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Criterial analysis of 2D cellular structures
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Criterial analysis of 2D cellular structures
Criterion Analysis of 2D Cell Structures (CritACS) software offers a scientifically proven and automated approach to analyzing your microscopic images. It can be used to study the effects of drugs, biomaterials, and medical devices on cell growth and viability, and to assess material biocompatibility.
Key Features and Benefits:
1. Quantitative Assessment of Spatial Organization:
Ultrametric Index (U-Index): Objectively measures the degree of order or randomness in cell arrangement. Allows for the detection of clustering, uniform distribution, or abnormal growth patterns.
Shannon Entropy: Assesses the uniformity of cell distribution across the culture surface area. A clear indicator of growth homogeneity.
d-Criterion: An additional parameter for analyzing cell density and distribution.
2. Viability Analysis: Easily label live (red marks) and dead (blue marks) cells in the image.
3. Local Analysis (Gradients): key metrics (entropy, d-value) are analyzed for specific regions of the image, rather than for the entire image (identify areas with growth anomalies (e.g., edge effects in wells) or local differences in the culture).
4. Ease of Use:
• Works with standard image formats (JPG, PNG, BMP).
• Intuitive interface for loading images, labeling cells, and running calculations.
• Automatically saves results.
Move from subjective assessments to accurate data! CritACS provides you with a powerful tool for quantitative analysis of cell cultures, increasing the reliability of your research and accelerating results. Request a demo or contact us to purchase.
Key Features and Benefits:
1. Quantitative Assessment of Spatial Organization:
Ultrametric Index (U-Index): Objectively measures the degree of order or randomness in cell arrangement. Allows for the detection of clustering, uniform distribution, or abnormal growth patterns.
Shannon Entropy: Assesses the uniformity of cell distribution across the culture surface area. A clear indicator of growth homogeneity.
d-Criterion: An additional parameter for analyzing cell density and distribution.
2. Viability Analysis: Easily label live (red marks) and dead (blue marks) cells in the image.
3. Local Analysis (Gradients): key metrics (entropy, d-value) are analyzed for specific regions of the image, rather than for the entire image (identify areas with growth anomalies (e.g., edge effects in wells) or local differences in the culture).
4. Ease of Use:
• Works with standard image formats (JPG, PNG, BMP).
• Intuitive interface for loading images, labeling cells, and running calculations.
• Automatically saves results.
Move from subjective assessments to accurate data! CritACS provides you with a powerful tool for quantitative analysis of cell cultures, increasing the reliability of your research and accelerating results. Request a demo or contact us to purchase.