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The article discusses the importance of rats in regenerative medicine research. It touches on wound healing using bone marrow derived cells and the artifical dermis.

Hexavalent chromium (Cr${}^{6+}$), a heavy metal ion, is widely used in a variety of industries, but it is an environmental pollutant and a recognized human carcinogen. Highly selective quantitative detection of Cr${}^{6+}$ is important for environmental pollution monitoring and early disease prevention in humans. In this study, nitrogen-containing carbon quantum dots (N-CQDs) were synthesized by hydrothermal carbonization of Pseudomonas aeruginosa and were found to be efficient detectors of Cr${}^{6+}$, with a detection limit (LOD) of 0.23 nmol L${}^{-1}$(nM). N-CQDs were detectable in plant leaves and onion cells and successfully stained cell membranes and nuclei. Multi-colored images revealed that in Caenorhabditis elegans, N-CQDs entered the digestive tract through ingestion, spared rapidly throughout the body, and were excreted though the anus within 40 min. Synthesis of fluorescent N-CQDs can be exploited to increase the use and a range of applications of bacterial resources. The study methods and results also provide theoretical guidance for future research into the development of bacterial resources.

Despite the emergence of numerous carbon dots (CDs)-based sensors, most of them are fluorescent probes. To improve the reliability of the results, using ratiometric fluorescence/UV-vis absorption dual-signal probes is an effective method. Herein, nitrogen and chlorine co-doped carbon dots (N, Cl-CDs) with yellow-green fluorescence were prepared and used as a dual-function probe for ratiometric fluorescence/UV-vis. The detection range of the fluorescence method was 0.05–78$\mu$M, and the limit of detection (LOD) was 1.2nM (3$\sigma$/s). For the colorimetric method, the linear range was 0.05–186$\mu$M with LOD of 10.7nM. Importantly, the N, Cl-CDs were successfully used to detect Quercetin (QT) in actual water samples. Besides, due to their good biocompatibility, the N, Cl-CDs were applied to in vivo biological imaging of oocysts and shown the potential for environmental survey and biological assay.

Microscopic imaging is one of the most common techniques for investigating biological systems. In recent years there has been a tremendous growth in the volume of biological imaging data owing to rapid advances in optical instrumentation, high-speed cameras and fluorescent probes. Powerful semantic analysis tools are required to exploit the full potential of the information content of these data. Semantic analysis of multi-modality imaging data, however, poses unique challenges. In this paper we outline the state-of-the-art in this area along with the challenges facing this domain. Information extraction from biological imaging data requires modeling at multiple levels of detail. While some applications require only quantitative analysis at the level of cells and subcellular objects, others require modeling of spatial and temporal changes associated with dynamic biological processes. Modeling of biological data at different levels of detail allows not only quantitative analysis but also the extraction of high-level semantics. Development of powerful image interpretation and semantic analysis tools has the potential to significantly help in understanding biological processes, which in turn will result in improvements in drug development and healthcare.

The potential of position sensitive solid state detectors for imaging radiolabelled samples has been widely investigated. Critical figures for the exploitation are the stability of the operation, the noise level and an efficient rejection of noise generated hits. Preliminary results on the operation of the MIMOSA5 monolithic active pixel sensor are reported.