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        Slow Feature Analysis for Mitotic Event Recognition

        ( Jinghui Chu ),( Hailan Liang ),( Zheng Tong ),( Wei Lu ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.3

        Mitotic event recognition is a crucial and challenging task in biomedical applications. In this paper, we introduce the slow feature analysis and propose a fully-automated mitotic event recognition method for cell populations imaged with time-lapse phase contrast microscopy. The method includes three steps. First, a candidate sequence extraction method is utilized to exclude most of the sequences not containing mitosis. Next, slow feature is learned from the candidate sequences using slow feature analysis. Finally, a hidden conditional random field (HCRF) model is applied for the classification of the sequences. We use a supervised SFA learning strategy to learn the slow feature function because the strategy brings image content and discriminative information together to get a better encoding. Besides, the HCRF model is more suitable to describe the temporal structure of image sequences than nonsequential SVM approaches. In our experiment, the proposed recognition method achieved 0.93 area under curve (AUC) and 91% accuracy on a very challenging phase contrast microscopy dataset named C2C12.

      • Fe<sub>3</sub>O<sub>4</sub> magnetic nanoparticles provide a novel alternative strategy for Staphylococcus aureus bone infection

        Youliang, Ren,Jin, Yang,Jinghui, Zhang,Xiao, Yang,Lei, Shi,Dajing, Guo,Yuanyi, Zheng,Haitao, Ran,Zhongliang, Deng,Lei, Chu Techno-Press 2022 Advances in nano research Vol.13 No.6

        Due to its biofilm formation and colonization of the osteocyte-lacuno canalicular network (OLCN), Staphylococcus aureus (S.aureus) implant-associated bone infection (SIABI) is difficult to cure thoroughly, and may occur recurrently subsequently after a long period dormant. It is essential to explore an alternative therapeutic strategy that can eradicate the pathogens in the infected foci. To address this, the polymethylmethacrylate (PMMA) bone cement and Fe3O4 nanoparticles compound cylinder were developed as implants based on their size and mechanical properties for the alternative magnetic field (AMF) induced thermal ablation, The PMMA mixed with optimized 2% Fe<sub>3</sub>O<sub>4</sub> nanoparticles showed an excellent antibacterial efficacy in vitro. It was evaluated by the CFU, CT scan and histopathological staining on a rabbit 1-stage transtibial screw model. The results showed that on week 7, the CFU of infected soft tissue and implants, and the white blood cells (WBCs) of the PMMA+2% Fe<sub>3</sub>O<sub>4</sub>+AMF group decreased significantly from their controls (p<0.05). PMMA+2% Fe<sub>3</sub>O<sub>4</sub>+AMF group did not observe bone resorption, periosteal reaction, and infectious reactive bone formation by CT images. Further histopathological H&E and Gram Staining confirmed there was no obvious inflammatory cell infiltration, neither pathogens residue nor noticeably burn damage around the infected screw channel in the PMMA+2% Fe<sub>3</sub>O<sub>4</sub>+AMF group. Further investigation of nanoparticle distributions in bone marrow medullary and vital organs of heart, liver, spleen, lung, and kidney. There were no significantly extra Fe<sub>3</sub>O<sub>4</sub> nanoparticles were observed in the medullary cavity and all vital organs either. In the current study, PMMA+2% Fe<sub>3</sub>O<sub>4</sub>+AMF shows promising therapeutic potential for SIABI by providing excellent mechanical support, and promising efficacy of eradicating the residual pathogenic bacteria in bone infected lesions.

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