基于改进的Hough算法的细胞破碎智能监测计数系统
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摘要
为提高细胞内产物的产量以及质量,结合机器视觉技术,在传统Hough图像识别算法以及现有的细胞破碎装置的基础上进行改进,提出了一种应用于细胞破碎的智能监测计数系统的设计方案。该方案以光学放大电路、CCD图像传感电路为硬件平台,辅以机器视觉技术、图像处理算法实现对细胞破碎过程的图像监测及计数统计。在线实验监测表明,该智能监测计数系统能够完成对细胞破碎的统计计数,其识别速度相对于标准的Hough图像识别算法提高了近10倍,并能实时捕捉细胞破碎图像,可应用于细胞破碎产物的自动化提取。
In order to improve product yield and quality in the cell,based on machine vision technology,the traditional Hough image recognition algorithm and on the basis of the existing cell crushing plant was improved,proposes a project to intelligent monitoring cell broken counting system. This scheme uses optical amplification circuit and CCD image sensor circuit as hardware platform,which is assisted by machine vision technology and image processing algorithm to realize image monitoring and counting statistics of cell crushing process. Cell broken online experiment indicated that the intelligent monitoring and counting system can complete statistical counting of cells broken,and real-time capture of broken images.The recognition speed improves nearly 10 times compared with the standard Hough image recognition algorithm; it can be applied to automated extraction intracellular substances in cell.
In order to improve product yield and quality in the cell,based on machine vision technology,the traditional Hough image recognition algorithm and on the basis of the existing cell crushing plant was improved,proposes a project to intelligent monitoring cell broken counting system. This scheme uses optical amplification circuit and CCD image sensor circuit as hardware platform,which is assisted by machine vision technology and image processing algorithm to realize image monitoring and counting statistics of cell crushing process. Cell broken online experiment indicated that the intelligent monitoring and counting system can complete statistical counting of cells broken,and real-time capture of broken images.The recognition speed improves nearly 10 times compared with the standard Hough image recognition algorithm; it can be applied to automated extraction intracellular substances in cell.
引文
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[25] Surat S,Das P K. Fuzzy Hough transform and an MLP with fuzzy input/output for character recognition[J].Fuzzy Sets&Systems,1999,105(3):489-497.
[2] Kashyap A,Autebert J,Delamarche E,et al. Selective local lysis and sampling of live cells for nucleic acid analysis using a microfluidic probe[J]. Scientific Reports,2016,6:29579.
[3] Sandetskaya N,Moos D,P9tter H,et al. An integrated versatile lab-on-a-chip platform for the isolation and nucleic acid-based detection of pathogens[J]. Future Science Oa,2017,3(2):FSO177.
[4] Talebpour A,Maaskant R,Khine A A,et al. Use of surface enhanced blocking(SEB)electrodes for microbial cell lysis in flow-through devices[J]. PLOS ONE,2014,9(10):e111288.
[5] Piao H, Chi Y, Zhang Z, et al. Suramin inhibits antibody binding to cell surface antigens and disrupts complement-mediated mesangial cell lysis[J]. Journal of Pharmacological Sciences,2016,132(4):224-234.
[6] Cheng F,Hou L,Woeste K,et al. Soil pretreatment and fast cell lysis for direct polymerase chain reaction from forest soils for terminal restriction fragment length polymorphism analysis of fungal communities[J]. Journal of Microbiology,2016,47(4):817-827.
[7] Ng E X,Miller M A,Jing T Y,et al. Single cell multiplexed assay for proteolytic activity using droplet microfluidics[J]. Biosensors&Bioelectronics,2016,81:408–414.
[8] Islam M S,Aryasomayajula A,Selvaganapathy P. A Review on Macroscale and Microscale Cell Lysis Methods[J]. Micromachines,2017,8(3):83.
[9] Lounsbury J A, Nambiar S M, Karlsson A, et al.Enhanced recovery of spermatozoa and comprehensive lysis of epithelial cells from sexual assault samples having a low cell counts or aged up to one year[J]. Forensic sci Int Genet,2014,8(1):84-89.
[10] Newton J M, Schofield D, Vlahopoulou J, et al.Detecting cell lysis using viscosity monitoring in E. coli fermentation to prevent product loss[J]. Biotechnology progress,2016,32(4):1069-1076.
[11]刘会敏,郭娟,杨霄.流式细胞计数法评定不同抗凝剂对骨髓样本红细胞的裂解作用[J].中国卫生检验杂志,2014,24(2):221-222.
[12] Nguyen J,Wei Y,Zheng Y,et al. On-chip sample preparation for complete blood count from raw blood[J].Lab on a Chip,2015,15(6):1533-1544.
[13] Roberts I,Shakur H,Fawole B,et al. Haematological and fibrinolytic status of Nigerian women with postpartum haemorrhage[J]. Bmc pregnancy&childbirth,2018,18(1):143.
[14] Chen S X,Wang J Z,Van Kessel J S,et al. Effect of somatic cell count in goat milk on yield, sensory quality,and fatty acid profile of semisoft cheese[J].Journal of Dairy Science,2010,93(4):1345-1354.
[15] Green M J,Bradley A J,Medley G F,et al. Cow,Farm,and Herd Management Factors in the Dry Period Associated with Raised Somatic Cell Counts in Early Lactation[J]. Journal of Dairy Science,2008,91(4):1403-1415.
[16] Mazal G,Vianna P C,Santos M V,et al. Effect of Somatic Cell Count on Prato Cheese Composition[J].Journal of Dairy Science,2007,90(2):630-636.
[17] Green M J,Bradley A J,Newton H,et al. Seasonal variation of bulk milk somatic cell counts in UK dairy herds:Investigations of the summer rise[J]. Preventive Veterinary Medicine,2006,74(4):293-308.
[18] Berry D P,O'Brien B,O'Callaghan E J,et al.Temporal Trends in Bulk Tank Somatic Cell Count and Total Bacterial Count in Irish Dairy Herds During the Past Decade[J]. Journal of Dairy Science,2006,89(10):4083-4093.
[19] Calus M P L,Janss L L G,Veerkamp R F. Genotype by Environment Interaction for Somatic Cell Score Across Bulk Milk Somatic Cell Count and Days in Milk[J].Journal of Dairy Science,2006,89(12):4846-4857.
[20] Connor M A,Jaso-Friedmann L,Leary J H 3rd,et al.Role of nonspecific cytotoxic cells in bacterial resistance:Expression of a novel pattern recognition receptor with antimicrobial activity[J]. Molecular Immunology,2009,46(5):953-961.
[21] Jeannin P,Jaillon S,Delneste Y. Pattern recognition receptors in the immune response against dying cells[J]. Current Opinion in Immunology,2008,20(5):530-537.
[22]陈华,张志娟,刘刚,等.基于局部纹理特性和图像分割的分步立体匹配[J].计量学报,2017,38(1):73-77.
[23] Gonzalez R C,Woods R E.数字图像处理[M]. 2版.阮秋琦,阮宇智,译.北京:电子工业出版社,2007.
[24] Kempczynski A,Grzegorzewski B. Estimation of red blood cell aggregate velocity during sedimentation using the Hough transform[J]. Optics Communications,2008,281(21):5487-5491.
[25] Surat S,Das P K. Fuzzy Hough transform and an MLP with fuzzy input/output for character recognition[J].Fuzzy Sets&Systems,1999,105(3):489-497.