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The study of the mechanisms that lead to DNA damage and their consequences is an invaluable source of information for a better understanding of human disease. The use of TdT-mediated dUTP nick end labeling (TUNEL) staining to assess this process is an extended practice in the study of apoptosis, necrosis and other DNA-damage related processes. Its effectiveness favors the screening of large batches of cell cultures with the aid of an image processing solution.

Wimasis TUNEL Assay tool is designed to generate objective and reproducible quantification of cell DNA damage in fluorescence microscopy images of cell cultures. The quantification is based on the detection of the whole cell population and the identification on it of the cells marked by the TUNEL stain reagents.

This recognition is possible thanks to our fast high-end image processing algorithms, which allow an accurate analysis of the cell cultures in record time.

Wimasis TUNEL assay uses as input fluorescence microscopy images with two different dyes: one nuclear or cytoplasmic membrane dye for the whole cell population and another marker for the TUNEL stain. If a cytoplasmic membrane dye is used, an extra nuclear dye can be applied to stain cellular nuclei, which will improve the accuracy of the cell detection algorithm.
Autophagy assay images granted by the The Biological Research Centre (CIB), of the Spanish National Research Council (CSIC).
  • Venoos Iman, Syam Mohan, Siddig Ibrahim Abdelwahab, Hamed Karimian, Noraziah Nordin, Mehran Fadaeinasab, Mohamad Ibrahim Noordin and Suzita Mohd Noor. Anticancer and anti-inflammatory activities of girinimbine isolated from Murraya koenigii Drug Design, Development and Therapy. January 2017
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Please, choose the quantity
  • 100 images 350.00 €
  • 250 images 750.00 €
  • 500 images 1,000.00 €
  • 1000 images 1,500.00 €
  • 2000 images 2,500.00 €
  • 5000 images 6,000.00 €
  • 10000 images 10,000.00 €
  • 20000 images 18,000.00 €
(Tax free)
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Analysis data contain
  • ✔ Total cell count: total number of cells in the image.
  • ✔ Count of Tunel-stained cells: total number of Tunel-stained cells in the image.
  • ✔ Tunel-stain ratio: percentage of Tunel-stained cells in the cell population.
Would you like to get any other parameter? Ask for it!
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