme can also be exploited in widefield microscopes that employ lower irradiance but higher illumination duty cycles. We report here on the adaptation of the controlled light exposure microscopy principle to the programmable array microscope, which achieves optical sectioning by use of a spatial light modulator (SLM) in an image plane as a programmable mask for illumination and conjugate (and nonconjugate) detection. By incorporating the basic controlled light exposure microscopy concept for minimizing exposure, we have obtained a reduction in the rate of photobleaching of up to ~5-fold, while maintaining an image quality comparable to regular imaging with the programmable array microscope.
© 2010 The Authors Journal of Microscopy © 2010 The Royal Microscopical Society.

Mesh:

Year:  2011        PMID: 21118211     DOI: 10.1111/j.1365-2818.2010.03413.x

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


  6 in total

1.  Adaptive illumination reduces photobleaching in structured illumination microscopy.

Authors:  Nadya Chakrova; Alicia Soler Canton; Christophe Danelon; Sjoerd Stallinga; Bernd Rieger
Journal:  Biomed Opt Express       Date:  2016-09-23       Impact factor: 3.732

2.  Predictive-focus illumination for reducing photodamage in live-cell microscopy.

Authors:  Z Schilling; E Frank; V Magidson; J Wason; J Lončarek; K Boyer; J Wen; A Khodjakov
Journal:  J Microsc       Date:  2012-03-20       Impact factor: 1.758

Review 3.  Development of new photon-counting detectors for single-molecule fluorescence microscopy.

Authors:  X Michalet; R A Colyer; G Scalia; A Ingargiola; R Lin; J E Millaud; S Weiss; Oswald H W Siegmund; Anton S Tremsin; John V Vallerga; A Cheng; M Levi; D Aharoni; K Arisaka; F Villa; F Guerrieri; F Panzeri; I Rech; A Gulinatti; F Zappa; M Ghioni; S Cova
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-12-24       Impact factor: 6.237

4.  Fluorescence microscopy datasets for training deep neural networks.

Authors:  Guy M Hagen; Justin Bendesky; Rosa Machado; Tram-Anh Nguyen; Tanmay Kumar; Jonathan Ventura
Journal:  Gigascience       Date:  2021-05-05       Impact factor: 6.524

5.  Video-rate volumetric neuronal imaging using 3D targeted illumination.

Authors:  Sheng Xiao; Hua-An Tseng; Howard Gritton; Xue Han; Jerome Mertz
Journal:  Sci Rep       Date:  2018-05-21       Impact factor: 4.379

6.  Neuronal imaging with ultrahigh dynamic range multiphoton microscopy.

Authors:  Ruohui Yang; Timothy D Weber; Ellen D Witkowski; Ian G Davison; Jerome Mertz
Journal:  Sci Rep       Date:  2017-07-19       Impact factor: 4.379

  6 in total

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