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Evaluation of the Beckman-Coulter GEN-S hematology analyzer

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ISLH<br />

Laboratory Hematology 4:264–268<br />

© 1998 Carden Jennings Publishing Co., Ltd.<br />

Official Publication<br />

<strong>Evaluation</strong> <strong>of</strong> <strong>the</strong> <strong>Beckman</strong>-<strong>Coulter</strong> ® <strong>GEN</strong>-S <br />

<strong>hematology</strong> <strong>analyzer</strong><br />

E. GRIMALDI, F. SCOPACASA<br />

Department <strong>of</strong> Laboratory Medicine, University Federico II, Naples, Italy<br />

ABSTRACT<br />

The <strong>Beckman</strong>-<strong>Coulter</strong> <strong>GEN</strong>-S, a new generation <strong>hematology</strong><br />

<strong>analyzer</strong> capable <strong>of</strong> providing a complete blood count, a five-part<br />

differential leukocyte count, and a reticulocyte count, was evaluated<br />

on <strong>the</strong> basis <strong>of</strong> <strong>the</strong> H20-A protocol <strong>of</strong> <strong>the</strong> National Committee<br />

for Clinical Laboratory Standards and its performance compared<br />

with <strong>the</strong> Bayer-Technicon H-2 <strong>analyzer</strong> that is routinely<br />

used in our laboratory. A lipid interference experiment was also<br />

performed. Linearity, carryover, and precision were all within <strong>the</strong><br />

limits established by <strong>the</strong> manufacturer, and satisfactory agreement<br />

with <strong>the</strong> H-2 <strong>analyzer</strong> was found. The evaluation <strong>of</strong> <strong>the</strong> leukocyte<br />

differential indicates an excellent correlation between <strong>the</strong> manual<br />

reference method for neutrophils and lymphocytes<br />

(r = 0.981 and 0.971, respectively), a good correlation for monocytes<br />

and eosinophils (r = 0.820 and 0.883, respectively), and a<br />

poor correlation for basophils in samples with low counts—for<br />

basophil counts higher than 1% we found an improvement in <strong>the</strong><br />

correlation. The leukocyte differential flag sensitivity assessment<br />

shows higher specificity (96%) than sensitivity (85%) and a high<br />

efficiency (93%). In <strong>the</strong> lipid interference experiment, only<br />

hemoglobin determination has been significantly influenced on<br />

<strong>the</strong> <strong>GEN</strong>-S. Lab Hematol 4:264–268, 1998<br />

KEY WORDS: Blood cell counter · Accuracy ·<br />

Precision · Interference<br />

INTRODUCTION<br />

The <strong>GEN</strong>-S (<strong>Beckman</strong>-<strong>Coulter</strong>, Miami, FL) is a new generation<br />

fully automated <strong>hematology</strong> <strong>analyzer</strong> that can provide <strong>the</strong> laboratory<br />

with up to 34 blood count parameters: a complete blood<br />

count (CBC), a five-part differential leukocyte count (DLC), a<br />

complete reticulocyte count, and an automated CD4/CD8 count.<br />

Moreover, when abnormal leukocytes are present, <strong>the</strong> system generates<br />

different flags.<br />

Address correspondence to Ernesto Grimaldi, MD, Dipartimento Assistenziale<br />

di Medicina di Laboratorio, Policlinico Universitario Federico II, Via S. Pansini<br />

5, 80131 Napoli, Italia.<br />

Received 4 September 1998; accepted 3 November 1998<br />

Over a 3-month period we evaluated, on <strong>the</strong> basis <strong>of</strong> <strong>the</strong> H20-A<br />

protocol <strong>of</strong> <strong>the</strong> National Committee for Clinical and Laboratory<br />

Standards (NCCLS) [1], <strong>the</strong> CBC and DLC performance <strong>of</strong> <strong>the</strong><br />

<strong>GEN</strong>-S in comparison with a reference fully automated <strong>hematology</strong><br />

<strong>analyzer</strong> in use in our laboratory, <strong>the</strong> Bayer-Technicon H-2 (Bayer-<br />

Technicon Instruments, Tarrytown, NY), and with <strong>the</strong> reference<br />

manual method (DLC performance only). We also evaluated <strong>the</strong><br />

clinical sensitivity and <strong>the</strong> lipid interference on both instruments.<br />

