Abstract: A self-referencing spectral constraint-based spectral reconstruction method and apparatus, a device, and a medium are provided. The method includes: acquiring a total transmission matrix through a calibration; acquiring each observed speckle generated after target light passes through each filtering interval of a spectral filter to enter a scattering medium, where all observed speckles form a total observed speckle; forming a self-referencing spectrum based on total intensities of each observed speckle; and constructing a spectral reconstruction model based on a neural network and a physical forward process of the total transmission matrix, constructing a composite loss function based on a speckle intensity estimation error and a self-referencing spectrum error, and optimizing the parameters of the neural network via the composite loss function until convergence, thereby yielding an optimized neural network for spectral reconstruction for a given total observed speckle.

Abstract: The present application provides tumor microenvironment acidity activated anti-CD3 constructs that bind to CD3 (e.g., anti-CD3 monoclonal and multispecific antibodies), nucleic acid molecules encoding an amino acid sequence of the anti-CD3, vectors comprising the nucleic acid molecules, host cells containing the vectors, methods of preparing the anti-CD3 construct, pharmaceutical compositions containing the anti-CD3 construct, and methods of using the anti-CD3 construct or compositions.

Abstract: The present application provides tumor microenvironment acidity activated anti-CD3 constructs that bind to CD3 (e.g., anti-CD3 monoclonal and multispecific antibodies), nucleic acid molecules encoding an amino acid sequence of the anti-CD3, vectors comprising the nucleic acid molecules, host cells containing the vectors, methods of preparing the anti-CD3 construct, pharmaceutical compositions containing the anti-CD3 construct, and methods of using the anti-CD3 construct or compositions.