Automated blood cell counters
Principle, Uses ,Advantages,
Disadvantages ,Quality control
What do Automated Analyzers Perform?
• Counting of WBCs, RBCs and Platelets
• Measurement of Hemoglobin
• Calculation of Hematological Indices (Absolute
Values)
• Some can perform Differential counts (3 part and
5 part)
• Some can also indicate abnormalities of RBCs,
Platelets and WBCs (Flags)
Advantages
• Automation provides both greater accuracy and
greater precision than manual method.
• These analyzers typically provide the eight standard
hematology parameters (complete blood count
[CBC] plus a three-part or five part differential
leucocyte counts in less than one minute on 100µl
of whole blood.
• Automation thus allows for more efficient workload
management and more timely diagnosis and
treatment of disease.
Disadvantages
• Limitations in the methodology
• Many systems are impractical for small numbers of
Samples
• Back-up procedures must be available in case of
instrument failures
• Automated systems are expensive to purchase and
Maintain
Regular maintenance requires technicians and service
engineers
• Tests that are not required are also run
CELL-COUNTING TECHNOLOGIES
1) Electrical-Impedance Cell Counting
Blood cell counting and sizing uses low -voltage
DC current (resistance to cell volume)
external
electrode
internal
electrode
aperture
vacuum
Impedance..
The number of pulses = blood cell count
The amplitude (height) of the pulse = Volume of cell
The poorly conductive blood cells
are suspended in a conductive
diluent which passes through an
electric field created between two
electrodes.
Computing and generation of graph
• Each pulse is recorded
as an oscillation , the
height of which is
proportional to the
volume and size of the
cell
• These oscillations are
rearranged according to
volume interval to form
a histogram.
2) Radiofrequency conductivity
High-voltage electromagnetic current (AC) short -
circuits the bipolar lipid layer of a cell ’s membrane,
allowing the energy to penetrate the cell.
This enables the collection of information
proportional to cell size and internal structure,
including chemical and physical composition and
nuclear volume
CELL-COUNTING TECHNOLOGIES
3) Optical Light-Scatter Cell Counting
• A laser beam (monochromatic)or tungsten-
halogen light beam is directed at a stream of blood
cells passing through a narrow channel
• When the light beam strikes a cell, the beam is
scattered at an angle.
• The speed and angle of scatter of the beam of light
(index of refraction of the cell)differ according to the
cell type and is influenced by the shape and volume
of the cell
Optical Light-Scatter Cell Counting
Sensors detect how much light is scattered and how much of the beam is
absorbed by the cell
Combination of electrical impedance and light-scatter
CELL-COUNTING TECHNOLOGIES
4) Optical absorbance
• Based on a cytochemical reaction using the
intracellular myeloperoxidase enzyme of the
leukocytes
• Absorbance of white light from a tungsten light source
is a measure that is proportional to the intensity of
the peroxidase reaction
• Neutrophils, monocytes, and eosinophils are
peroxidase positive
• Lymphocytes and basophils are peroxidase negative
CELL-COUNTING TECHNOLOGIES
5) Fluorescence
Fluorescent dyes stain cell membrane and
intracellular structures
As they pass through the sensing zone they emit
different wavelengths of fluorescent light
Immunophenotype (cell surface antigens using
labeled antibodies), DNA (nucleated red cells), and
RNA (reticulocytes) content, and other cellular
characteristics
automated hematology analyser for labora
88 µl sample volume
Individual proportions for
each application
Overview
One system. Three different measurement techniques
• Sheath Fluid DC (Direct Current) Detection Method :
Impedance based counting of RBCs and PLTs.
Hydrodynamic focusing of RBCs and PLTs using a sheath fluid.
Includes cumulative pulse height detection for HCT measurement.
• SLS haemoglobin method
Cyanide free, photometric HGB measurement
• Fluorescence flow cytometry
Separation and counting of various WBC and nucleated blood cells.
