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Photon counting imaging and centroiding with an electron-bombarded CCD using single molecule localisation software.

Liisa M Hirvonen1, Matthew J Barber1, Klaus Suhling1

  • 1Department of Physics, Kings College London, Strand, London WC2R 2LS, UK.

Nuclear Instruments & Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
|June 9, 2016
PubMed
Summary

Iterative fitting algorithms improve photon event centroiding for electron-bombarded CCDs. This method accurately fits overlapping photon events, enabling faster imaging and higher data acquisition rates in photon counting applications.

Keywords:
Electron-bombarded CCDSingle photon countingSingle-molecule localisation

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Area of Science:

  • Photon counting imaging
  • Super-resolution fluorescence microscopy
  • Electron-bombarded CCD (EBCCD) imaging

Background:

  • Photon event centroiding is crucial for imaging and microscopy.
  • Traditional centroiding uses simple single-iteration algorithms.
  • Iterative fitting algorithms show promise for improved centroiding accuracy.

Purpose of the Study:

  • To apply iterative fitting algorithms for photon event centroiding on an electron-bombarded CCD (EBCCD).
  • To evaluate the performance of these algorithms in EBCCD imaging.
  • To explore the capability of fitting overlapping photon events.

Main Methods:

  • Application of iterative fitting algorithms, previously developed for single-molecule localization microscopy.
  • Centroiding photon events acquired with an electron-bombarded CCD camera.
  • Analysis of algorithm performance in handling photon event data.

Main Results:

  • Iterative fitting algorithms yield excellent results for EBCCD photon event centroiding.
  • The algorithms successfully fit overlapping photon events, a novel capability.
  • This approach facilitates increased count rates and shorter acquisition times.

Conclusions:

  • Iterative fitting algorithms are highly effective for photon event centroiding with EBCCDs.
  • The ability to fit overlapping events is a significant advancement for high-speed imaging.
  • This technique enhances data acquisition efficiency in photon counting applications.