细胞识别

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  • cell recognition
细胞识别细胞识别
  1. 基于奇异值分解的显微图像重叠细胞识别

    Micro Image Overlapped Cell Recognition Based on Singular Value Decomposition

  2. 基于神经网络和小波分析的血细胞识别算法

    Blood cell recognition based on neural network and wavelet analysis

  3. 最后,基于BP神经网络识别算法完成了活体骨髓瘤细胞识别。

    At last , living tumor cells image recognition is proposed based on BP neural network .

  4. 基于改进LBP特征的白细胞识别

    Leukocyte Classification Based On an Enhanced Local Binary Pattern Feature

  5. 芸苔属植物SI不仅是植物细胞识别、信号转导的模式系统,而且在植物生殖生物学研究中具有重要的意义。

    The Brassica SI is not only a model system for cell-cell recognition and signal transduction , but also an important event for breeding in plant .

  6. 抗小鼠TLR-2胞外段B细胞识别表位抗体抑制肉瘤生长的初步研究

    Inhibition of fibrosarcoma growth in mice by antibody against B cell epitope on mouse Toll-like receptor-2 extracellular domain

  7. 在抗体发育的最后阶段,抗体生成B细胞识别病原体的特定部分,然后变异或者成熟,所以抗体可以结合病原体更加牢固。

    In the final stage of antibody development , antibody-producing B cells recognize specific parts of a pathogen and then mutate , or mature , so the antibody can bind to the pathogen more firmly .

  8. 短蛋白片段嵌和在MHC蛋白中,即为T细胞识别位点。

    Short protein fragments fit into the MHC proteins , where they are seen and recognized by T cells .

  9. Th细胞识别的表位可能在3949肽段,B细胞识别的表位可能主要在1318残基或其附近,为分子免疫学的深入研究提供了线索。

    But of the C-terminal sequence is of polymorphism I the epitope recognized by Th cells may be at 39 - 49 , and by B cells at or adjacent to 13 - 18 .

  10. 结论超抗原合成肽结合CD28抗体的方法对寻找超抗原T细胞识别表位是切实可行的。

    Conclusions The method of synthetic peptides plus anti-CD28 antibody was feasible for locating T cell epitopes on superantigens .

  11. 许多科学家推测尽管两个体间MHC分子形状差异,他们也许共同拥有为T细胞识别的一些类似之处。

    Many scientists suspected that although the shape of MHC molecules varies between individuals , they might share some similarity that T cells receptors could recognize .

  12. B细胞识别抗原蛋白分子上的天然构象表位,并且对表位不同结构的识别,其引起的体液免疫应答在抗病毒感染中的作用也千差万别。

    The functions exerted by B cells are primordially to recognize the epitopes distributed on the proteins of virus in their native form . Depending on the epitope recognized , the outcome of humoral response to viral infections will in turn be changed .

  13. 一类为人工合成可降解材料,如PGA、PLA等,但两者在来源、塑形能力及细胞识别信号等方面存在不足。

    The other is artificial synthesis material , such as PLA , PGA , et al . All these materials have deficiency in source , moulding ability and cells recognition .

  14. 目的观察抗小鼠TLR-2胞外段B细胞识别表位抗体对小鼠肉瘤S180生长的影响。

    Objective To observe the effect of the antibody to a B cell epitope on mouse Toll-like receptor-2 ( mTLR-2 ) extracellular domain on the growth of murine fibrosarcoma .

  15. 目前认为是髓鞘糖蛋白(MOG)作为自身抗原被自身反应性T细胞识别,这些自身反应的T细胞通过血脑屏障迁移到中枢系统,诱导炎症的发生。

    It is demonstrated recently that auto reactive T cells identify myelin as special antigen , cross the blood-brain barrier and trigger the disease .

  16. 而炎症因子(TNF-α等)可以抑制吞噬细胞识别凋亡细胞;蛋白水解酶可以溶解消耗吞噬细胞及凋亡细胞表面的凋亡蛋白受体(sFas增多),阻止吞噬细胞摄取凋亡细胞。

    And inflammatory factor ( TNF - α, etc. ) can inhibit apoptosis phagocytes identification ; proteolytic enzymes can be dissolved consumption phagocytes and apoptosis of the cell surface receptor protein apoptosis ( sFas increase ), to prevent phagocytic uptake apoptosis .

  17. 富含亮氨酸重复序列的类受体蛋白激酶(LRR-RLKs)在植物的生长发育过程中起到非常重要的作用,如细胞识别,抵抗病原体的入侵以及自交不亲和反应。

    Leucine-rich repeat receptor-like kinases ( LRR-RLKs ) play key roles in the cell-cell recognition process during development , defense against pathogens , and self incompatibility .

  18. 而时间决定论则认为T细胞识别抗原的过程为动力学所支配,它依赖于T细胞和APC表面受体/配体对(特别是抗原性pMHC与TCR的作用对)的相互作用动力学。

    While the time-dependent mechanism insists that T cell antigen recognition is dominated by the dynamics which depends on the interaction kinetics of various receptor / ligand pairs ( esp. , the antigenic pMHC / TCR pair ) between T cell and APC .

  19. 基于人工神经网络的子宫颈癌细胞识别

    The Recognition of the Cervical Smear Based on Artificial Neural Network

  20. 一种探找超抗原T细胞识别表位的新方法

    A new method for locating T cell epitopes on superantigens

  21. 白细胞识别与计量生物传感器的研究

    A Study on the Voltammetric Biosensor for Discriminating and Counting Human Leukocyte

  22. 基于分类器融合的骨髓细胞识别研究

    Study of Marrow Cell Recognition Based on Multiple Classifier Fusion

  23. 基于形态学与神经网络的骨髓细胞识别研究

    Study on Recognition of Marrow Cell Image Based on Morphology and Neural Networks

  24. 但对于细胞识别的功能则应另行探讨。

    Nevertheless , the function for the cell identification should be under investigation .

  25. 横切木材材种细胞识别试件视频模拟理论

    Video Simulation Theory for Timber Transect Cell Structure

  26. 一种骨髓细胞识别方法的研究

    Studies on the Recognition of Marrow Cell Image

  27. 在相当长的一段时间里,各种自动白细胞识别方法已被广泛的应用。

    For a long time , various automatically leukocyte distinction methods have been used .

  28. 基于色度学与形态学相结合的细胞识别研究

    Cell recognition research based on colorimetry and morphology

  29. 宫颈癌细胞识别系统研究与设计

    Research and Design of the System Base on Identifying of the Neck Cancer Cell

  30. 基于多源信息融合方法的骨髓转移性肿瘤细胞识别

    The recognition of tumor cell of bone marrow involvement based on multi-sources information fusion method