SLS Haemoglobin Method
• Lysis of RBC and other cells by SLS (Sodium lauryl
sulfate )
• Sodium lauryl sulfate is used as a deteregent
• RBCs are lysed to release haemoglobin
• Fe 2+ is oxidized to a trivalent Fe 3+ state
• Hydrophilic group of SLS interacts with Fe³
• A stable reaction product is formed
• Photochemical properties are used for photometric
measurement at 555 nm
Sheath Flow DC (Direct Current) Detection
Method
Measurement of RBCs and PLTs on the
RBC/PLT channel
• 4 µl of whole blood diluted with Cellpack and
ejected from nozzle tip.
• Cells undergo hydrodynamic focusing.
• A sheath fluid promotes the formation of a
stream of
individual cells.
• All blood cells pass through
the center of the aperture
• Across the aperture an
electrical current is applied
• Slight resistance changes are
caused, which are seen as
electrical pulses
• The pulse height accurately
reflects the blood cell volume
• Cell-specific resistance signals are sensitively
detected.
• Data are translated/visualized into histograms.
• Cell number and cell size are reflected.
• RBC count and PLT count are provided.
• Result output - RBC histogram
• Histogram reflects number and cell size (cell
volume) of RBCs.
• Gaussian normal distribution.
• Lower (LD) and upper discriminator (UD)
indicate limits.
Result output. RBC and PLT histograms
Coulter principle of cell counting based on
Electronic impedance
• Two electrodes are placed on each side of the aperture
• Electric current passes through the electrodes continuously.
• The poorly conductive blood cells are suspended in a conductive diluent
(liquid).
• The diluent is passed through an electric field created between two
electrodes.
• The liquid passes through a small aperture (hole).
• The passage of each particle through the aperture momentarily increases
the impedance (resistance) of the electrical path between the electrodes.
• The increase in impedance creates a pulse that can be measured.
• The number of pulses = blood cell count
• The amplitude (height) of the pulse = Volume of cell
automated hematology analyser for labora
Possible causes of Curve not
starting at baseline :
Platelet clumps
Giant platelets
RBC fragments
Microcytes
The RDW is a quantitative measure of how
variable the size of the individual red cells is
(anisocytosis)
RDW-SD and RDW-CV
automated hematology analyser for labora
automated hematology analyser for labora
Multiple peak of RBC Histogram
Calculation of RBC indices
Parameter Meaning Calculation Unit
MCV
mean corpuscular
volume
Size
or volume of one
average RBC
= HCT x 10
RBC
fl
MCH
mean corpuscular
haemoglobin
Haemoglobin
content in
one average RBC
= Hb x 10
RBC pg
MCHC
mean corpuscular
HGB concentration
Average
haemoglobin
concentration
within
RBCs
= Hb × 100
HCT g/dl
• Hematocrit is determined by Pulse height
determination method
Platelet Parameters
• MPV –Mean Platelet Volume
»MPV = PCT[%]/ PLT count
»Reference range: 8 –12 fl
»Besides P-LCR, the MPV might indicate increased
platelet production.
»Parameter used for the control of platelet
generation
• Platelet distribution width (PDW) measures
volume variability in platelet size
Platelet Parameters
• P-LCR –Platelet Large Cell Ratio
»Indicates platelets larger than 12 fl
»Reference range: 15 –35 fl
»High P-LCR values might implicate and increase in
immature platelets.
»In addition, changes in the P-LCR can be a sign for
‒PLT clumps
‒Giant PLT
‒Microerythrocytosis
Three-Part Differential count
3 distinct size classifications using Electrical Impedance
Five-Part Differentials
• VCS (Volume, Conductivity and light Scatter) technology -Beckman
Coulter series
o Volume (V): Measured using electrical impedance
o Conductivity (C): Analyzes the ability of a cell to conduct an
electric current, revealing internal structures like the nucleus and
cytoplasm.
o Scatter (S): Measures the intensity of light scattered by a cell at
different angles, reflecting cell surface variations
• Multi-angle polarized light-scatter separation (MAPSS):Abbott
Diagnostics markets the Cell-Dyn series-light-scatter pattern
measured from four specific angles
Fluorescence Flow Cytometry
• Fluorescence is the emission of
light by a substance that has
absorbed light.
• Sub-cellular structures are
specifically labeled with
fluorescent dyes.
• Cells are irradiated with a
beam of a semiconductor laser.
• Cells emit light according to
the fluorescent marker.
