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We describe a simple bottom-up strategy to generate [Au(SPh)]n (SPh: thiophenolate) coordination polymer (CP) based thin films by employing an interfacial self-assembly on a nylon substrate. This m...

The problem of pose estimation of a simple-shaped object using an RGBD camera is addressed with the purpose of developing a robot capable of arranging goods. The demand for robots capable of arranging goods in retail stores is high. However, the goods are usually simple in shape such as a rectangular box or triangular prism, and it is difficult to estimate the pose using conventional methods based on shape features, without a given rough pose as an initial value. In this study, a new concept called PoseClass is proposed, in which the object surface placed on the shelf is treated as a class, and a Deep Neural Network (DNN) is developed, which while estimating the PoseClass also outputs the pose. The developed method is 3.8 times more accurate than previous DNN-based methods.

A new label-free in situ monitoring system for the hybridization chain reaction (HCR) based on DNA minor-groove-binding fluorophores [Hoechst 33258 (Hoe) or quinone cyanine-dithiazole (QCy-DT)] has been developed. Use of two unmodified hairpin oligodeoxyribonucleotides containing incomplete double-stranded AATT sequences enabled target-dependent formation of probe binding sites-that is, AATT double strand-in the HCR product, together with fluorescence enhancement of minor-groove-binding fluorophores in situ. This system allows target DNA to be detected through the fluorescence enhancement of Hoe and QCy-DT in real time and in situ. Further development of a label-free, isothermal detection system might provide a cost-effective and user-friendly method for nucleic acid detection.