Abstract: The present disclosure belongs to the field of computational hydraulics and aims at providing a construction method and system for a hydrodynamic joint computation model, a device, and a medium.

Abstract: The invention generally relates to systems and method for deep learning driven adaptive optics for single molecule localization microscopy. In certain aspects, the invention provides a system comprising: an imaging apparatus configured for conducting single-molecule localization microscopy (SMLM), wherein the imaging apparatus comprises a deformable mirror and a dynamic filter; and a processor operably associated with the imaging apparatus. In certain embodiments, the processor is configured to: monitor individual emission patterns produced via the imaging apparatus from a plurality of different single molecules in a sample; infer shared wavefront distortion for each of the individual emission patterns; provide the shared wavefront distortion for each of the individual emission patterns through the dynamic filter; and operate the deformable mirror to compensate for sample induced aberrations.

Abstract: The present disclosure provides compositions and methods for selectively killing cancer cells, wherein the composition comprises a compound of Formula (I). The selective killing of cancer cells occurs with an improved potency and safety profile compared to similar compounds. In particular, the compositions and methods of the invention show reduced platelet toxicity and retained or improved toxicity in cancer cells.

Abstract: A fluorescent single molecule emitter simultaneously transmits its identity, location, and cellular context through its emission patterns. A deep neural network (DNN) performs multiplexed single-molecule analysis to enable retrieving such information with high accuracy. The DNN can extract three-dimensional molecule location, orientation, and wavefront distortion with precision approaching the theoretical limit of information content of the image which will allow multiplexed measurements through the emission patterns of a single molecule.

Abstract: A fluorescent single molecule emitter simultaneously transmits its identity, location, and cellular context through its emission patterns. A deep neural network (DNN) performs multiplexed single-molecule analysis to enable retrieving such information with high accuracy. The DNN can extract three-dimensional molecule location, orientation, and wavefront distortion with precision approaching the theoretical limit of information content of the image which will allow multiplexed measurements through the emission patterns of a single molecule.

Abstract: The invention is directed towards compounds (e.g., Formula (I)), their mechanism of action, and methods of modulating proliferation activity, and methods of treating diseases and disorders using the compounds described herein (e.g., Formula (I)).

Abstract: A fluorescent single molecule emitter simultaneously transmits its identity, location, and cellular context through its emission patterns. A deep neural network (DNN) performs multiplexed single-molecule analysis to enable retrieving such information with high accuracy. The DNN can extract three-dimensional molecule location, orientation, and wavefront distortion with precision approaching the theoretical limit of information content of the image which will allow multiplexed measurements through the emission patterns of a single molecule.

Abstract: In a hybrid computing system including at least one analog processor and at least one digital processor an embedded problem is repeatedly run or executed on the analog processor(s) to generate a first plurality of candidate solutions to the computational problem, the candidate solutions are returned to the digital processor(s) which determine a value for at least one statistical feature of the candidate solutions, at least one programmable parameter of the plurality of analog devices in the analog processor(s) is adjusted to at least partially compensate for deviations from an expected value of the at least one statistical feature, the expected value of the at least one statistical feature inferred from the structure of the embedded problem, the embedded problem is again repeatedly run or executed on the analog processor(s) to generate a second plurality of candidate solutions to the computational problem.

Abstract: The present disclosure provides compositions and methods for selectively killing senescent cells, wherein the composition comprises a compound of Formula (I) or a compound of Formula (II). The selective killing of senescent cells may delay aging and/or treat age-related disorders.