Color analysis method for estimating the oxygen saturation of hemoglobin using an image-input and processing system.

Area of Science:

• Analytical Chemistry
• Biophysics
• Image Analysis

Background:

• Traditional color analysis methods often lack precision for both qualitative and quantitative assessments.
• Accurate color measurement is crucial in various scientific fields, including biochemistry and materials science.

Purpose of the Study:

• To develop a new color analysis method enabling both qualitative and quantitative evaluations.
• To establish a color model based on spectrophotometric principles for precise color characterization.

Main Methods:

• Utilized a color image-input and processing system with a 3-tube video camera and digital image analyzer.
• Quantized color images into red, green, and blue brightness values.
• Applied the Beer-Lambert law to establish a spectrophotometric color model where hue is direction and density is distance from the origin.

Main Results:

• Successfully analyzed hemoglobin solutions across varying oxygen saturations and concentrations.
• Results demonstrated strong agreement with known conditions, validating the developed color model.
• The method proved effective for both quantitative and qualitative color analysis.

Conclusions:

• The developed color analysis method offers a valid and versatile approach for scientific applications.
• The new color model accurately represents hue and density, facilitating precise color measurements.
• This technique is valuable for researchers requiring accurate color quantification and qualification.