Abstract: Provided are an image processing method and apparatus, a device, a medium, and a product, and relates to the field of image processing. The image processing method includes: acquiring atomic samples in Bose-Einstein condensate, and obtaining experimental images with absorption imaging; preprocessing the experimental images, and labeling a color picture obtained by the preprocessing to generate a training sample set; training a YOLOv5s network with the training sample set, and taking a well-trained network as an atomic cloud region localization network; inputting experimental images of to-be-tested atoms to the atomic cloud region localization network to obtain an atomic cloud region localization result; and refining the atomic cloud region localization result with grid search, performing Gaussian fitting on each grid to obtain a goodness-of-fit, and selecting an atomic parameter corresponding to a grid having a highest goodness-of-fit as a final fitting result.

Abstract: The production device includes a laser incident unit, a scientific chamber, a reflection unit, and a light path coincidence calibration unit detachably arranged. The light path coincidence calibration unit includes: a fourth polarizing beam splitter, a fourth half-wave plate and a fifth half-wave plate sequentially arranged on a laser path of the laser incident unit; and an optical power probe arranged on the reflection path of the fourth polarizing beam splitter. The fourth half-wave plate and the fifth half-wave plate are adjusted so that the light is reflected when passing through the fourth polarizing beam splitter. The optical power probe can receive the reflected light, the angle of the reflected light can be changed by adjusting the reflection unit; the angle change of the reflected light may directly influence the intensity of the reflected light received by the optical power probe.

Abstract: The invention provides processes of preparing a peptide including a GCC agonist sequence selected from the group consisting of SEQ ID NOs: 1-249 described herein.

Abstract: The invention provides processes of preparing a peptide including a GCC agonist sequence selected from the group consisting of SEQ ID NOs: 1-249 described herein.

Abstract: The invention provides processes of preparing a peptide including a GCC agonist sequence selected from the group consisting of SEQ ID NOs: 1-249 described herein.

Abstract: A method for covalently cross-linking hyaluronic acid (HA) and hydroxypropyl methylcellulose (HPMC) by a diepoxide crosslinking agent. The method includes the following steps: a) mixing HA and HPMC in water; b) adding an alkali as a catalyst and a diepoxide as a crosslinking agent; c) neutralizing with hydrochloric acid and dehydrating with ethanol and acetone; and d) drying in vacuum and redissolving in water to obtain an HA-HPMC composite gel.

Abstract: The invention provides processes of preparing a peptide including a GCC agonist sequence selected from the group consisting of SEQ ID NOs: 1-249 described herein.