Abstract: Disclosed herein are platforms, systems, and methods including a cell culture system that includes a cell culture container comprising a cell culture, the cell culture receiving input cells, a cell imaging subsystem configured to acquire images of the cell culture, a computing subsystem configured to perform a cell culture process on the cell culture according to the images acquired by the cell imaging subsystem, and a cell editing subsystem configured to edit the cell culture to produce output cell products according to the cell culture process.

Abstract: Disclosed herein are platforms, systems, and methods including a cell culture system that includes a cell culture container comprising a cell culture, the cell culture receiving input cells, a cell imaging subsystem configured to acquire images of the cell culture, a computing subsystem configured to perform a cell culture process on the cell culture according to the images acquired by the cell imaging subsystem, and a cell editing subsystem configured to edit the cell culture to produce output cell products according to the cell culture process.

Abstract: Provided herein are, inter alia, methods and systems for detecting mucus in the lungs of a subject. Aspects provide methods and systems for the diagnosis, prognosis, characterization, detection, and treatment of asthma, chronic obstructive pulmonary disease, and type 2 inflammation.

Abstract: A method and apparatus are provided for transceiving a signal. The method includes the steps of transmitting a superposed frequency component of the signal within each of a plurality of non-adjacent frequency bands, using analogue or digital filters within a receiver to suppress all signals outside the plurality of frequency bands and to pass a filtered signal within the plurality of non-adjacent frequency bands, determining a set of substantially non-uniformly spaced times at which the filtered signal within the plurality of non-adjacent frequency bands should be sampled and sampling the filtered signal at the determined times to provide sampled data. The method further includes the steps of Fourier transforming subsets of the sampled data, linearly combining the Fourier transformed subsets using a reconstruction matrix and extracting the signal from the linear combinations of the Fourier transformed subsets.

Abstract: A method and apparatus are provided for acquiring and reconstructing an image. The method includes the steps of obtaining prior knowledge of the image, possibly by coarse sampling of the image and using the obtained prior knowledge of the image to identify relative locations of structures having relatively high contrast edges. The method further includes the steps of prescribing a set of k-space locations based upon the relative locations of the structures in order to achieve comparable eigenvalues of a reconstruction matrix and sampling the k-space at the prescribed k-space locations to obtain k-space sample data. The k-space sample data are decomposed into background data and edge data. The background data are Fourier transformed to reconstruct a background image component. Similarly, subsets of the edge data are Fourier transformed and the reconstruction matrix is used to form a linear combination of these Fourier transformations in order to reconstruct an edge image component.