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Real-time high dynamic range laser scanning microscopy.

ABSTRACT: 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.

SUBMITTER: Vinegoni C

PROVIDER: S-EPMC4821995 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature

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Real-time high dynamic range laser scanning microscopy.

Vinegoni C C Leon Swisher C C Fumene Feruglio P P Giedt R J RJ Rousso D L DL Stapleton S S Weissleder R R

Nature communications 20160401

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 r ...[more]

PMID: 27032979

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