Principle : Flow Cytometry
WNR, WDF, WPC, RET, PLT-F channel
SSC provides information on cell complexity
and intracellular structures
Three dimensional signal detection
Three dimensional signal detection
Emitted light is analysed according to three different
dimensions:
• Forward Scattered Light (FSC) provides information on
cell size
• Side Scattered Light (SSC) provides information about
the internal cell structure and its content, such as
nucleus and granules
• Side Fluorescent Light (SFL) reflects type and amount
of nucleic acids present in the cell
WNR channel
• Lysercell WNR:
‒Acidic lysis and perforation reagent.
‒Causes hemolysis of the red blood cells.
‒Perforates the cell membrane of the white blood cells,
‒Causes a reduction of the cell size of white blood cells (except basophils).
‒WBCs (except basophils) will form a single population.
‒NRBCs are degraded, except their nucleus
• Fluorocell WNR:
- Penetrates the cell membrane
‒Marks nucleic acids & cell organelles of
White blood cells and Nucleated red blood cells.
Reagent reactions : WNR channel
Reagent:
・ Lysercell WNR
・ Fluorocell WNR
WNR Scattergram
SFL
FSC
BASO
WBC
NRBC
Debris
Parameters:
WBC, NRBC, BASO
Flag:
PLT Clumps?, NRBC Present,
WBC Abnormal Scattergram
automated hematology analyser for labora
automated hematology analyser for labora
WDF Channel
• Lysercell WDF:
‒Lysercell WDF causes haemolysis of the red blood cells and platelets.
‒It perforates the cell membrane of the WBCs, depending on the cell
characteristics of each white blood cell
• Fluorocell WDF:
‒Labeling of nucleic acids & cell organelles of
‒White blood cells and
‒other nucleated cells.
‒Fluorescence intensity varies among
‒Different types of WBCs.
‒Types and amount of nucleic acids.
Reagent:
・ Lysercell WDF
・ Fluorocell WDF
WDF Scattergram
SSC
SFL
EO
NEUT
LYMPH
Debris
MONO IG
Blast
Abn_Lymph
Parameters:
NEUT, LYMPH, MONO, EO, IG
Flag:
Atypical lymph?, Blast/Abn Lymph?,
IG present, PLT Clumps?,
WBC Abnormal Scattergram
Reagent reactions : WDF channel
Atypical lymph
automated hematology analyser for labora
automated hematology analyser for labora
Reactive lymphocytes
automated hematology analyser for labora
Ningombam A, Acharya S, Sarkar A, Kumar K, Chopra A. Scattergram
patterns of hematological malignancies on sysmex XN-series analyzer. J
Appl Hematol 2021;12:83-9
QUALITY CONTROL
Daily Start-Up Procedures*
• Daily cleaning
• Background counts
• Electronic checks
• Check calibration
• Run controls
• Compare open and closed mode
sampling (use a normal patient sample)
* Check instrument manual for
procedures
Must be
within
specified limits
Calibration
Calibration is required :
• at installation and every 12 months
• when control materials reflect an unusual trend or
shift, or are outside of the laboratory’s acceptable
limits, and other means of assessing and correcting
unacceptable control values fail to identify and correct
the problem.
