We correlate accumulated dispersions measured in coherent receivers to autonomously identify fiber types in a 41-link network without traffic interruption.

Jan 29, 2019 · We propose, in this paper, a method to identify all unknown fiber types (and estimate chromatic dispersion) in an optical network to reduce said ...

Introduction. To reach the ultimate grail where the optical network operates close to its maximum capabilities, operators need to decrease their.

May 27, 2019 · We developed a new macro script for Fiji-ImageJ to automatically assess human fiber morphometry in digital images of the entire muscle.

We correlate accumulated chromatic dispersion measured in a live coherent receivers to autonomously identify fiber types in a 11-link network without ...

Here, we review methods for characterizing skeletal muscle fibers and describe new automated techniques, which rapidly quantify CSA and biomarkers.

Jul 5, 2019 · Thanks to this application, we can identify the fiber type of all the 41-unknown links for a 28-nodes network built with 5 different fiber types ...

Jun 3, 2021 · The current approach for determining fiber type is a slow, manual fiber optic characterization (FOC) test that involves sending two technicians to each fiber ...

The visualization results demonstrated that MyoV can indeed accurately identify and segment individual muscle fiber cells (Figure 4B). We randomly selected 100 ...

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