Real-time high dynamic range laser scanning microscopy

C. Vinegoni (), C. Leon Swisher, P. Fumene Feruglio, R. J. Giedt, D. L. Rousso, S. Stapleton and R. Weissleder
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C. Vinegoni: Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Richard B. Simches Research Center
C. Leon Swisher: Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Richard B. Simches Research Center
P. Fumene Feruglio: Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Richard B. Simches Research Center
R. J. Giedt: Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Richard B. Simches Research Center
D. L. Rousso: Center for Brain Science, Harvard University
S. Stapleton: Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Richard B. Simches Research Center
R. Weissleder: Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Richard B. Simches Research Center

Nature Communications, 2016, vol. 7, issue 1, 1-13

Abstract: 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.

Date: 2016
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DOI: 10.1038/ncomms11077

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