Abstract: A computer readable storage medium is provided. When contents of the computer readable storage medium are executed by a processor, multi-photon imaging may be performed on a histopathological section containing tumor environment information, and pathological partitioning of a tumor microenvironment may be further performed through image processing. A value of each collagen feature parameters, such as a morphological feature parameter, an energy feature parameter and a texture feature parameter, may be extracted from a tumor tissue region, an invasive margin (IM) region and a normal tissue (N) region. An inter-region difference and a variation may be calculated according to feature parameters of regions. A collagen feature scoring model may be established. A collagen feature score may be calculated with the collagen feature parameters input to the model.

Abstract: A silicon-carbon composite material, a preparation method thereof, and a secondary battery are provided. The silicon-carbon composite material includes a silicon-carbon composite core and a carbon coating layer coated on the silicon-carbon composite core, and multiple closed pores are dispersed in the silicon-carbon composite core. The preparation method includes steps of (I) a surface modification treatment of a high-molecular polymer, (II) a preparation of a nano-silicon dispersion, (III) a preparation of a first precursor, (IV) a preparation of a second precursor, and (V) carbon coating. The closed pores in the silicon-carbon composite core can effectively alleviate the significant volume effect of silicon generated during lithium intercalation and deintercalation, and the combination of the silicon-carbon composite core and the carbon coating layer can ensure structural stability and high strength of the material.