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Real-time high dynamic range laser scanning microscopy
by
David Rousso
, Shawn Stapleton
, Ralph Weissleder
, Claudio Vinegoni
, Randy J. Giedt
, C. Leon Swisher
, P. Fumene Feruglio
in
14/63
/ 14/69
/ 639/624/1107/328
/ Algorithms
/ Animals
/ Brain
/ Brain - pathology
/ Confocal microscopy
/ Dynamic range
/ Fluorescence
/ Fluorescence microscopy
/ Humanities and Social Sciences
/ Image acquisition
/ Image processing
/ Image reconstruction
/ Image segmentation
/ imaging dynamic range; optical microscopy; signal-to-noise ratio; real-time; sequential high dynamic range microscopy; in vivo; functional imaging
/ In vivo methods and tests
/ Light microscopy
/ Mice
/ Microscopes
/ Microscopy
/ Microscopy, Confocal
/ Microscopy, Confocal - methods
/ Microscopy, Fluorescence, Multiphoton
/ multidisciplinary
/ Optical microscopy
/ Optimization
/ Q
/ Real time
/ Scanning microscopy
/ Science
/ Science (multidisciplinary)
/ Signal-To-Noise Ratio
2016
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Real-time high dynamic range laser scanning microscopy
by
David Rousso
, Shawn Stapleton
, Ralph Weissleder
, Claudio Vinegoni
, Randy J. Giedt
, C. Leon Swisher
, P. Fumene Feruglio
in
14/63
/ 14/69
/ 639/624/1107/328
/ Algorithms
/ Animals
/ Brain
/ Brain - pathology
/ Confocal microscopy
/ Dynamic range
/ Fluorescence
/ Fluorescence microscopy
/ Humanities and Social Sciences
/ Image acquisition
/ Image processing
/ Image reconstruction
/ Image segmentation
/ imaging dynamic range; optical microscopy; signal-to-noise ratio; real-time; sequential high dynamic range microscopy; in vivo; functional imaging
/ In vivo methods and tests
/ Light microscopy
/ Mice
/ Microscopes
/ Microscopy
/ Microscopy, Confocal
/ Microscopy, Confocal - methods
/ Microscopy, Fluorescence, Multiphoton
/ multidisciplinary
/ Optical microscopy
/ Optimization
/ Q
/ Real time
/ Scanning microscopy
/ Science
/ Science (multidisciplinary)
/ Signal-To-Noise Ratio
2016
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Real-time high dynamic range laser scanning microscopy
by
David Rousso
, Shawn Stapleton
, Ralph Weissleder
, Claudio Vinegoni
, Randy J. Giedt
, C. Leon Swisher
, P. Fumene Feruglio
in
14/63
/ 14/69
/ 639/624/1107/328
/ Algorithms
/ Animals
/ Brain
/ Brain - pathology
/ Confocal microscopy
/ Dynamic range
/ Fluorescence
/ Fluorescence microscopy
/ Humanities and Social Sciences
/ Image acquisition
/ Image processing
/ Image reconstruction
/ Image segmentation
/ imaging dynamic range; optical microscopy; signal-to-noise ratio; real-time; sequential high dynamic range microscopy; in vivo; functional imaging
/ In vivo methods and tests
/ Light microscopy
/ Mice
/ Microscopes
/ Microscopy
/ Microscopy, Confocal
/ Microscopy, Confocal - methods
/ Microscopy, Fluorescence, Multiphoton
/ multidisciplinary
/ Optical microscopy
/ Optimization
/ Q
/ Real time
/ Scanning microscopy
/ Science
/ Science (multidisciplinary)
/ Signal-To-Noise Ratio
2016
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Journal Article
Real-time high dynamic range laser scanning microscopy
2016
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Overview
In conventional confocal/multiphoton fluorescence microscopy, images are typically acquired under ideal settings and after extensive optimization of parameters for a given structure or feature, often resulting in information loss from other image attributes. To overcome the problem of selective data display, we developed a new method that extends the imaging dynamic range in optical microscopy and improves the signal-to-noise ratio. Here we demonstrate how real-time and sequential high dynamic range microscopy facilitates automated three-dimensional neural segmentation. We address reconstruction and segmentation performance on samples with different size, anatomy and complexity. Finally,
in vivo
real-time high dynamic range imaging is also demonstrated, making the technique particularly relevant for longitudinal imaging in the presence of physiological motion and/or for quantification of
in vivo
fast tracer kinetics during functional imaging.
Confocal and multiphoton fluorescence microscopy often suffers from low dynamic range. Here the authors develop a high dynamic range, laser scanning fluorescence technique by simultaneously recording different light intensity ranges. The method can be adapted to commercial systems.
Publisher
Springer Science and Business Media LLC,Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
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