Molecular Devices Corporation

Moleculr Devices, LLC

Steve Luke

Avrum Isaac Cohen

Dihui Hong

Stephen Rhein

A high-content imaging system includes a stage, a controller, a machine learning system, and an image generator. The controller receives a request including an output imaging configuration and in response the controller: (1) selects a training model associated with the output imaging configuration, (2) determines an input imaging configuration associated with the training model, and (3) configures the high-content imaging system in accordance with the input imaging configuration. The machine learning system is configured using the training model so when the machine learning system is presented with an image acquired using the input imaging configuration, the machine learning system generates an output image in accordance with the output imaging configuration. The image generator generates an image of a sample on the stage and provides the generated image to the machine learning system and, in response, the machine learning system generates an output image in accordance with the output imaging configuration.

High-content imaging system to generate enhanced images and method of operating the same

A computer implemented system and method for generating a focus corrected image of a sample disposed on a sample holder of an imaging system is disclosed. The imaging system includes an image sensor and a lens moveable relative to the image sensor between a first position and a second position. A characteristic map of the lens is developed that associates coordinates of each pixel of an image generated by the imaging sensor with one of a first plurality of locations of the lens between the first position and the second position. An image generator develops an output pixel of a focus-corrected image of a sample from a plurality of images of the sample acquired when the lens is positioned at a corresponding one of a second plurality of locations of the lens between the first position and the second position. The image generator selects a second location in accordance with the characteristic map, an image from the plurality of images of the sample associated with the second location, and determines a value of the output pixel in accordance with a value of a pixel of the selected one of the plurality of images that corresponds to the output pixel.

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Downingtown, PA, United States of America

Steve Luke