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The use of the chorioallantoic membrane of developing chicken eggs has become a key practice to study angiogenesis and vascular processes in many vascular and developmental biomedical investigations. The simplicity of the CAM and its similarity to in vivo models makes it an interesting alternative to study the growth and damage of vessels and capillaries in vascular structures, which constitutes a target step in the research of tumors, cancer, angiogenesis, vascular diseases, developmental biology and an extensive number of other investigations.

The concordance of the CAM assay results with the in vivo data turns it into an engaging alternative to observe the evolution of the vascular structures with the promise of representative results. The changes on the vessels of the CAM and modifications of its vascular structure can be easily observed by the human eye; however, the quantification of those changes in an objective and reproducible way is only possible using image processing techniques. WimCAM is conceived to quantify CAM assay images with precision and reliability.

WimCAM is the image analysis solution specially developed to quantify objectively the growth and structure of the new generated vessels in the chorioallantoic membrane. It provides biological and biomedical researchers with objective and reliable measurements of the vascular structure of the CAM, such as the number of vessels and the vessel density of the membrane, which enables the objective comparison of the results of two different experiments.

WimCAM uses as input bright field microscopy images of the chorioallantoic membrane of chicken eggs. Both images taken from within the egg and images of a piece of the egg shell are suitable for the image analysis tool. Besides, WimCAM is engineered with the flexibility needed to fit other image kinds; so, if your CAM assay images do not fulfill the requirements above, don’t hesitate to contact us to get a trial for your images.
CAM assay image granted by Laboratory of Electron Microscopy, Department of Cellular Biology, University of Brasilia (UnB).
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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
  • ✔ Number of vessels segments
  • ✔ Number of branching points
  • ✔ Number of nets
  • ✔ Vessel density
  • ✔ Mean segment length
  • ✔ Total vessel network length
Would you like to get any other parameter? Ask for it!
Case studies
Aksaray University
Department of Biology, Faculty of Science and Letters
Our main scientific interest is to combine biology and nanotechnology, meeting in cancer studies using multifunctional nanoparticles. Wimasis enables us to measure both in vitro scratch assay and in-ovo CAM assay by giving results in a shorter time and more standardized manner. Initial and final scratch sizes are determined using the WimScratch analysis tool and the difference between the two is used to determine migration distance using ratio of scratch area to cell covered area.

We also frequently use CAM model in angiogenesis studies. Instead of using the macroscopic scoring method, thanks to WimCAM we can reliably measure many parameters such as vesseldensity, total vessel network length, total branching points, total nets, and segment properties, hidden details in the images obtained after the nanomaterials-biological system interaction in CAM assay, thus we can make comparisons between these measurements in a short time. It also allows seeing measurements on the processed image after all these analyzes and makes you evaluate measurement quality. By this way, we cannot only save time but also get more reliable morphological information than classical methods.

As it is known, this is crucial for a better understanding of the relationship between cells/tissues and nano-sized structures and for making way for successful clinical applications. Thanks to Wimasis’ online tools, it is now possible to make more informative analyzes about interactions between nanomaterials and biological systems.
View case study
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