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Mizutama: A Quick, Easy, and Accurate Method for Counting Erythrocytes
David Ochoa1, Tomás Redondo1, Gregorio Moreno-Rueda2
11 Departamento de Etología y Conservación de la Biodiversidad, Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas, Avenida Américo Vespucio s/n, 41092 Sevilla, Spain.
Physiological and Biochemical Zoology : PBZ
|February 8, 2019
Summary
This study introduces Mizutama, a free software for counting animal blood cells from photographs. This fast and accurate tool simplifies hematological analysis, saving researchers time and money.
Area of Science:
- Veterinary Medicine
- Bioinformatics
- Hematology
Background:
- Hematological profiles are crucial for animal health assessment.
- Current blood cell counting methods are often costly and time-intensive.
Purpose of the Study:
- To introduce Mizutama, a novel, free image-processing software for automated blood cell counting.
- To provide a fast, accurate, and user-friendly alternative for hematological analysis.
Main Methods:
- Mizutama employs thresholding to convert images to grayscale trinary format.
- The software identifies cells based on size and nucleus-to-cytoplasm ratio.
- Analysis is performed on digital photographs of blood smears.
Main Results:
- Mizutama demonstrates high accuracy, with only a 1.4% error rate in detecting avian red blood cells.
- The software is fast, versatile, and intuitive to operate.
- It effectively counts various blood cells in microscopic images.
Conclusions:
- Mizutama offers a significant advancement in simplifying and accelerating blood cell counting for physiological studies.
- The software has the potential to reduce costs and time associated with hematological analyses in animals.
- Its ease of use and accuracy make it a valuable tool for researchers.
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