Cell Differential (cell + differential)

Distribution by Scientific Domains


Selected Abstracts


Total nucleated cell differential for blood and bone marrow using a single tube in a five-color flow cytometer,,

CYTOMETRY, Issue 2 2008
Sven Björnsson
Abstract Background: Flow cytometry allows the use of several antibodies in addition to light scatter, and most flow cytometers will provide at least seven measurements on each cell passing through the laser beam. A skilled microscopist will classify at least 14 cell classes in bone marrow or blood. Our goal was to use the seven parameters available in our flow cytometer to provide a reliable differential count using only one tube. Methods: Peripheral blood samples were analyzed on the Beckman Coulter LH750 cell counter, and the flagging and messages from the cell counter were used to select normal or pathological samples. Samples without flags (N = 50), with >2% erythroblasts (N = 80), or with "Blast" or "Verify diff" flags (N = 54) were investigated. We used a lyse-no-wash method to ensure minimal loss of fragile cells with live gating on DRAQ5-positive cells to acquire only nucleated cells. The FL-1 to FL-4 channels were used for the antibodies CD36-FITC, CD203-PE, CD138-PE, CD45-ECD, CD16-Pcy5, and CD56-Pcy5. FL-5 was used for the DNA-stain DRAQ5. Results: Using live gate acquisition on DRAQ5, we were able to classify total nucleated cells into 10 classes. We were unable to identify megakaryocytes, but platelets could be studied by rerunning the sample after dilution and gating on DRAQ5-negative CD36-posive events. Validation against digitized microscopy and cell counter showed linear correlations within each cell class with correlation coefficients that seem reasonable for cellular classification. The lowest correlation was found for basophil granulocytes. Flow cytometry detected twice as many immature neutrophils compared to microscopy. Conclusions: We have designed a one-tube immunophenotyping panel for classification of total nucleated cells and platelets in blood or bone marrow. The seven parameters available in one single tube in our cytometer seem to be enough for reliable differential count even in difficult pathological samples. The analytical imprecision of the flow cytometer differential was much lower than that obtained with microscopy or cell counter differentials. © 2007 Clinical Cytometry Society. [source]


Rule based processing of the CD4000, CD3200 and CD Sapphire analyser output using the Cerner Discern Expert Module

INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY, Issue 6 2009
P. BURGESS
Summary The latest version of our Laboratory Information System haematology laboratory expert system that handles the output of Abbott Cell-Dyn Sapphires, CD4000s and a CD3200 full blood count analyser in three high-volume haematology laboratories is described. The three hospital laboratories use Cerner Millennium Version 2007.02 software and the expert system uses Cerner Millennium Discern Expert rules and some small Cerner Command Language in-house programs. The entire expert system is totally integrated with the area-wide database and has been built and maintained by haematology staff members, as has the haematology database. Using patient demographic data, analyser numeric results, analyser error and morphology flags and previous results for the patient, this expert system decides whether to validate the main full blood count indices and white cell differential, or if the analyser results warrant further operator intervention/investigation before verifying, whether a blood film is required for microscopic review and if abnormal results require phoning to the staff treating the patient. The principles of this expert system can be generalized to different haematology analysers and haematology laboratories that have different workflows and different software. [source]


Transfusion in premature infants impairs production and/or release of red blood cells, white blood cells and platelets

JOURNAL OF PAEDIATRICS AND CHILD HEALTH, Issue 3 2002
B Frey
Objective: To examine whether red blood cell transfusion in infants with anaemia of prematurity alters peripheral counts of red blood cell precursors, total white blood cells and white cell differential and platelets. Methodology: In 18 consecutive stable premature infants with anaemia of prematurity, peripheral cell counts were prospectively recorded immediately before transfusion of 20 mL/kg packed red blood cells (given over 6 h), and at 48 h after completion of the transfusion. Results: The median (interquartile range) haematocrit increased from 22.0% (21.3,24.0%) pre-transfusion to 37.0% (36.0,38.0%) post-transfusion (P < 0.001). Red-cell precursors decreased: median (interquartile range) reticulocytes from 3.7% (3.0,7.7%) to 3.7% (2.6,4.1%) (P = 0.03); and median (interquartile range) nucleated red blood cells from 0 G/L (0,0.2 G/L) to 0 G/L (0,0 G/L) (P = 0.03). The mean (SD) platelet count decreased from 420 G/L (154 G/L) to 313 G/L (101 G/L) (P = 0.001). The total white blood cell count and neutrophils did not change significantly; however, median (interquartile range) immature neutrophils decreased from 0.12 G/L (0.06,0.74 G/L) to 0.08 G/L (0.01,0.24 G/L) (P = 0.03). Lymphocytes, eosinophils, basophils and plasma cells remained unchanged. Monocytes increased (P = 0.01). Conclusions: Forty-eight hours after red blood cell transfusion to premature infants, there is an absolute decrease in red blood cell precursors, immature white blood cells and platelets, probably due to erythropoietin-suppression. [source]


Analysis of canine and feline haemograms using the VetScan HMT analyser

JOURNAL OF SMALL ANIMAL PRACTICE, Issue 10 2003
E. C. Dewhurst
The VetScan HMT is an impedance counter haematology analyser which produces a full blood count and three-part white blood cell differential. The aim of this study was to compare the results generated by the analyser with those obtained by standard methods used routinely in the authors'laboratory. Blood samples from 68 dogs and 59 cats were run on the VetScan HMT analyser and also subjected to reference methods, and the results obtained were compared. Correlation coefficients (feline/canine) were: 0·97/0·99 for haematocrit (Hct), 0*middot;98/0·99 for haemoglobin (Hb), 0·81/0·98 for total white blood cells (WBC), and 0·89/0·97 for granulocyte and 0·65/0·93 for platelet counts. Coefficients for lymphocyte counts were 0·25/0·28 and for monocyte counts were 0·12/0·79. In conclusion, the VetScan HMT performed well on canine samples, showing excellent correlation for canine Hct, Hb, RBC, WBC, granulocyte and platelet counts. For feline samples, although there was excellent correlation for Hct, Hb and RBC, the WBC and three-part white blood cell differential and platelet count should be interpreted with caution as they can be unreliable. [source]


Induced sputum nitrites correlate with FEV1 in children with cystic fibrosis

ACTA PAEDIATRICA, Issue 5 2010
N Anil
Abstract Aim:, To determine the difference in the levels of nitrites in induced sputum of children with cystic fibrosis (CF) and controls. Furthermore, to evaluate the association between induced sputum nitrites and lung function in children with CF. Methods:, Nitrites, cell differentials, white blood cell count, were estimated in induced sputum of 20 children with CF and 10 age-matched healthy controls. Nitrites in induced sputum samples were measured using the Greiss assay. Lung function was ascertained by spirometry. Results:, We observed high levels of nitrites in CF (184.8 ± 11.07 ,M/L) versus controls (56.4 ± 5.7 ,M/L) (p < 0.01). A positive correlation between neturophil percent and nitrites, white blood cell count and nitrites (p < 0.05) in children with CF was observed. Sputum nitrites correlated negatively with FEV1 (p < 0.05) in children with CF. Conclusion:, Induced sputum nitrite could serve as a useful non invasive marker for assessing the degree of inflammation in the airways of children with CF. [source]