ArticleScientific reports2016
Separation of ballistic and diffusive fluorescence photons in confocal Light-Sheet Microscopy of Arabidopsis roots.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Towards non-blind optical tweezing by finding 3D refractive index changes through off-focus interferometric tracking.Nature communications · 2021Article
- Light-sheet microscopy with length-adaptive Bessel beams.Biomedical optics express · 2019Article
- Miniature scanning light-sheet illumination implemented in a conventional microscope.Biomedical optics express · 2018Article
- A new Monte Carlo code for light transport in biological tissue.Medical & biological engineering & computing · 2018Article
- Advances in Imaging Plant Cell Dynamics.Plant physiology · 2018Review
- Improved contrast in inverted selective plane illumination microscopy of thick tissues using confocal detection and structured illumination.Biomedical optics express · 2017Article
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Authors and funding
4 authors.
Funding
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Abstract
Image quality in light-sheet fluorescence microscopy is strongly affected by the shape of the illuminating laser beam inside embryos, plants or tissue. While the phase of Gaussian or Bessel beams propagating through thousands of cells can be partly controlled holographically, the propagation of fluorescence light to the detector is difficult to control. With each scatter process a fluorescence photon loses information necessary for the image generation. Using Arabidopsis root tips we demonstrate that ballistic and diffusive fluorescence photons can be separated by analyzing the image spectra in each plane without a priori knowledge. We introduce a theoretical model allowing to extract typical scattering parameters of the biological material. This allows to attenuate image contributions from diffusive photons and to amplify the relevant image contributions from ballistic photons through a depth dependent deconvolution. In consequence, image contrast and resolution are significantly increased and scattering artefacts are minimized especially for Bessel beams with confocal line detection.
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