MATERIALS AND METHODS<br />

System Description<br />

The <strong>GEN</strong>-S <strong>analyzer</strong> uses <strong>the</strong> <strong>Coulter</strong> Volume, Conductivity,<br />

Scatter (VCS) technology to probe hydrodynamically focused cells<br />

[2]. Volume measurement is performed using <strong>the</strong> <strong>Coulter</strong> principle<br />

<strong>of</strong> electrical impedance.<br />

The high frequency conductivity provides information about<br />

cell size, internal structure, and density. A helium-neon laser and a<br />

multiple-angle light scatter provide information about a cell’s internal<br />

structure, granularity, and surface morphology. VCS technology<br />

has proven effective on <strong>the</strong> <strong>Coulter</strong> STKS and MAXM <strong>analyzer</strong>s<br />

[3,4]. The <strong>GEN</strong>-S refines this technology through <strong>the</strong> use <strong>of</strong> <strong>the</strong><br />

IntelliKinetic (<strong>Beckman</strong>-<strong>Coulter</strong>) application. This hardware and<br />

s<strong>of</strong>tware system intelligently manages variations in <strong>the</strong> ambient laboratory<br />

temperature through automatic adjustments <strong>of</strong> reagent<br />

reaction temperature, exposure time, and delivery volumes.<br />

Enhancement in instrument electronics works with <strong>the</strong> IntelliKinetic<br />

application to provide better data signals for <strong>the</strong> system algorithm<br />

to analyze. Collected data are analyzed by <strong>Coulter</strong> AccuGate<br />

s<strong>of</strong>tware (version EASE 2, <strong>Beckman</strong>-<strong>Coulter</strong>), which contains<br />

adaptive statistical tools that assist in delineating overlapping populations<br />

including new suspect flags (e.g., Ly blast for Lymphoblast<br />

suspect) and additional “research use only” parameters. DLC data<br />

can be presented in a multidimensional format.<br />

Blood Samples<br />

The evaluation <strong>of</strong> <strong>the</strong> instrument was performed by analyzing<br />

blood specimens from routine samples obtained after having<br />

received each patient’s written informed consent. All samples were<br />

collected in evacuated 3.5-mL tubes containing tripotassium ethylenediaminetetraacetic<br />

acid (K 3 EDTA) and tested within 2 hours <strong>of</strong><br />

drawing <strong>the</strong> blood. All samples were analyzed in parallel on <strong>the</strong><br />

<strong>GEN</strong>-S and H-2 <strong>analyzer</strong>s.<br />

264


<strong>Beckman</strong>-<strong>Coulter</strong> <strong>GEN</strong>-S 265<br />

TABLE 1. Percent carryover with <strong>the</strong> <strong>Beckman</strong>-<strong>Coulter</strong> ® <strong>GEN</strong>-S <br />

<strong>analyzer</strong><br />

Parameter<br />

WBC RBC Hb PLT<br />

Carryover (%) 0.5 0.3 0.4 0.01<br />

Hb, hemoglobin; PLT, platelet; RBC, red blood cell count; WBC, white blood<br />

cell count.<br />

Carryover Assessment<br />

Carryover assessment was performed according to <strong>the</strong><br />

Broughton method [5]: a high sample was tested three consecutive<br />

times (H1, H2, H3) and followed by a low-sample testing performed<br />

three consecutive times (L1, L2, L3). The percentage <strong>of</strong><br />

carryover for each parameter was calculated using formula 1:<br />

[(L1 – L3)/(H3 – L3)] 100<br />

Linearity<br />

Linearity was evaluated by analyzing serial dilutions <strong>of</strong> five specimens<br />

in platelet-free autologous plasma [6]. Results were evaluated<br />

in accordance with <strong>the</strong> International Council for Standardization in<br />

Hematology (ICSH) recommendations [5].<br />

Imprecision<br />

For a between-batch imprecision study, 20 samples, in triplicate<br />

and in three consecutive batches, were analyzed; within-batch<br />

imprecision was evaluated by analyzing 20 samples in triplicate in<br />

<strong>the</strong> same batch. Results were expressed as mean, standard deviation<br />

(SD), and percent coefficient <strong>of</strong> variation (%CV).<br />

Comparability<br />

Selected on <strong>the</strong> basis <strong>of</strong> <strong>the</strong> recommended ICSH range <strong>of</strong> values<br />

