Cell confluency analysis on microcarriers by micro-flow imaging

被引:13
|
作者
Farrell, Christopher J. [1 ]
Cicalese, Stephanie M. [2 ]
Davis, Harrison B. [3 ]
Dogdas, Belma [4 ]
Shah, Tosha [4 ]
Culp, Tim [1 ]
Hoang, Van M. [1 ]
机构
[1] Merck & Co Inc, Vaccine Analyt Dev, 770 Sumneytown Pike, West Point, PA 19486 USA
[2] Eurofins Lancaster Labs, Profess Sci Serv, Lancaster, PA USA
[3] Merck & Co Inc, Vaccine Drug Prod Dev, West Point, PA USA
[4] Merck & Co Inc, Appl Math & Modeling, Rahway, NJ 07065 USA
关键词
Microcarriers; Micro-flow Imaging; Confluency; Mammalian cell culture; ANCHORAGE-DEPENDENT CELLS; EMBRYONIC STEM-CELLS; SUSPENSION-CULTURE; VIRUS; EXPANSION; PARTICLES; PRODUCTS; DISEASE; SYSTEM; GROWTH;
D O I
10.1007/s10616-016-9967-0
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
The productivity of cell culture-derived vaccines grown in anchorage-dependent animal cells is limited by bioreactor surface area. One way to increase the available surface area is by growing cells as monolayers on small spheres called microcarriers, which are approximately 100-250 mu m in diameter. In order for microcarrier-based cell culture to be a success, it is important to understand the kinetics of cell growth on the microcarriers. Micro-flow imaging (MFI) is a simple and powerful technique that captures images and analyzes samples as they are drawn through a precision flow cell. In addition to providing size distribution and defect frequency data to compare microcarrier lots, MFI was used to generate hundreds of images to determine cell coverage and confluency on microcarriers. Same-day manual classification of these images provided upstream cell culture teams with actionable data that informed in-process decision making (e.g. time of infection). Additionally, an automated cell coverage algorithm was developed to increase the speed and throughput of the analyses.
引用
收藏
页码:2469 / 2478
页数:10
相关论文
共 50 条
  • [1] Cell confluency analysis on microcarriers by micro-flow imaging
    Christopher J. Farrell
    Stephanie M. Cicalese
    Harrison B. Davis
    Belma Dogdas
    Tosha Shah
    Tim Culp
    Van M. Hoang
    Cytotechnology, 2016, 68 : 2469 - 2478
  • [2] Analysis of Cell Aggregation In Thawed Hematopoietic Stem Cell Products Using Micro-Flow Imaging.
    Wu, Luke
    Martin, Teresa
    Halpenny, Michael
    Giulivi, Antonio
    Allan, David S.
    BLOOD, 2010, 116 (21) : 510 - 511
  • [3] Value of micro-flow imaging and high-definition micro-flow imaging in differentiating malignant and benign breast lesions
    Luo, R.
    Zhang, Y.
    Jiang, W.
    Wang, Y.
    Luo, Y.
    CLINICAL RADIOLOGY, 2024, 79 (01) : e48 - e56
  • [4] Analysis of subvisible particles in protein therapeutics using Micro-flow Imaging
    Sharma, Deepak
    Merchant, Clark
    Oma, Peter
    King, Dave
    Thomas, Dave
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2011, 241
  • [5] Cell aggregation in thawed haematopoietic stem cell products visualised using micro-flow imaging
    Wu, L.
    Martin, T.
    Li, Y.
    Yang, L.
    Halpenny, M.
    Giulivi, A.
    Allan, D. S.
    TRANSFUSION MEDICINE, 2012, 22 (03) : 218 - 220
  • [6] Monitoring Simulated Bioflocculation: Application of Micro-Flow Imaging Technology
    Kollu, Kerim
    Oermeci, Banu
    WATER AIR AND SOIL POLLUTION, 2015, 226 (03):
  • [7] Micro-Flow Imaging: Flow Microscopy Applied to Sub-visible Particulate Analysis in Protein Formulations
    Deepak K. Sharma
    Dave King
    Peter Oma
    Clark Merchant
    The AAPS Journal, 2010, 12 : 455 - 464
  • [8] Monitoring Simulated Bioflocculation: Application of Micro-Flow Imaging Technology
    Kerim Kollu
    Banu Örmeci
    Water, Air, & Soil Pollution, 2015, 226
  • [9] Development of micro-flow sensor with a type of micro-electrolytic cell
    Zhang, Xiao-Juan
    Wu, Yi-Hui
    Jia, Hong-Guang
    Zhang, Ping
    Wang, Shu-Rong
    Xuan, Ming
    Weixi Jiagong Jishu/Microfabrication Technology, 2007, (01): : 41 - 45
  • [10] The Application of Parametric Micro-Flow Imaging in the Evaluation of Liver Fibrosis
    Huang, Shijia
    Liang, Ping
    Yu, Xiaoling
    Wang, Zhanbo
    Cheng, Zhigang
    Han, Zhiyu
    Yu, Jie
    Liu, Fangyi
    Zhang, Min
    Zhang, Dezhi
    ULTRASOUND QUARTERLY, 2018, 34 (03) : 148 - 155