Image analysis software CM-SA2
for medical applications

Image analysis software - CM-SA2 - Konica Minolta Sensing Americas - for medical applications
Image analysis software - CM-SA2 - Konica Minolta Sensing Americas - for medical applications
Image analysis software - CM-SA2 - Konica Minolta Sensing Americas - for medical applications - image - 2
Image analysis software - CM-SA2 - Konica Minolta Sensing Americas - for medical applications - image - 3
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Characteristics

Function
image analysis
Applications
for medical applications

Description

The CM-SA2 skin analysis software, when used in combination with Konica Minolta spectrophotometers gives highly accurate measurement of the color of skin. The software does this simultaneously with a numerical display of the Hemoglobin (Hb) Index, Melanin Index, and Hemoglobin oxygen saturation (Hb SO2) Index. By using our CM-17d/CM-16d spectrophotometers along with the CM-SA2 skin analysis software, measurements can be performed simply by applying the instrument lightly to the subject’s skin and pressing one single button. This can be made easier and more accurate with the camera viewfinder feature found exclusively in the CM-17d. There is an increasing demand for these measurements in the field of skin research and development. To that end, this software is tremendously valuable. For example, such measurements are used to measure the effects of sun tanning on skin to prevent damage. These measurements are also used to match cosmetics. This software and instrument combination is perfect for taking precise readings of melanin pigmentation without it being impacted by the redness of the skin. A dual-axis graph can be created to display both color values and melanin levels simultaneously. Additionally, the feature that detects outliers caused by measurement errors from multiple data points enables more precise analysis and contributes to improved work efficiency. The ITA° (Individual Typology Angle) graph, used for evaluating skin tone and color, can be displayed. The measured data is plotted on the graph, allowing you to easily identify which group it belongs to quickly.

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