[7], 120 blood samples were analyzed side by side using <strong>the</strong> <strong>GEN</strong>-S<br />

and <strong>the</strong> H-2 <strong>analyzer</strong>s. Instruments were calibrated according to<br />

<strong>the</strong> manufacturer’s guidelines. Measured white blood cell count<br />

TABLE 2. Linearity <strong>of</strong> <strong>the</strong> <strong>Beckman</strong>-<strong>Coulter</strong> ® <strong>GEN</strong>-S <strong>analyzer</strong><br />

Parameter SI unit Range r Intercept Slope<br />

WBC 10 9 /L 0.15–100 0.999 –0.002 0.998<br />

RBC 10 12 /L 0.17–7.0 0.999 –0.023 1.000<br />

HB g/dL 0.50–20.0 0.999 –0.066 1.000<br />

PLT 10 9 /L 6.20–1000 0.999 –2.200 1.002<br />

(WBC), red blood cell count (RBC), hemoglobin (Hb), mean cell<br />

volume (MCV), platelet (PLT), and DLC parameters (absolute values)<br />

were compared by linear regression analysis, and correlation<br />

coefficients (r) also were calculated.<br />

Also, 112 blood samples were compared with manual DLC<br />

(percent values). All films were examined independently by four<br />

experienced technologists, results compared by linear regression,<br />

and correlation coefficients calculated [1].<br />

Clinical Sensitivity<br />

As recommended in <strong>the</strong> NCCLS guidelines [1], <strong>the</strong> result <strong>of</strong><br />

microscopic examination was used to classify a sample as normal or<br />

abnormal; <strong>the</strong>refore, differential results <strong>of</strong> 112 samples were divided<br />

into <strong>the</strong> following categories:<br />

• true-negatives: normal samples leading no instrument flags<br />

• true-positives: abnormal samples leading instrument flags<br />

• false-positives: normal samples leading instrument flags<br />

• false-negatives: abnormal samples leading no instrument flags<br />

The results were analyzed following <strong>the</strong> method <strong>of</strong> Galen and<br />

Gambino [8].<br />

Interference Study<br />

Lipid interference was evaluated in 10 blood samples with<br />

increasing amounts <strong>of</strong> Intralipid (Pharmacia AB, Uppsala, Sweden)<br />

(soya’s lipids). They were analyzed side by side with <strong>the</strong> two instruments<br />

and each test was performed in triplicate. Results were<br />

expressed as <strong>the</strong> mean value <strong>of</strong> three determinations. The lipid concentration<br />

was measured as triglycerides.<br />

TABLE 3. Within- and between-batch precision observed with <strong>the</strong> <strong>Beckman</strong>-<strong>Coulter</strong> ® <strong>GEN</strong>-S (n=20)<br />

Within-batch<br />

Between-batch<br />

Parameter SI unit Mean SD %CV Mean SD %CV<br />

WBC 10 9 /L 19.9 0.245 1.23 9.0 0.145 1.64<br />

RBC 10 12 /L 4.12 0.055 1.32 5.39 0.07 1.31<br />

Hb g/dL 12.8 0.080 0.64 16.5 0.13 0.78<br />

MCV fl 87.3 0.375 0.43 88.9 0.25 0.28<br />

PLT 10 9 /L 424.0 7.970 1.88 231.0 6.045 2.62<br />

NE # 12.5 0.18 1.43 4.9 0.1 2.06<br />

LY # 3.1 0.115 3.68 2.5 0.08 3.19<br />

MO # 3.0 0.09 3.0 0.8 0.07 4.62<br />

EO # 1.3 0.07 5.55 0.7 0.025 3.12<br />

BA # 0.7 0.15 21.4 0.36 0.08 22.2<br />

BA, basophil; EO, eosinophil; LY, lymphocyte; MCV, mean cell volume; MO, monocyte; NE, neutrophil.


