Together our results showed that anionic GNs penetrate skin better than cationic GNs.

No abstract

Three-dimensional (3D) printing technology has the advantage of enabling specific visualization of creative ideas. Since synchrotron based images can provide high sensitivity and high resolution, they are a very useful technology to identify the 3D anatomy of microscale samples. X-ray images using such synchrotron radiation are grafted to 3D printing technology. We can be obtained 3D images and modeling data of an ant using synchrotron radiation, and then, it were outputted with the 3D printer. A new way to identify the usefulness of the structure analysis is then found by visualizing the micro-internal structure of diverse biomedical samples and creating an enlarged model. This study suggests methods of utilizing a 3D printed model produced through synchrotron radiation imaging in various fields such as bioengineering, medical, and education.

Psoriasis is a chronic inflammatory skin disease that occurs in various forms throughout the body and is associated with certain conditions such as heart disease, diabetes, and depression. The psoriasis area severity index (PASI) score, a tool used to evaluate the severity of psoriasis, is currently used in clinical trials and clinical research. The determination of severity is based on the subjective judgment of the clinician. Thus, the disease evaluation deviations are induced. Therefore, we propose optimal algorithms that can effectively segment the lesion area and classify the severity. In addition, a new dataset on psoriasis was built, including patch images of erythema and scaling. We performed psoriasis lesion segmentation and classified the disease severity. In addition, we evaluated the best-performing segmentation method and classifier and analyzed features that are highly related to the severity of psoriasis. In conclusion, we presented the optimal techniques for evaluating the severity of psoriasis. Our newly constructed dataset improved the generalization performance of psoriasis diagnosis and evaluation. It proposed an optimal system for specific evaluation indicators of the disease and a quantitative PASI scoring method. The proposed system can help to evaluate the severity of localized psoriasis more accurately.