Your browser doesn't support javascript.
loading
Imaging neural events in zebrafish larvae with linear structured illumination light sheet fluorescence microscopy.
Liu, Yang; Dale, Savannah; Ball, Rebecca; VanLeuven, Ariel J; Sornborger, Andrew; Lauderdale, James D; Kner, Peter.
Afiliação
  • Liu Y; University of Georgia, College of Engineering, Athens, Georgia, United States.
  • Dale S; Clemson University, Department of Bioengineering, Clemson, South Carolina, United States.
  • Ball R; University of Georgia, Department of Cellular Biology, Athens, Georgia, United States.
  • VanLeuven AJ; University of Georgia, Department of Cellular Biology, Athens, Georgia, United States.
  • Sornborger A; Los Alamos National Laboratory, Information Sciences, CCS-3, Los Alamos, New Mexico, United States.
  • Lauderdale JD; University of Georgia, Department of Cellular Biology, Athens, Georgia, United States.
  • Kner P; University of Georgia, Neuroscience Division of the Biomedical Health Sciences Institute, Athens, Georgia, United States.
Neurophotonics ; 6(1): 015009, 2019 Jan.
Article em En | MEDLINE | ID: mdl-30854407
ABSTRACT
Light sheet fluorescence microscopy (LSFM) is a powerful tool for investigating model organisms including zebrafish. However, due to scattering and refractive index variations within the sample, the resulting image often suffers from low contrast. Structured illumination (SI) has been combined with scanned LSFM to remove out-of-focus and scattered light using square-law detection. Here, we demonstrate that the combination of LSFM with linear reconstruction SI can further increase resolution and contrast in the vertical and axial directions compared to the widely adopted root-mean square reconstruction method while using the same input images. We apply this approach to imaging neural activity in 7-day postfertilization zebrafish larvae. We imaged two-dimensional sections of the zebrafish central nervous system in two colors at an effective frame rate of 7 frames per second.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article