Claudio Vinegoni, Ph.D. | Real-time high dynamic range laser scanning microscopy

Nat. Commun.
Real-time high dynamic range laser scanning microscopy

Vinegoni^#†, C., Swisher^†, C. L., Fumene Feruglio^†, P., Giedt, R. J., Rousso, D. L., Stapleton, S., and Weissleder, R.

Nature Communications 2016

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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.
@article{2016-NCOMM-2, author= {Vinegoni#†, C. and Swisher†, C. L. and Fumene Feruglio†, P. and Giedt, R. J. and Rousso, D. L. and Stapleton, S. and Weissleder, R.}, title= {Real-time high dynamic range laser scanning microscopy}, journal= {Nature Communications}, alternatejournal = {Nat. Commun.}, year = {2016}, volume = {7}, pages = {13}, issn = {2041-1723}, doi = {10.1038/ncomms11077}, pmcid = {PMC4821995}, pmid= {27032979} }
27032979

PMC4821995

10.1038/ncomms11077

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."

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For attribution in academic contexts, please cite this work as:

Vinegoni^#†, C., Swisher^†, C. L., Fumene Feruglio^†, P., Giedt, R. J., Rousso, D. L., Stapleton, S., & Weissleder, R. (2016). Real-time high dynamic range laser scanning microscopy. Nature Communications, 7, 13. https://doi.org/10.1038/ncomms11077