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Title: Hyperspectral stimulated emission depletion microscopy and methods of use thereof

Abstract

A hyperspectral stimulated emission depletion ("STED") microscope system for high-resolution imaging of samples labeled with multiple fluorophores (e.g., two to ten fluorophores). The hyperspectral STED microscope includes a light source, optical systems configured for generating an excitation light beam and a depletion light beam, optical systems configured for focusing the excitation and depletion light beams on a sample, and systems for collecting and processing data generated by interaction of the excitation and depletion light beams with the sample. Hyperspectral STED data may be analyzed using multivariate curve resolution analysis techniques to deconvolute emission from the multiple fluorophores. The hyperspectral STED microscope described herein can be used for multi-color, subdiffraction imaging of samples (e.g., materials and biological materials) and for analyzing a tissue by Forster Resonance Energy Transfer ("FRET").

Inventors:
;
Issue Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1128705
Patent Number(s):
8686363
Application Number:
13/609,057
Assignee:
Sandia Corporation (Albuquerque, NM)
Patent Classifications (CPCs):
G - PHYSICS G02 - OPTICS G02B - OPTICAL ELEMENTS, SYSTEMS, OR APPARATUS
G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Patent
Resource Relation:
Patent File Date: 2012 Sep 10
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION

Citation Formats

Timlin, Jerilyn A, and Aaron, Jesse S. Hyperspectral stimulated emission depletion microscopy and methods of use thereof. United States: N. p., 2014. Web.
Timlin, Jerilyn A, & Aaron, Jesse S. Hyperspectral stimulated emission depletion microscopy and methods of use thereof. United States.
Timlin, Jerilyn A, and Aaron, Jesse S. Tue . "Hyperspectral stimulated emission depletion microscopy and methods of use thereof". United States. https://www.osti.gov/servlets/purl/1128705.
@article{osti_1128705,
title = {Hyperspectral stimulated emission depletion microscopy and methods of use thereof},
author = {Timlin, Jerilyn A and Aaron, Jesse S},
abstractNote = {A hyperspectral stimulated emission depletion ("STED") microscope system for high-resolution imaging of samples labeled with multiple fluorophores (e.g., two to ten fluorophores). The hyperspectral STED microscope includes a light source, optical systems configured for generating an excitation light beam and a depletion light beam, optical systems configured for focusing the excitation and depletion light beams on a sample, and systems for collecting and processing data generated by interaction of the excitation and depletion light beams with the sample. Hyperspectral STED data may be analyzed using multivariate curve resolution analysis techniques to deconvolute emission from the multiple fluorophores. The hyperspectral STED microscope described herein can be used for multi-color, subdiffraction imaging of samples (e.g., materials and biological materials) and for analyzing a tissue by Forster Resonance Energy Transfer ("FRET").},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2014},
month = {4}
}

Works referenced in this record:

STED microscopy with a supercontinuum laser source
journal, January 2008


Förster resonance energy transfer – A spectroscopic nanoruler: Principle and applications
journal, March 2011


Hyperspectral confocal microscope
journal, January 2006


Weighting hyperspectral image data for improved multivariate curve resolution results
journal, September 2008


In vivo hyperspectral confocal fluorescence imaging to determine pigment localization and distribution in cyanobacterial cells
journal, March 2008


Superlocalization Spectral Imaging Microscopy of a Multicolor Quantum Dot Complex
journal, January 2012


Preprocessing strategies to improve MCR analyses of hyperspectral images
journal, August 2012