Abstract: Systems and methods for predicting viability of one or more embryos is described herein. In some variations, a method may include receiving a single image of the embryo via a real-time communication link with an image capturing device and generating a viability score for the embryo by classifying the single image via at least one convolutional neural network. In some variations, a method may include receiving a plurality of single images, where each single image depicts a different respective embryo of a plurality of embryos, generating a viability score for each embryo by classifying each single image via at least one convolutional neural network, and ranking the plurality of embryos based on the viability scores for the plurality of embryos.

Abstract: Systems and methods for implementing machine-learning models for ovarian stimulation is described herein. In some variations, a computer-implemented method may include optimizing an ovarian stimulation process may include receiving patient-specific data associated with a patient, and predicting an egg outcome for the patient for each of a plurality of treatment options for an ovarian stimulation process based on at least one predictive model and the patient-specific data, where the at least one predictive model is trained using prior patient-specific data associated with a plurality of prior patients.

Abstract: Systems and methods for implementing machine-learning models for ovarian stimulation is described herein. In some variations, a computer-implemented method may include optimizing an ovarian stimulation process may include receiving patient-specific data associated with a patient, and predicting an egg outcome for the patient for each of a plurality of treatment options for an ovarian stimulation process based on at least one predictive model and the patient-specific data, where the at least one predictive model is trained using prior patient-specific data associated with a plurality of prior patients.

Abstract: Systems and methods for implementing machine-learning models for ovarian stimulation is described herein. In some variations, a computer-implemented method may include optimizing an ovarian stimulation process may include receiving patient-specific data associated with a patient, and predicting an egg outcome for the patient for each of a plurality of treatment options for an ovarian stimulation process based on at least one predictive model and the patient-specific data, where the at least one predictive model is trained using prior patient-specific data associated with a plurality of prior patients.

Abstract: A dog bark detection and deterrent method and system including a collar configured to be affixed to a pet, the collar having an audio transmitter configured to provide an audio stimulus; and a power source provided within collar operable to provide power to the audio transmitter, and an audio sensor. The collar is configured to determine when a dog is barking and provide stimulus to deter the dog from continuing to bark.

Abstract: A method and system for characterizing a cell population including a set of cell subpopulations, the method comprising: at a processing system, receiving image data corresponding to a set of images of the cell population captured at a set of time points; at the processing system, generating an analysis based upon processing the set of images according to: a cell stage classification module configured to automatically identify a cell class of each of the set of cell subpopulations, and a cell graph representation module configured to characterize geometric and spatial features of the set of cell subpopulations; from the analysis, determining a set of parameters characterizing the cell population; and generating an indication of quality of the cell population based upon a comparison between at least one parameter of the set of parameters and a set of reference values.

Abstract: A method and system for characterizing cell motion comprising: receiving image data corresponding to a set of images of a cell culture captured at a set of time points; segmenting, from at least one image of the set of images, a cell subpopulation from the cell culture; determining a resting signal for the cell subpopulation; determining a single-peak motion signal based upon the set of images, the set of time points, and the resting signal; detrending the single-peak motion signal of the cell subpopulation based upon the resting signal; determining values of a set of motion features of the cell subpopulation, thereby characterizing cell motion; and clustering the cell subpopulation with at least one other cell subpopulation based upon at least one of the single-peak motion signal and a value of the set of motion features.

Abstract: Apparatuses, methods, and systems for the automated imaging and evaluation of human embryos, oocytes, or pluripotent cells are described. An apparatus and method for automated dish detection and well occupancy determination are described. In addition, a multi-well culture dish and an illumination assembly for bimodal imaging are described. These inventions find use at least in identifying or in facilitating identification of embryos and oocytes in vitro that are most useful in treating infertility in humans.

Abstract: A method and system for characterizing cell motion comprising: receiving image data corresponding to a set of images of a cell culture captured at a set of time points; segmenting, from at least one image of the set of images, a cell subpopulation from the cell culture; determining a resting signal for the cell subpopulation; determining a single-peak motion signal based upon the set of images, the set of time points, and the resting signal; detrending the single-peak motion signal of the cell subpopulation based upon the resting signal; determining values of a set of motion features of the cell subpopulation, thereby characterizing cell motion; and clustering the cell subpopulation with at least one other cell subpopulation based upon at least one of the single-peak motion signal and a value of the set of motion features.

Abstract: Apparatuses, methods, and systems for the automated imaging and evaluation of human embryos, oocytes, or pluripotent cells are described. An apparatus and method for automated dish detection and well occupancy determination are described. In addition, a multi-well culture dish and an illumination assembly for bimodal imaging are described. These inventions find use at least in identifying or in facilitating identification of embryos and oocytes in vitro that are most useful in treating infertility in humans.

Abstract: A method and system for characterizing cell motion comprising: receiving image data corresponding to a set of images of a cell culture captured at a set of time points; segmenting, from at least one image of the set of images, a cell subpopulation from the cell culture; determining a resting signal for the cell subpopulation; determining a single-peak motion signal based upon the set of images, the set of time points, and the resting signal; detrending the single-peak motion signal of the cell subpopulation based upon the resting signal; determining values of a set of motion features of the cell subpopulation, thereby characterizing cell motion; and clustering the cell subpopulation with at least one other cell subpopulation based upon at least one of the single-peak motion signal and a value of the set of motion features.

Abstract: A method and system for characterizing cell motion comprising: receiving image data corresponding to a set of images of a cell culture captured at a set of time points; segmenting, from at least one image of the set of images, a cell subpopulation from the cell culture; determining a resting signal for the cell subpopulation; determining a single-peak motion signal based upon the set of images, the set of time points, and the resting signal; detrending the single-peak motion signal of the cell subpopulation based upon the resting signal; determining values of a set of motion features of the cell subpopulation, thereby characterizing cell motion; and clustering the cell subpopulation with at least one other cell subpopulation based upon at least one of the single-peak motion signal and a value of the set of motion features.

Abstract: A method and system for characterizing a cell population including a set of cell subpopulations, the method comprising: at a processing system, receiving image data corresponding to a set of images of the cell population captured at a set of time points; at the processing system, generating an analysis based upon processing the set of images according to: a cell stage classification module configured to automatically identify a cell class of each of the set of cell subpopulations, and a cell graph representation module configured to characterize geometric and spatial features of the set of cell subpopulations; from the analysis, determining a set of parameters characterizing the cell population; and generating an indication of quality of the cell population based upon a comparison between at least one parameter of the set of parameters and a set of reference values.

Abstract: Apparatuses, methods, and systems for the automated imaging and evaluation of human embryos, oocytes, or pluripotent cells are described. An apparatus and method for automated dish detection and well occupancy determination are described. In addition, a multi-well culture dish and an illumination assembly for bimodal imaging are described. These inventions find use at least in identifying or in facilitating identification of embryos and oocytes in vitro that are most useful in treating infertility in humans.