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Optimizing rat and human blood cells sampling for in silico morphometric analysis
Isaac Zamora-Bello1, Daniel Hernandez-Baltazar2, Juan Francisco Rodríguez-Landa3
1Facultad de Química Farmacéutica Biológica, Universidad Veracruzana, Xalapa, Veracruz, Mexico.
Acta Histochemica
|June 18, 2022
Summary
Preserving blood smears with a histological resin enhances cell integrity for morphometric analysis. This method aids in detailed white blood cell descriptions and establishes reference intervals, improving diagnostic accuracy.
Area of Science:
- Hematology
- Biomedical Imaging
- Histology
Background:
- Morphometric Parameters of the Blood Cells (MPBC) are crucial for diagnosing mental and metabolic diseases.
- While manual and computational methods exist for diagnosis, pre-analytical sample handling is under-evaluated.
- Reliable clinical diagnosis depends on robust sample processing and data analysis.
Purpose of the Study:
- To improve blood smear preservation using a histological resin.
- To provide detailed morphometric descriptions of white blood cells.
- To establish reference intervals for white blood cells in male Wistar rats.
Main Methods:
- Blood smears from male Wistar rats and adult men were collected and preserved with a toluene-based synthetic resin.
- In silico image analysis evaluated the integrity of Wright-stained cells.
- Reference intervals were established using cell counting and segmentation algorithms.
Main Results:
- The histological resin significantly improved the conservation of blood cell populations.
- Morphologic features of white blood cells, including nucleus/cytoplasmic shape and granule presence, were clearly identified.
- The resin facilitated in silico MPBC measurements by enhancing cell preservation.
Conclusions:
- Histological resin offers a practical approach for preserving blood smears.
- This method supports detailed morphometric analysis and establishes reference intervals.
- The resin-based technique can improve efficiency in sample handling for MPBC measurements in various species.
Keywords:
Automatic thresholdingBlood smear examinationHematic cytometryHumanSegmentation algorithmWistar rat
