Vinegoni, C.Leon Swisher, C.Fumene Feruglio, P.Giedt, R. J.Rousso, D. L.Stapleton, S.Weissleder, R.2016-05-022016Vinegoni, C., C. Leon Swisher, P. Fumene Feruglio, R. J. Giedt, D. L. Rousso, S. Stapleton, and R. Weissleder. 2016. “Real-time high dynamic range laser scanning microscopy.” Nature Communications 7 (1): 11077. doi:10.1038/ncomms11077. http://dx.doi.org/10.1038/ncomms11077.2041-1723http://nrs.harvard.edu/urn-3:HUL.InstRepos:26860112In 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.en-USReal-time high dynamic range laser scanning microscopyJournal Article2016-05-0210.1038/ncomms11077