Abstract: Systems, devices, and method for asynchronous training for classification of cellular subsets for flow cytometry. A training file is identified for training a classifier. A gate associated with the training file is received for training the classifier and a model for training the classifier is received. The classifier training begins and, concurrent with training of the classifier; flow cytometry files are classified and an accuracy of the classifier is monitored. A determination is made whether the gate should be adjusted based on the accuracy and a determination is made whether training of the classifier is complete.

Abstract: A method for detection of a disturbance in a waveguide comprising transmitting a wavefield having symmetric and antisymmetric components from a horizontally and/or vertically polarized source and/or pressure source disposed symmetrically with respect to the longitudinal central axis of the waveguide at one end of the waveguide, recording the horizontal and/or vertical component or a pressure of the wavefield with a vertical array of receivers disposed at the opposite end of the waveguide, separating the wavenumber transform of the wavefield into the symmetric and antisymmetric components, integrating the symmetric and antisymmetric components over a broad frequency range, and comparing the magnitude of the symmetric components and the antisymmetric components to an expected magnitude for the symmetric components and the antisymmetric components for a waveguide of uniform thickness and properties thereby determining whether or not a disturbance is present inside the waveguide.