Histogram analysis for smartphone-based rapid hematocrit determination.

Area of Science:

• Biomedical Engineering
• Medical Diagnostics
• Image Analysis

Background:

• Hematocrit quantification is crucial for diagnosing various physiological disorders.
• Existing methods for hematocrit determination can be time-consuming or require specialized equipment.
• There is a need for rapid, cost-effective, and accessible diagnostic tools.

Purpose of the Study:

• To develop and validate a novel, rapid analysis technique for colorimetric quantification of blood hematocrits.
• To integrate a smartphone camera with a microfluidic chip for hematocrit detection.
• To create a user-friendly application for automated hematocrit analysis.

Main Methods:

• A smartphone-based application named "Histogram" was developed.
• The app integrates a smartphone camera with a microfluidic chip using a custom optical platform.
• Histogram analysis was employed for automatic detection, auto-calibration, and analysis of single- and multi-channel images.

Main Results:

• The developed histogram analysis technique demonstrated effectiveness in quantifying blood hematocrits.
• The method proved advantageous under both equal and varying optical conditions.
• The system allows for rapid determination of blood hematocrit levels.

Conclusions:

• The smartphone-based histogram analysis offers a reproducible, cost-effective, and standard method for hematocrit quantification.
• This technique can significantly aid in the diagnosis and prevention of human diseases.
• The developed system provides a valuable tool for point-of-care diagnostics.