• When service troubleshooting and/or parts
replacement has prompted a significant change in
range of control values
Quality Control Methods
• stabilised material
(Commercial)
• Patient replicates
• Delta checks
Stabilised Material
• Commercially available
• Known values (assayed only)
• Can be run over time
• Analyse low, normal and high control
• Results stored in the instrument computer
Monitored with Levey-Jennings graphs
– Easily illustrates trends and shifts
QC Method: Patient Replicates
• Previously analysed patient sample
• Easily obtained
• Cost effective
• Results and samples readily available
QC Method: Delta Checks
• Compare a patient’s own leukocyte, haemoglobin, MCV, and
platelet values with previous results
– If difference between the two is greater than
laboratory-set limits, current result is flagged for
review
• Accuracy
– Value obtained is the closest to the correct value or the
true value
• Precision
– Relates to reproducibility or how close the test results are
to one another when performed repeatedly
Cont’d.,
Lab 1 Lab 2 Lab 3 Lab 4
10.0 9.0 10.3 10.0
9.0 9.0 10.0 10.0
11.2 9.0 9.6 10.1
11.1 9.0 10.0 10.0
9.3 9.0 10.3 10.1
8.9 9.0 10.4 10.0
9.1 9.0 9.8 9.9
Sample with Hb 10 g/dl
10.0
9.0
11.2
11.1
9.3
8.9
9.1
9.0
9.0
9.0
9.0
9.0
9.0
9.0
10.3
10.0
9.6
10.0
10.3
10.4
9.8
10.0
10.0
10.1
10.0
10.1
10.0
9.9
Accuracy and Precision
Quality Control
• Purpose of QC
– Assures proper functionality of instrumentation
– Means of assuring accuracy of unknowns
– Monitors the integrity of the calibration
• When controls begin to show evidence of unusual
trends
• When controls exceed the vendor’s defined acceptable
limits
• A single measurement on the
same sample repeated each day
for a period 20–30 days
• Convenient to use QC material
Precision (Between Batch, Long Term)
Mean = average of data =
65
Sum of all data divided by the total number
of data points
= (X1+X2+X3+….XN)/N
Example:
8+9+7+7+9+8 =48 (Sum)
= Sum/number of data points = 48/6 =8
MEAN = 8
Standard Deviation (SD)
66
Standard Deviation (SD) = is a measure of how
much the data varies around the MEAN
SD =
Coefficient of Variation (CV)
67
CV is SD expressed as a proportion of the mean
CV = (SD / Mean) x 100
CV is expressed as a percent (%)
Defining QC ranges
69
• QC range limits are defined by SD values
• Typically an acceptable range is established
using +/- 2 Standard Deviations (SD) around
the MEAN
• Statistically this covers 95% of the expected
values
Standard deviation
 Measure of the variability in a data
set (precision measurement )
 It is the square root of the variance
The First SD
 Represents 68% of the values that
will cluster above or below the
mean
The Second SD
 Represents 95.5% of values falling
above or below the mean
The Third SD
 Represents 99.7% of values above or
below the mean
Gaussian Curve
Quality Control Terms - Cont’d.,
71
Things that increase your CVH
–Day to day instrument differences
–Electrical and power quality
–Different persons operating the instrument
–QC material preparation
– Reagent Quality
SMILE 72
Increasing CV
Jan 2.1
Feb 2.3
Mar 2.2
Apr 2.4
May 2.5
Jun 2.8
Jul 2.9
Aug 3.1
Sep 3.2
Oct 3.4
Nov 2.5
Dec 2.3
CVH 2.64
1 2 3 4 5 6 7 8 9 10 11 12
0
0.5
1
1.5
2
2.5
3
3.5
4
12 month plot with
increasing CVH
%CV
h
Month
Monitor CVH to alert for problems
Levey-Jennings Chart (QC Chart)
Out of control graph
Shift and trend
Shift Trend
automated hematology analyser for labora
Shift Trend
Shift and Trend
• Change of reagent lot
• Major instrument
maintenance
• Faulty Calibration
• Malfunction of analyser
• Gradual accumulation of
debris in sample/reagent
tubing
• Gradual deterioration of
control materials
• Gradual deterioration of
reagent
When a Control is Outside its Expected
Range
Ensure the control
– Material was mixed and warmed properly
• If not, mix it according to the package insert
– Identification information was entered correctly
• If using the numeric keypad, verify you typed the
correct information
– Setup information (assigned values and expected
ranges) matches the control package insert for
the current lot number being used
• If they do not match, change the control’s
information to match the package insert
1
→
When a Control is Outside its Expected
Range
If any of the problems existed, rerun the
control; otherwise, proceed to the next step
2
What should be done if QC Results are
Unacceptable?
Verify instrument functioning
Check for shifts and trends
Troubleshoot
Repeat the assay
Troubleshoot “OUT OF
CONTROL” VALUES
Correct procedure for running QC
• Remove the vial from
the refrigerator and
equilibrate with room
temperature (15 – 30
°C) for at least 15
minutes before use.
• Roll each vial between
the palms of your hands
for 15 seconds
• Holding the vial from end
to end between the thumb
and forefinger, invert the
vial 20 times
• Analyse the QC material on
the instrument as per SOP
• Subsequent analyses
during this test period may
be performed by inverting
the vial 5 times prior to
instrument analysis.
