Identification of Biochemical Differences in White and Brown Adipocytes Using FTIR Spectroscopy

This study was conducted to investigate the developmental characteristics of adipocytes and to identify selectively white and brown adipocytes through Fourier transform infrared (FTIR) spectroscopy. For the developmental characterization of adipocytes, cells and conditioned media of white and brown adipocytes were respectively collected and analyzed. A higher amide I/amide II ratio was observed in the conditioned medium of brown adipocyte than in that of white adipocyte, indicating differences in secretory protein profiles. In contrast, an amide I/amide II ratio was higher in white adipocytes than in brown adipocytes, and mature adipocytes have higher lipid amounts than pre-adipocytes. Lipid acyl chain length was the longest in white adipocytes. These differences suggested that FTIR spectroscopy can be used to characterize developmental stages and/or types of adipocytes. To identify the possibility of selectively classifying adipose-derived stem cells, FTIR spectroscopy spectra were obtained in cells before/after white/brown adipocyte differentiation using FTIR spectroscopy and then analyzed by the principal component analysis method. All data indicated that the discrimination between adipocytes was possible in the analysis of the infrared spectroscopy spectrum by the principal component analysis technique. This study suggested the possibility of FTIR spectroscopy as a new type of cell sorting system without tagging

Firewall ruleset visualization analysis tool based on segmentation

Although most companies operate a firewall to protect their information assets, they have difficulties in identifying the control conditions of firewalls. This study proposes an analysis tool to visualize segment-based firewall rules to facilitate verification of the current control conditions. The proposed visualization tool analyzes the current control conditions of packets automatically, thereby eliminating the need for manual inspection as before, and displays the conditions with a visualization model to allow them to be easily verified. This enables managers to perform fast and accurate verification to assess whether packets are allowed or denied. This present study involved implementing the proposed visualization tool, and simulations were conducted to verify that the proposed approach was achievable. The present study also included conducting interviews with firewall experts whose feedback was positive. A video of the proposed visualization tool can be found on the following web site: https://youtu.be/q4HMnBvXbk