Surgical methods used for the intravital imaging were described previously by Pradhan-Sundd et al. (2018) (link). Intravascular fluorescent dyes included 100 μg of Carboxyflurescein (CF) and 200 μg of TXR dextran. TXR dextran (MW 70,000) was used to visualize the blood flow through the liver sinusoids whereas CF (MW 377) was used to visualize uptake of the dye from blood to hepatocytes at 1–2 m post-injection and then from the hepatocyte to the bile-canaliculi within 5 m. Microscopy was performed using a Nikon MPE multi-photon excitation microscope. Movies were processed using Nikon’s NIS Elements (Nikon Elements 3.10). Signal contrast in each channel of a multicolor image was further enhanced by adjusting the maxima and minima of the intensity histogram of that channel. A median filter with a kernel size of 3 was applied over each video frame to improve signal-to-noise ratio.
Nis elements elements 3.10
Manufactured by Nikon
NIS Elements (Nikon Elements 3.10) is a software platform designed for image acquisition, processing, and analysis. It provides a suite of tools for controlling Nikon microscopes and cameras, as well as for performing advanced image analysis tasks.
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Lab products found in correlation
2 protocols using nis elements elements 3.10
1
Intravital Imaging of Liver Dynamics
2
Intravital Imaging of Liver Dynamics
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Surgical methods used for the intravital imaging were described previously by Pradhan-Sundd et al. (2018) (link). Intravascular fluorescent dyes included 100 μg of Carboxyflurescein (CF) and 200 μg of TXR dextran. TXR dextran (MW 70,000) was used to visualize the blood flow through the liver sinusoids whereas CF (MW 377) was used to visualize uptake of the dye from blood to hepatocytes at 1–2 m post-injection and then from the hepatocyte to the bile-canaliculi within 5 m. Microscopy was performed using a Nikon MPE multi-photon excitation microscope. Movies were processed using Nikon’s NIS Elements (Nikon Elements 3.10). Signal contrast in each channel of a multicolor image was further enhanced by adjusting the maxima and minima of the intensity histogram of that channel. A median filter with a kernel size of 3 was applied over each video frame to improve signal-to-noise ratio.
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