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Spherical protein particles and methods for making and using them

This invention relates to SPPs, spherical nanocrystalline composite particles or crystalline SPPs of biologically active proteins or compositions, including formulations, comprising such SPPs, spherical nanocrystalline composite particles or crystalline SPPs.More particularly, methods are provided for the production of SPPs, spherical nanocrystalline composite particles or crystalline SPPs of high concentrations of biologically active proteins, and for the preparation of stabilized SPPs, spherical nanocrystalline composite particles or crystalline SPPs for use alone, or in dry or slurry compositions. This invention also relates to methods for stabilization, storage and delivery of biologically active proteins using SPPs, spherical nanocrystalline composite particles or crystalline SPPs.The present invention further relates to methods using SPPs, spherical nanocrystalline composite particles or crystalline SPPs, or compositions or formulations comprising such SPPs, spherical nanocrystalline composite particles or crystalline SPPs, for biomedical applications, including biological delivery to humans and animals.
Owner:ALTUS PHARMA INC

Digital holography reconstruction method based on iterated denoising shrinkage-thresholding algorithm

The invention discloses a digital holography reconstruction method based on an iterated denoising shrinkage-thresholding algorithm. The method comprises the following steps of 1, reading an original image, and acquiring diffraction light complex amplitude O(x, y) by using object light information of the original image, wherein the amplitude of the original image is O<0>(Xi, Eta); 2, intervening the diffraction light complex amplitude O(x, y) obtained through fresnel diffraction and reference light R(x, y) added with o and Pi second phase shift quantity to separately achieve light wave complex amplitude U<1>(x, y)/U<2>(x, y) on a holographic plate, laminating the two holographic images I<(1)> and I<(2)> to form a phase shift holographic image I-bar (x, y), constructing a sensing matrix A, and allowing y=Pi I-bar=Pi RO=AO, wherein Pi is a known measurement matrix, R is a spare basis matrix, and y expresses obtained observation data; and 4, figuring out and acquiring a reconstructed image of the original object by using the iterated denoising shrinkage-thresholding algorithm (IDNST). On the basis of TwIST algorithm, dual shrinkage of a threshold value and a regularization parameter are introduced to the IDNST algorithm, the signal-to-noise ratio can be improved, moreover, the convergence speed is increased, the reconstruction precision is improved, and the reproduction quality reaches a more excellent level.
Owner:XI AN JIAOTONG UNIV
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