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Cell Counting and Image Cytometry

Suspension Cell Counting

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Suspension Cell Counting
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Suspension Cell Counting

Whole-well imaging for reliable counting of non-uniform cell populations

celigo cell counting whole well image

Monitor cell growth and perform live cell analysis of proliferation using label-free brightfield imaging


Brightfield images showing cell proliferation

celigo cell counting monitor cell growth

During a proliferation assay, the number of cells increased from 49323 cells on day 0 to 80621 cells on day 3 (curve on right).
 


Monitor cell proliferation over time

celigo cell counting growth tracking

Live cell analysis of total and PI-positive suspension cells at an increasing drug concentration

Well D2 D4 D8
BF 87925 57718 39107
PI(+) 2654 7520 13171
Viability 96% 87% 66%


The number of PI-positive cells increased in a drug dose-dependent manner.
 

Well D2

celigo cell counting - Well D2
celigo cell counting pi-d2

Well D4

celigo cell counting bf-d4
celigo cell counting pi-d4

Well D8

celigo cell counting bf-d8
celigo cell counting pi-d8

96-well based cell counting assay for microscale screening platform for CHO cells

Assay protocol

  • Use optical quality 96-well plate
  • Make master dye containing Hoechst 33342 and propidium iodide
  • Load 200 µl of master dye mix per well
  • Add 3 µl of CHO cell suspension per well
  • Incubate 40 min at room temperature
  • Image 96-well plate on Celigo image cytometer (blue and red fluorescence channels)
  • Use “Direct Cell Counting” image analysis parameters for Hoechst+ and PI+ cells
  • Count all cells in each well
  • Obtain live cell density using live cell count: Hoechst+ – PI+
  • Obtain viability: (Hoechst+ – PI+)/Hoechst+

Direct cell counting using image analysis for Hoechst+ and PI+ cells

CHO cell images

cho

CHO cell images in the blue channel, red channel, merged image and counted cell image.


Experiment 1:

A dilution series of exponentially growing healthy CHO-S cells was prepared and the viable cell density (VCD), coefficient of variation (CV) of VCD of healthy CHO-S cells was examined.
 

Comparison of viable cell density using a 96-well based Celigo method to one-sample based cell counting method

live cell density

Viable cell density is plotted against relative cell concentrations for the 96-well based and one-sample based method. The dashed black line from linear regression of 96-well based method (R2 = 0.999).


Comparison of CV of VCD using a 96-well based Celigo method to one-sample based cell counting method

cv density bar graph

The coefficient of variation of VCD measurements is plotted against the measured cell concentration using a 96-well based and one-sample based method.


Viability of CHO-S cells does not change due to cell concentration in 96-well based and single sample based samples

viability

Percent viability is plotted against the measured cell concentration using the Celigo 96-well based and one-sample based method.


Experiment 2:

Cells at two concentrations were treated with endoplasmic reticulum (ER) stress inducer tunicamycin to produce a sample with lower viabilities.

Treated viability live cell density

The viability and VCD decreased in a dose-dependent manner for both 96-well based and one-sample based method.

Conclusion

96-well based method versus the one-sample based method showed excellent correlation in VCD, CV of VCD, and viability measurement. Based on the performed cell dilution series, 96-well based method has a counting range from 1×105 to 1×107 live cells/mL.

Citation

Hansen HG, Nilsson CN, Lund AM, et.al. (2015) Versatile microscale screening platform for improving recombinant protein productivity in Chinese hamster ovary cells. Scientific Reports 12 (5):18016


For research use only. Not for use in diagnostic procedures.

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