| Literature DB >> 23811854 |
Yasuhito Fujino1, Yoichi Nakamura, Hideaki Matsumoto, Kenjiro Fukushima, Masashi Takahashi, Koichi Ohno, Hajime Tsujimoto.
Abstract
A novel hematology analyzer for small animal medicine, ProCyte Dx, was developed from combination of the fluorescence laser flow cytometry and laminar flow impedance technologies, and its accuracy was evaluated by comparing with the conventional impedance-based hematology analyzer, pocH-100iV Diff, or microscopic manual cell counting methods with staining blood smears in the canine blood. Blood samples of 59 dogs were hematologically analyzed and compared by Pearson's correlation coefficients. Analyses between the two analyzers showed excellent correlation in RBC (r=0.998), HGB (r=0.999), HCT (r=0.998), MCV (r=0.994), MCH (r=0.974), MCHC (r=0.906), WBC (r=0.998) and PLT (r=0.993). Analyses between ProCyte Dx and microscopic manual counting results showed excellent correlation in neutrophils (r=0.920), lymphocytes (r=0.913) and reticulocyte percentages (r=0.924), good correlation in eosinophils (r=0.815) and reticulocyte numbers (r=0.850) and fair correlation in monocytes (r=0.770). The present study indicates that ProCyte Dx is acceptably accurate and can be a powerful tool for canine clinical medicine.Entities:
Mesh:
Year: 2013 PMID: 23811854 PMCID: PMC3942973 DOI: 10.1292/jvms.13-0264
Source DB: PubMed Journal: J Vet Med Sci ISSN: 0916-7250 Impact factor: 1.267
Fig. 1.Demonstration of typical red blood cell/platelet (A) and white blood cell (B) dot plots generated by ProCyte Dx. Superior separation of cell population with the combination of both standard flow cytometry and fluorescent-enhanced optical analyses are shown. Forward scatter (FSC), side scatter (SSC) and side fluorescence (SFL) indicate the cellular size, complexity/granularity and nucleic acid content, respectively.
Hematological results obtained from 59 canine blood samples and correlation between results of ProCyte Dx and pocH-100iV Diff
| Analyte (Unit) | ProCyte Dx | pocH-100iV Diff | |||
|---|---|---|---|---|---|
| Range | Mean (SD) | Range | Mean (SD) | ||
| RBC (×106/ | 1.18 – 8.53 | 5.74 (1.50) | 1.24 – 9.06 | 6.05 (1.58) | 0.998 |
| HGB (g/d | 2.8 – 17.8 | 12.7 (3.3) | 3.0 – 18.3 | 12.9 (3.3) | 0.999 |
| HCT (%) | 9.1 – 50.0 | 36.4 (8.9) | 9.0 – 51.4 | 37.1 (9.2) | 0.998 |
| MCV (f | 45.8 – 77.1 | 64.1 (5.7) | 45.3 – 72.8 | 61.8 (5.2) | 0.994 |
| MCH ( | 13.5 – 25.5 | 22.2 (2.0) | 13.0 – 24.4 | 21.4 (1.9) | 0.974 |
| MCHC (g/d | 27.7 – 39.5 | 34.7 (2.0) | 27.4 – 38.8 | 34.7 (1.9) | 0.906 |
| WBC (×103/ | 0.6 – 36.5 | 13.2 (8.9) | 0.5 – 37.8 | 13.9 (9.3) | 0.998 |
| PLT (×103/ | 2 – 932 | 388 (214) | 17 – 1,156 | 446 (245) | 0.993 |
Fig. 2.Correlation of RBC, HGB, HCT, MCV, MCH, MCHC, WBC and PLT between results of ProCyte Dx (vertical axis) and pocH-100iV Diff (horizontal axis) in blood samples from 59 dogs using linear regression analyses. The diagonal line represents the regression equation.
Results of leukogram and reticulocyte counts obtained from 59 canine blood samples and correlation between results of ProCyte Dx and microscopic manual counts
| Analyte (Unit) | ProCyte Dx | Microscopic manual count | |||
|---|---|---|---|---|---|
| Range | Mean (SD) | Range | Mean (SD) | ||
| Neutrophils (%) | 18.0 – 88.6 | 68.4 (14.1) | 6.0 – 90.5 | 63.5 (18.7) | 0.920 |
| Lymphocytes (%) | 6.8 – 53.5 | 19.9 (9.6) | 1.0 – 65.0 | 14.7 (12.1) | 0.913 |
| Monocytes (%) | 1.8 – 42.4 | 8.6 (6.7) | 2.5 – 50.0 | 9.4 (7.3) | 0.770 |
| Eosinophils (%) | 0 – 10.7 | 3.1 (2.7) | 0 – 12.0 | 3.3 (3.3) | 0.815 |
| Reticulocytes (%) | 0.04 – 7.28 | 1.08 (1.29) | 0.05 – 6.53 | 1.18 (1.23) | 0.924 |
| Reticulocytes (×103/ | 2.5 – 245.9 | 54.8 (48.8) | 3.0 – 204.9 | 61.1 (50.6) | 0.850 |
Fig. 3.Correlation of leukocyte differential and reticulocyte results between ProCyte Dx (vertical axis) and microscopic manual counts (horizontal axis) in blood samples from 59 dogs using linear regression analyses. The diagonal line represents the regression equation.