Optical Sectioning with Structured Illumination Microscopy for Retinal Imaging: Inverse Problem Approach. Baena-Gallé, R., Mugnier, L. M, & Orieux, F. In Actes du 26e GRETSI, pages 4, Juan-les-pins, France, September, 2017.
Paper abstract bibtex Structured Illumination Microscopy (SIM) is an imaging technique for obtaining super-resolution and optical sectioning (OS) in wide-field fluorescence microscopy. The object sample is illuminated by sinusoidal fringe patterns at different orientations and phase shifts. This has the effect of introducing high frequency information of the object into the support of the transfer function by aliasing. The resulting image is processed with dedicated reconstruction softwares which allow recovering high frequencies beyond the instrument cut-off and, simultaneously, removing the light coming from the out-of-focus slices of a 3D volume (which is called optical sectioning).
@inproceedings{baena-galle_optical_2017,
address = {Juan-les-pins, France},
title = {Optical {Sectioning} with {Structured} {Illumination} {Microscopy} for {Retinal} {Imaging}: {Inverse} {Problem} {Approach}},
copyright = {All rights reserved},
url = {https://hal.archives-ouvertes.fr/hal-02500903},
abstract = {Structured Illumination Microscopy (SIM) is an imaging technique for obtaining super-resolution and optical sectioning (OS) in wide-field fluorescence microscopy. The object sample is illuminated by sinusoidal fringe patterns at different orientations and phase shifts. This has the effect of introducing high frequency information of the object into the support of the transfer function by aliasing. The resulting image is processed with dedicated reconstruction softwares which allow recovering high frequencies beyond the instrument cut-off and, simultaneously, removing the light coming from the out-of-focus slices of a 3D volume (which is called optical sectioning).},
language = {en},
booktitle = {Actes du 26e {GRETSI}},
author = {Baena-Gallé, Roberto and Mugnier, Laurent M and Orieux, François},
month = sep,
year = {2017},
keywords = {\_nationale, \_orieux\_publis, archived},
pages = {4},
}
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