Abstract: Image features are extracted from multiple variably-illuminated images, with the images acquired from a multi-camera array microscope. A sequence of images per camera is captured, with the illumination pattern varied between each image capture. After image capture, a post-processing algorithm finds keypoints of interest within the images captured by each camera. These features can be used to assist with stitching together images from the multi-camera array, in addition to image compression, object tracking or other automated tasks.

Abstract: A system and method for high resolution multi-fluorescence imaging with synchronized image acquisition amongst sensors can be used to simultaneously capture fluorescence signals from multiple fluorophores over extremely large fields of view. The system can include an array of micro-cameras, along with a particular arrangement of fluorescent filters that can be fixed in one location or moved to new locations.

Abstract: A method to capture microscopy images from multiple image sensors and to relay them to one or more central processing units while minimizing delay in image capture can include the co-optimization of image acquisition hardware, data aggregation digital logic, firmware, and integration with data post processing on the central processing units. The methods can include organizing the incoming image data into data packets containing partial image frames, together with configuring the central processing units to be capable of analyzing the received partial image frames. The quick analysis of the images, e.g., on the partial image frames, can allow the computational system to rapidly respond to the captured images, such as to provide feed back on the captured images before the next images are to be captured.

Abstract: A method to capture microscopy images from multiple image sensors and to relay them to one or more central processing units while minimizing delay in image capture can include the co-optimization of image acquisition hardware, data aggregation digital logic, firmware, and integration with data post processing on the central processing units. The methods can include organizing the incoming image data into data packets containing partial image frames, together with configuring the central processing units to be capable of analyzing the received partial image frames. The quick analysis of the images, e.g., on the partial image frames, can allow the computational system to rapidly respond to the captured images, such as to provide feed back on the captured images before the next images are to be captured.

Abstract: A system and method for high-resolution polarimetric imaging can include an array of micro-cameras to simultaneously capture polarized optical information from a wide area. Polarized illumination sources can be placed below and/or above the sample to direct polarized light to the sample during image capture. Post processing can be performed on the captured images to obtain polarimetric properties of the sample.

Abstract: A method to capture microscopy images from multiple image sensors and to relay them to one or more central processing units with high frame rates can include preprocessing the image data from the image sensors to reduce the sizes of the captured images, before sending the image data to a central processing station for analysis. Using multiple image sensors and an image reduction process, large image frames of over 20 megapixels and up to 1 gigapixel or more can be obtained at high imaging frame rates of 30 or more to up to hundreds or thousands of frames per second.

Abstract: An arrangement of one or more micro cameras are used in conjunction with computer controlled illumination to create a high-throughput microscope able to operate without the need of expensive scanning stages. A single unit contains a plurality of sensors, lenses tiled in such a way to cover a significant fraction of the desired field of view in a digital single acquisition. Mechanical stages and patterned illumination can then be used in conjunction with the system to enhanced the imaged depth of field, or create an acquisition stack to enhance the information acquired. Multiple units can be combined to obtain images of a single sample from different angles. The absence of mechanical stages makes the imaging system ideal for use in scenarios that require the sample to be in a climate and/or environmentally controlled chamber.