266 E Grimaldi and F Scopacasa<br />

TABLE 4. Comparability test between <strong>the</strong> <strong>Beckman</strong>-<strong>Coulter</strong> ® <strong>GEN</strong>-S <br />

and <strong>the</strong> Bayer-Technicon ® H-2 <br />

Parameter SI unit Intercept Slope r<br />

WBC 10 9 /L –0.1288 1.034 0.998<br />

RBC 10 12 /L –0.0602 0.995 0.997<br />

Hb g/dL –0.2836 0.988 0.998<br />

MCV fL –4.0571 1.019 0.990<br />

PLT 10 9 /L 5.930 0.912 0.985<br />

Neutrophils # –0.048 1.072 0.997<br />

Lymphocytes # 0.0418 1.031 0.996<br />

Monocytes # 0.0282 1.206 0.996<br />

Eosinophils # 0.0176 0.974 0.975<br />

Basophils # a 0.0338 0.0338 0.571<br />

Basophils # b 0.940 0.290 0.910<br />

a Range <strong>of</strong> values: 0–10010 9 /L.<br />

b Range <strong>of</strong> values: 100–100010 9 /L.<br />

RESULTS<br />

Carryover<br />

Carryover data for WBC, RBC, HB, and PLT are presented in<br />

Table 1. The results <strong>of</strong> high to low carryover testing were 0.999 for all<br />

CBC parameters evaluated, also in a very low range. We also found<br />

that <strong>the</strong> unflagged percentage <strong>of</strong> WBC differential count results<br />

were reproducible and linear down to a level <strong>of</strong> 0.1510 9 /L WBC<br />

count (data not shown).<br />

Imprecision<br />

We found good reproducibility for within- and between-batch<br />

studies for all parameters, including CBC and WBC differential<br />

counts (Table 3). For basophils, we found a high %CV (>20%).<br />

TABLE 5. Results <strong>of</strong> inaccuracy assessment: Comparison between <strong>the</strong><br />

<strong>Beckman</strong>-<strong>Coulter</strong> ® <strong>GEN</strong>-S and <strong>the</strong> manual differential leukocyte<br />

count<br />

Parameter SI Unit Intercept Slope r<br />

Neutrophils % 0.832 0.995 0.981<br />

Lymphocytes % 1.446 0.985 0.971<br />

Monocytes % 0.630 0.878 0.820<br />

Eosinophils % 0.399 0.915 0.883<br />

Basophils % a 0.360 –0.009 –0.020<br />

Basophils % b 1.786 0.819 0.931<br />

a Range <strong>of</strong> values: 0–1%.<br />

b Range <strong>of</strong> values: 1–10%.<br />

Comparability<br />

The <strong>GEN</strong>-S gave CBC and DLC results that compared very well<br />

with data obtained by <strong>the</strong> H-2 (Table 4). The basophil results<br />

showed poor agreement (r = 0.571) between <strong>the</strong> two instruments in<br />

<strong>the</strong> low range <strong>of</strong> counts and good agreement for high basophil counts<br />

(r = 0.910). The results <strong>of</strong> correlation and linear regression analyses<br />

between <strong>the</strong> <strong>GEN</strong>-S and a manual differential show excellent correlation<br />

for neutrophils and lymphocytes, good correlation for monocytes<br />

and eosinophils, and low correlation (low range <strong>of</strong> values 1% (n=25).<br />

Clinical Sensitivity<br />

Results <strong>of</strong> <strong>the</strong> instrument flagging assessment show that <strong>the</strong><br />

<strong>GEN</strong>-S performance was substantially higher for specificity (96%)<br />

than sensitivity (85%) with an efficiency <strong>of</strong> 93%; whereas <strong>the</strong> H-2<br />

showed specificity <strong>of</strong> 77%, sensitivity <strong>of</strong> 73%, and efficiency <strong>of</strong><br />

76% (Table 6).<br />

Interference Study<br />

A significant inaccuracy was observed in <strong>the</strong> Hb determinations<br />

on both instruments starting from a lipid value <strong>of</strong> ≥450 mg/dL and<br />

FIGURE 1. Interference by lipemic samples on hemoglobin<br />

(HGB) determination. Both <strong>the</strong> <strong>GEN</strong>-S and <strong>the</strong> H-2 <br />

show significant overestimation (31 g/dL) starting from a<br />

lipid value <strong>of</strong> triglycerides (TGL) 3450 mg/dL.<br />

FIGURE 2. Interference by lipemic samples on RBC count.<br />

RBC count is stable on both instruments up to a lipid value<br />

(TGL) <strong>of</strong> 2500 mg/dL. With higher lipid concentration,<br />

only <strong>the</strong> H-2 <strong>analyzer</strong> shows an RBC count overestimation.


