Literature DB >> 21118205

Photon event distribution sampling: an image formation technique for scanning microscopes that permits tracking of sub-diffraction particles with high spatial and temporal resolutions.

J D Larkin1, N G Publicover, J L Sutko.   

Abstract

In photon event distribution sampling, an image formation technique for scanning microscopes, the maximum likelihood position of origin of each detected photon is acquired as a data set rather than binning photons in pixels. Subsequently, an intensity-related probability density function describing the uncertainty associated with the photon position measurement is applied to each position and individual photon intensity distributions are summed to form an image. Compared to pixel-based images, photon event distribution sampling images exhibit increased signal-to-noise and comparable spatial resolution. Photon event distribution sampling is superior to pixel-based image formation in recognizing the presence of structured (non-random) photon distributions at low photon counts and permits use of non-raster scanning patterns. A photon event distribution sampling based method for localizing single particles derived from a multi-variate normal distribution is more precise than statistical (Gaussian) fitting to pixel-based images. Using the multi-variate normal distribution method, non-raster scanning and a typical confocal microscope, localizations with 8 nm precision were achieved at 10 ms sampling rates with acquisition of ~200 photons per frame. Single nanometre precision was obtained with a greater number of photons per frame. In summary, photon event distribution sampling provides an efficient way to form images when low numbers of photons are involved and permits particle tracking with confocal point-scanning microscopes with nanometre precision deep within specimens.
© 2010 The Authors Journal of Microscopy © 2010 The Royal Microscopical Society.

Year:  2011        PMID: 21118205     DOI: 10.1111/j.1365-2818.2010.03406.x

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


  4 in total

1.  Dynamic reconfiguration of long human genes during one transcription cycle.

Authors:  Joshua D Larkin; Peter R Cook; Argyris Papantonis
Journal:  Mol Cell Biol       Date:  2012-05-14       Impact factor: 4.272

2.  Maximum precision closed-form solution for localizing diffraction-limited spots in noisy images.

Authors:  Joshua D Larkin; Peter R Cook
Journal:  Opt Express       Date:  2012-07-30       Impact factor: 3.894

3.  Active RNA polymerases: mobile or immobile molecular machines?

Authors:  Argyris Papantonis; Joshua D Larkin; Youichiro Wada; Yoshihiro Ohta; Sigeo Ihara; Tatsuhiko Kodama; Peter R Cook
Journal:  PLoS Biol       Date:  2010-07-13       Impact factor: 8.029

4.  Ultrahigh accuracy imaging modality for super-localization microscopy.

Authors:  Jerry Chao; Sripad Ram; E Sally Ward; Raimund J Ober
Journal:  Nat Methods       Date:  2013-03-03       Impact factor: 28.547

  4 in total

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