• Return the vial to the
refrigerator (2 – 8 °C) for
storage
Rule Criteria
Error
type
Action
12s One control measurement exceeding 2 SD of control limits
either above or below the mean
RE/SE Warning
13s Single control measurement exceed the 3 SD of control
limits either above or below the mean
RE Rejection
22s
2 consecutive control measurements exceed 2 SD of control
limits on the same side of mean (within run/across run)
SE Rejection
R4s One control level above 2 SD and another control level below
2 SD in the same run
RE Rejection
41s
4th consecutive control measurement exceeding 1 SD on the
same side of the mean(within run/across run) SE Rejection
10x
10 consecutive measurements on the same side of the mean
(within run/across run) SE Rejection
Westgard Multirule
automated hematology analyser for labora
automated hematology analyser for labora
automated hematology analyser for labora
automated hematology analyser for labora
• 41s rule detects small systematic error; very few
applications
• 10x rule Detects very small errors
• Preferred Rules - 13s , 22s , R4s in hematology
Westgard Rule Application in Cell Counters
• External quality control or external assessment scheme (EQAS)
or Proficiency Testing program (PT)
• Process of controlling the accuracy of an analytical method by
inter-laboratory comparisons
• Objective evaluation by an external agency (international/
national / regional basis)
• Samples are sent to the laboratory from a provider at specified
time intervals. They are tested along with patient samples
Proficiency Testing Program (EQA)
• The results are returned to the provider and the provider determines if the
results are acceptable
• The EQAS coordinator gathers all the results and groups them (peer groups)
according to the laboratories analytical methods, analyzers or any other
criteria
• Target value (consensus mean) and its total variation (expressed as standard
deviation)
• Comparative performance with other labs
• PT will not detect all problems in the laboratory
Proficiency Testing Program (EQA)

More Related Content

PPTX
Automation in Haematology - HAEM III MLH 305.pptx
PPTX
Hematology analysor and its working
PPTX
Automation in hematology
PPTX
Automated cell counters
PPTX
Automated cell counters
PDF
automationinhematology-230328155229-e61e0eda.pdf
PPTX
PPTX
CellCounter_DAE_V0.0.pptx
Automation in Haematology - HAEM III MLH 305.pptx
Hematology analysor and its working
Automation in hematology
Automated cell counters
Automated cell counters
automationinhematology-230328155229-e61e0eda.pdf
CellCounter_DAE_V0.0.pptx

Similar to automated hematology analyser for labora (20)

PPTX
Haematology Analyzer
PPTX
Newer automated parameters used in hematology.pptx
PDF
Analizadores Hematológicos Flags and Troubleshooting.pdf
PPT
Flow Cytometry - basics, principles and applications
PPTX
AUTOMATION IN HAEMATOLOGY.pptx
PDF
automationinhaematology-230710111152-df07c3f4 (1).pdf
PPTX
Hematology auto analyzer
PPTX
Flow cytometry in cell biology
PPTX
Raju automation Msc MLT PATHOLOGY
PPT
Flow cytometry
PDF
ABC of automated CBC
PPTX
CBC, Principle of Cell Counter, Interpretation of Histogram & Scattergram - D...
PDF
Illustrated HEME basics Presentation.pdf
PDF
Ntc hematology may_1_2013
PPTX
flow cytometry.pptx
PPTX
660326072-Automation-in-Haematology-5-1.pptx
PPTX
cbc automatation presentation for post graduates.pptx
PPTX
hematologyautoanalyzer-11014608 (1).pptx
PPTX
Automation in clinical hematology
PPT
Automation in haematology bernard
Haematology Analyzer
Newer automated parameters used in hematology.pptx
Analizadores Hematológicos Flags and Troubleshooting.pdf
Flow Cytometry - basics, principles and applications
AUTOMATION IN HAEMATOLOGY.pptx
automationinhaematology-230710111152-df07c3f4 (1).pdf
Hematology auto analyzer
Flow cytometry in cell biology
Raju automation Msc MLT PATHOLOGY
Flow cytometry
ABC of automated CBC
CBC, Principle of Cell Counter, Interpretation of Histogram & Scattergram - D...
