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Efficient two-photon excitation stimulated emission depletion nanoscope exploiting spatiotemporal information.
Coto Hernández, Iván; Castello, Marco; Tortarolo, Giorgio; Jowett, Nate; Diaspro, Alberto; Lanzanò, Luca; Vicidomini, Giuseppe.
Afiliación
  • Coto Hernández I; Massachusetts Eye and Ear and Harvard Medical School, Surgical Photonics and Engineering Laboratory, Boston, United States.
  • Castello M; Istituto Italiano di Tecnologia, Molecular Microscopy and Spectroscopy, Genoa, Italy.
  • Tortarolo G; Istituto Italiano di Tecnologia, Molecular Microscopy and Spectroscopy, Genoa, Italy.
  • Jowett N; Massachusetts Eye and Ear and Harvard Medical School, Surgical Photonics and Engineering Laboratory, Boston, United States.
  • Diaspro A; Istituto Italiano di Tecnologia, Nanoscopy and NIC@IIT, Genoa, Italy.
  • Lanzanò L; University of Genoa, Department of Physics, Genoa, Italy.
  • Vicidomini G; Istituto Italiano di Tecnologia, Nanoscopy and NIC@IIT, Genoa, Italy.
Neurophotonics ; 6(4): 045004, 2019 Oct.
Article en En | MEDLINE | ID: mdl-31720309
ABSTRACT
Stimulated emission depletion (STED) microscopy is a powerful bioimaging technique that theoretically provides molecular spatial resolution while preserving the most important assets of fluorescence microscopy. When combined with two-photon excitation (2PE) microscopy (2PE-STED), subdiffraction resolution may be achieved for thick biological samples. The most straightforward implementation of 2PE-STED microscopy entails introduction of an STED beam operating in continuous wave (CW) into a conventional Tisapphire-based 2PE microscope (2PE CW-STED). In this implementation, resolution enhancement is typically achieved using time-gated detection schemes, often resulting in drastic signal-to-noise/-background ratio (SNR/SBR) reductions. Herein, we employ a pixel-by-pixel phasor approach to discard fluorescence photons lacking super-resolution information to enhance image SNR/SBR in 2PE CW-STED microscopy. We compare this separation of photons by lifetime tuning approach against other postprocessing algorithms and combine it with image deconvolution to further optimize image quality.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Neurophotonics Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Neurophotonics Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos
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