Abstract
Soft tissues in the human body are almost in soft and wet gel-like state, containing 50-80 % amounts of water. In the scene of developing medical devices and materials, the importance of characterizing the structure and mechanical properties of gels is rising. However, the frozen inhomogeneities in gels make it difficult to observe the structure of gels by scattering method. To solve this difficulty, scanning microscopic light scattering (SMILS) was originally developed. Here our aim is improvement of SMILS to visualize the data. We tried to develop a new apparatus and implement original software to the Visual-SMILS. A pinhole was added to the Visual-SMILS to detect the scattered light at the angle exactly and to suppress the excess of the scattered light. We succeeded in reducing experimental errors and converting the analysis data to the image simply for the size distribution with the visual-SMILS.
