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Recent progress in improving data processing in filtration measurements
Biorheology. Supplement : the Official Journal of the International Society of Biorheology
|January 1, 1984
Summary
Nucleopore filter membranes show poor reproducibility for measuring red blood cell (RBC) deformability. A new statistical method identifies and removes aberrant data, improving measurement accuracy for RBC deformability.
Area of Science:
- Biomedical Engineering
- Hematology
- Materials Science
Background:
- Current methods for assessing red blood cell (RBC) deformability using Nucleopore filter membranes lack metrological rigor.
- Inhomogeneities within these membranes introduce significant background noise, leading to poor measurement reproducibility.
- Eliminating aberrant results from parallel measurements is crucial for reducing variance.
Purpose of the Study:
- To develop a reliable method for assessing RBC deformability.
- To improve the reproducibility of RBC deformability measurements.
- To introduce a procedure for identifying and excluding aberrant data points.
Main Methods:
- Utilized iterative statistical regression analysis for data analysis.
- Calibrated filter membranes and performed measurements on RBC suspensions.
- Proposed a method to identify aberrant values in filter calibration and RBC suspension data.
Main Results:
- Developed a procedure to identify aberrant values using statistical regression analysis.
- Demonstrated that eliminating aberrant results enhances measurement reproducibility.
- Results are expressed as "reduced" initial flow rates for standard filter resistance.
Conclusions:
- Nucleopore filter membranes are not ideal for precise RBC deformability measurements due to inherent inhomogeneities.
- A proposed iterative statistical regression analysis effectively identifies aberrant data, improving measurement reliability.
- The new method offers a more accurate assessment of RBC deformability by reducing experimental noise and variance.