<strong>Beckman</strong>-<strong>Coulter</strong> <strong>GEN</strong>-S 267<br />

resulting in an Hb overestimation <strong>of</strong> ≥1 g/dL (Fig. 1). Conversely,<br />

no interference was found on ei<strong>the</strong>r instrument for <strong>the</strong> WBC or<br />

DLC counts. RBC and PLT counts in lipemic samples (Figs. 2 and<br />

3) were overestimated on <strong>the</strong> H-2 system, but only for high lipid<br />

concentrations. No interference was found on <strong>the</strong> <strong>GEN</strong>-S.<br />

DISCUSSION<br />

The <strong>Beckman</strong>-<strong>Coulter</strong> <strong>GEN</strong>-S is an automated <strong>hematology</strong> <strong>analyzer</strong><br />

that provides a CBC and five-part DLC using improved VCS<br />

technology with advanced s<strong>of</strong>tware and hardware applications.<br />

In our study, instrument reproducibility (between- and withinbatch<br />

imprecision) results were satisfactory with <strong>the</strong> exception <strong>of</strong><br />

<strong>the</strong> basophil count. Fur<strong>the</strong>rmore, <strong>the</strong> instrument demonstrates<br />

minimal carryover and good linearity.<br />

For CBC and DLC, we have also found a good correlation with<br />

<strong>the</strong> H-2 <strong>analyzer</strong> and with <strong>the</strong> reference manual differential for all<br />

WBC subpopulations except for, in both cases, <strong>the</strong> basophils in <strong>the</strong><br />

low range <strong>of</strong> counts (0–10010 9 /L and 0–1%, respectively). In all<br />

probability, <strong>the</strong> high basophil CVs and <strong>the</strong> poor correlation<br />

between <strong>the</strong> two instruments were not due primarily to poor performance<br />

<strong>of</strong> <strong>the</strong> <strong>analyzer</strong>s’ WBC differential count, but to <strong>the</strong> low<br />

number <strong>of</strong> basophils counted. Similarly, <strong>the</strong> low correlation with<br />

<strong>the</strong> reference method may have been attributed to <strong>the</strong> low number<br />

and irregular distribution <strong>of</strong> <strong>the</strong> cells in <strong>the</strong> peripheral blood films.<br />

In fact, analyzing samples with high basophil counts yielded a dramatically<br />

increased correlation coefficient, suggesting that an<br />

increase in <strong>the</strong> number <strong>of</strong> cells used for automated differential<br />

leukocyte counts is a prerequisite for improving basophil counting<br />

performance by <strong>hematology</strong> <strong>analyzer</strong>s.<br />

An excellent correlation for monocytes was found with <strong>the</strong> H-2<br />

<strong>analyzer</strong> (r = 0.996) and a modest one with <strong>the</strong> reference method (r<br />

= 0.820). This result, which agrees with o<strong>the</strong>r reports [9,10],<br />

appears to be due to artifact distribution for <strong>the</strong>se cells during <strong>the</strong><br />

blood film preparation and to difficulties in differentiating small<br />

TABLE 6. WBC flagging performance<br />

<strong>Beckman</strong>-<strong>Coulter</strong> ® Bayer-Technicon ®<br />

Gen-S <br />

H2 <br />

Specificity (%) 96 77<br />

Sensitivity (%) 85 73<br />

Efficiency (%) 93 76<br />

False-positive (%) 4 23<br />

False-negative (%) 15 27<br />

monocytes from large lymphocytes. Fur<strong>the</strong>r studies will be performed<br />

in which <strong>the</strong> <strong>GEN</strong>-S monocytes will be compared with differentials<br />

generated by flow cytometry.<br />

Like o<strong>the</strong>r automated <strong>hematology</strong> <strong>analyzer</strong>s, <strong>the</strong> <strong>GEN</strong>-S generates<br />

WBC flags when leukocyte abnormalities are present. The evaluation<br />

<strong>of</strong> <strong>the</strong> instrument flags indicates a good sensitivity (85%)<br />

and high specificity (96%) for <strong>the</strong>se signals. The high efficiency <strong>of</strong><br />

flags (93%) is related to a high percentage <strong>of</strong> specimens correctly<br />

classified. Although <strong>the</strong> analysis <strong>of</strong> flagging is still incomplete, this<br />

study shows evidence that <strong>the</strong> sensitivity and specificity <strong>of</strong> <strong>the</strong><br />

<strong>GEN</strong>-S instrument are better than those <strong>of</strong> <strong>the</strong> H-2 <strong>analyzer</strong>.<br />

