Literature DB >> 22032200

A method for quick, low-cost automated confluency measurements.

Gil Topman1, Orna Sharabani-Yosef, Amit Gefen.   

Abstract

A culture's confluency is a fundamental measure in the field of biology, and routine quantification of confluence in cell culture protocols, biological assays and tissue engineering work is important. However, current techniques for obtaining confluency are either subjective, destructive, not simple enough, or time-consuming. We developed an image processing method for automated confluency measurement from a single microscope image without any chemical staining. To demonstrate utility we monitored the confluency of three cell types: NIH3T3 fibroblasts, C2C12 myoblasts, and 3T3L1 pre-adipocytes for 5 days, twice a day. The captured micrographs had different and uneven illumination, the cell types varied in cell-to-background contrast, and the confluency ranged between 10% and 100%. Despite these variable conditions, our method was shown to be practical, economic, and easy to implement, providing quantitative confluency measurements over time in each culture case. The method is hence suitable for routine automatic determination of confluency to standardize handling of cells, achieve reproducibility across trials, and improve accuracy in experimental outcome measures.

Mesh:

Year:  2011        PMID: 22032200     DOI: 10.1017/S1431927611012153

Source DB:  PubMed          Journal:  Microsc Microanal        ISSN: 1431-9276            Impact factor:   4.127


  9 in total

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2.  Counting unstained, confluent cells by modified bright-field microscopy.

Authors:  L Louis Drey; Michael C Graber; Jan Bieschke
Journal:  Biotechniques       Date:  2013-07       Impact factor: 1.993

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4.  Segmentation of phase contrast microscopy images based on multi-scale local Basic Image Features histograms.

Authors:  N Jaccard; N Szita; L D Griffin
Journal:  Comput Methods Biomech Biomed Eng Imaging Vis       Date:  2017-04-07

5.  Development of an optical system for the non-invasive tracking of stem cell growth on microcarriers.

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6.  Automated Cell Foreground-Background Segmentation with Phase-Contrast Microscopy Images: An Alternative to Machine Learning Segmentation Methods with Small-Scale Data.

Authors:  Guochang Ye; Mehmet Kaya
Journal:  Bioengineering (Basel)       Date:  2022-02-18

7.  Non-invasive and non-destructive measurements of confluence in cultured adherent cell lines.

Authors:  Steven Busschots; Sharon O'Toole; John J O'Leary; Britta Stordal
Journal:  MethodsX       Date:  2014-11-25

8.  Automated and online characterization of adherent cell culture growth in a microfabricated bioreactor.

Authors:  Nicolas Jaccard; Rhys J Macown; Alexandre Super; Lewis D Griffin; Farlan S Veraitch; Nicolas Szita
Journal:  J Lab Autom       Date:  2014-04-01

9.  Automated method for the rapid and precise estimation of adherent cell culture characteristics from phase contrast microscopy images.

Authors:  Nicolas Jaccard; Lewis D Griffin; Ana Keser; Rhys J Macown; Alexandre Super; Farlan S Veraitch; Nicolas Szita
Journal:  Biotechnol Bioeng       Date:  2013-10-05       Impact factor: 4.530

  9 in total

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