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Outlook on optimizing ultramicroscopy imaging technique through optical characterization.
Saghafi, Saiedeh; Becker, Klaus; Hahn, Christian; Pende, Marko; Jährling, Nina; Wanis, Martina; Sabdyusheva-Litschauer, Inna; Foroughipour, Massih; Niendorf, Axel; Dodt, Hans-Ulrich.
Afiliación
  • Saghafi S; Department of Bioelectronics, FKE, Vienna University Technology, Vienna, Austria.
  • Becker K; Center for Brain Research, Medical University of Vienna, Vienna, Austria.
  • Hahn C; Department of Bioelectronics, FKE, Vienna University Technology, Vienna, Austria.
  • Pende M; Center for Brain Research, Medical University of Vienna, Vienna, Austria.
  • Jährling N; Department of Bioelectronics, FKE, Vienna University Technology, Vienna, Austria.
  • Wanis M; Center for Brain Research, Medical University of Vienna, Vienna, Austria.
  • Sabdyusheva-Litschauer I; Department of Bioelectronics, FKE, Vienna University Technology, Vienna, Austria.
  • Foroughipour M; Center for Brain Research, Medical University of Vienna, Vienna, Austria.
  • Niendorf A; Department of Bioelectronics, FKE, Vienna University Technology, Vienna, Austria.
  • Dodt HU; Center for Brain Research, Medical University of Vienna, Vienna, Austria.
Microsc Res Tech ; 81(9): 929-935, 2018 Sep.
Article en En | MEDLINE | ID: mdl-28000307
ABSTRACT
Here, we present an optically optimized system for static ultramicroscopy imaging technique. The unit for generating an ultra-thin light sheet employs aspheric and meso-optical elements (meso-aspheric system). An analytical as well as an experimental comparison between the light sheet produced by the standard system (using a rectangular slit aperture and one cylindrical lens) and the one produced by our latest optimized system, which converts a symmetrical Gaussian beam into an ultra-thin light sheet is presented. Using the new light sheet in combination with our objective equipped with a modulator unit to compensate the refractive index mismatch between air and mediums with indices of 1.45-1.56, we present high resolution images of various biological samples that were chemically cleared using different methods. They demonstrate a marked improvement in quality, contrast and resolution.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Microsc Res Tech Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2018 Tipo del documento: Article País de afiliación: Austria

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Microsc Res Tech Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2018 Tipo del documento: Article País de afiliación: Austria
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