In <strong>the</strong> lipid interference study, an expected significant inaccuracy<br />

in Hb determination occurred on both instruments starting<br />

from a lipid value <strong>of</strong> 3450 mg/dL. Very high lipid amounts (4800<br />

mg/dL) showed no interference with <strong>the</strong> WBC, RBC, and PLT<br />

counts performed by <strong>GEN</strong>-S. These data suggest <strong>the</strong> ability <strong>of</strong> <strong>the</strong><br />

<strong>GEN</strong>-S algorithm to discriminate high amounts <strong>of</strong> lipidic particles<br />

and to exclude <strong>the</strong>m from counts as well.<br />

In conclusion, our evaluation data show that <strong>the</strong> <strong>GEN</strong>-S is a<br />

precise screening device and its accuracy is at least comparable to<br />

<strong>the</strong> Bayer-Technicon H-2. The results are linear to low counts, and<br />

no significant carryover is observed. Additionally, we found that <strong>the</strong><br />

FIGURE 3. Interference by lipemic samples on PLT count. PLT count performed by <strong>the</strong> <strong>GEN</strong>-S is stable up to a lipid value (TGL)<br />

<strong>of</strong> 4800 mg/dL. PLT count by <strong>the</strong> H-2 shows significant overestimation starting from a lipid value (TGL) <strong>of</strong> 1200 mg/dL.


268 E Grimaldi and F Scopacasa<br />

ease <strong>of</strong> use contributes to <strong>the</strong> performance <strong>of</strong> <strong>the</strong> <strong>GEN</strong>-S, enhancing<br />

its application in <strong>the</strong> clinical laboratory.<br />

REFERENCES<br />

1 NATIONAL COMMITTEE FOR CLINICAL LABORATORY STANDARDS: Reference<br />

leukocyte differential count (proportional) and evaluation <strong>of</strong> instrumental<br />

methods. Approved standard, NCCLS Document H20-A, Villanova, PA,<br />

NCCLS, 1992<br />

2 COULTER: <strong>Coulter</strong> STKS With Reticulocyte Analysis. Reference manual,<br />

Miami, FL, <strong>Coulter</strong>, 1993<br />

3 BUTTARIELLO M, GADOTT M, LORENZ C: <strong>Evaluation</strong> <strong>of</strong> four automated<br />

<strong>hematology</strong> <strong>analyzer</strong>s – a comparative study <strong>of</strong> differential counts. Am J<br />

Clin Pathol 97:345, 1992<br />

4 BILLETT HH, SIMSON E, MAIN P, B AILEY C, GUERRA P: The MAXM<br />

<strong>hematology</strong> <strong>analyzer</strong>—an alternative Am J Clin Pathol 102:36, 1994<br />

5 BROUGTON PMG, GOWENLOCK AH, MCCORMACH JJ, NEILL DW: A<br />

recommended scheme for <strong>the</strong> evaluation <strong>of</strong> instruments for automated<br />

analysis in <strong>the</strong> clinical biochemistry laboratory. J Clin Path 22:278,<br />

1969<br />

6 SHINTON NK, ENGLAND JM, KENNEDY DA: Guidelines for <strong>the</strong> evaluation<br />

<strong>of</strong> instruments used in haematology laboratories. J Clin Pathol 35:1095,<br />

1982<br />

7 INTERNATIONAL COUNCIL FOR STANDARDIZATION IN HAEMATOLOGY:<br />

Guidelines for <strong>the</strong> evaluation <strong>of</strong> blood cell <strong>analyzer</strong> including those used<br />

for differential leukocyte and reticulocyte counting and cell marker applications.<br />

Clin Lab Haematol 16:157, 1994<br />

8 GALEN RS, GAMBINO SR (EDS): Beyond normality: The predictive value<br />

and efficiency <strong>of</strong> medical diagnosis. New York, NY, John Wiley and Sons,<br />

1975, p. 19<br />

9 LEBECK LK, MAST BJ, HOUWEN B: Flow cytometric white blood cell differentials:<br />

A proposed alternate reference method. Sysmex J Int 3:61,<br />

1993<br />

10 GOOSSENS W, VAN HOVE L, VERWILGHEN RL: Monocyte counting: Discrepancies<br />

in results obtained with different automated instruments. J Clin<br />

Pathol 44:3, 1991

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