Illustrated HEME basics Presentation.pdf
Ntc hematology may_1_2013
flow cytometry.pptx
660326072-Automation-in-Haematology-5-1.pptx
cbc automatation presentation for post graduates.pptx
hematologyautoanalyzer-11014608 (1).pptx
Automation in clinical hematology
Automation in haematology bernard
Ad

Recently uploaded (20)

PPTX
Post Op complications in general surgery
PPTX
@K. CLINICAL TRIAL(NEW DRUG DISCOVERY)- KIRTI BHALALA.pptx
PPTX
merged_presentation_choladeck (3) (2).pptx
PDF
AGE(Acute Gastroenteritis)pdf. Specific.
PPTX
Hearthhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh
PPTX
Reading between the Rings: Imaging in Brain Infections
PDF
Lecture on Anesthesia for ENT surgery 2025pptx.pdf
PPT
Rheumatology Member of Royal College of Physicians.ppt
PPTX
NRP and care of Newborn.pptx- APPT presentation about neonatal resuscitation ...
PPT
nephrology MRCP - Member of Royal College of Physicians ppt
PDF
OSCE SERIES - Set 7 ( Questions & Answers ).pdf
PPTX
ANESTHETIC CONSIDERATION IN ALCOHOLIC ASSOCIATED LIVER DISEASE.pptx
PPTX
Physiology of Thyroid Hormones.pptx
PDF
Comparison of Swim-Up and Microfluidic Sperm Sorting.pdf
PDF
SEMEN PREPARATION TECHNIGUES FOR INTRAUTERINE INSEMINATION.pdf
PDF
04 dr. Rahajeng - dr.rahajeng-KOGI XIX 2025-ed1.pdf
PPTX
HYPERSENSITIVITY REACTIONS - Pathophysiology Notes for Second Year Pharm D St...
PPTX
SHOCK- lectures on types of shock ,and complications w
PPTX
y4d nutrition and diet in pregnancy and postpartum
PDF
Glaucoma Definition, Introduction, Etiology, Epidemiology, Clinical Presentat...
Post Op complications in general surgery
@K. CLINICAL TRIAL(NEW DRUG DISCOVERY)- KIRTI BHALALA.pptx
merged_presentation_choladeck (3) (2).pptx
AGE(Acute Gastroenteritis)pdf. Specific.
Hearthhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh
Reading between the Rings: Imaging in Brain Infections
Lecture on Anesthesia for ENT surgery 2025pptx.pdf
Rheumatology Member of Royal College of Physicians.ppt
NRP and care of Newborn.pptx- APPT presentation about neonatal resuscitation ...
nephrology MRCP - Member of Royal College of Physicians ppt
OSCE SERIES - Set 7 ( Questions & Answers ).pdf
ANESTHETIC CONSIDERATION IN ALCOHOLIC ASSOCIATED LIVER DISEASE.pptx
Physiology of Thyroid Hormones.pptx
Comparison of Swim-Up and Microfluidic Sperm Sorting.pdf
SEMEN PREPARATION TECHNIGUES FOR INTRAUTERINE INSEMINATION.pdf
04 dr. Rahajeng - dr.rahajeng-KOGI XIX 2025-ed1.pdf
HYPERSENSITIVITY REACTIONS - Pathophysiology Notes for Second Year Pharm D St...
SHOCK- lectures on types of shock ,and complications w
y4d nutrition and diet in pregnancy and postpartum
Glaucoma Definition, Introduction, Etiology, Epidemiology, Clinical Presentat...
Ad

automated hematology analyser for labora

  • 1. Automated blood cell counters Principle, Uses ,Advantages, Disadvantages ,Quality control
  • 2. What do Automated Analyzers Perform? • Counting of WBCs, RBCs and Platelets • Measurement of Hemoglobin • Calculation of Hematological Indices (Absolute Values) • Some can perform Differential counts (3 part and 5 part) • Some can also indicate abnormalities of RBCs, Platelets and WBCs (Flags)
  • 3. Advantages • Automation provides both greater accuracy and greater precision than manual method. • These analyzers typically provide the eight standard hematology parameters (complete blood count [CBC] plus a three-part or five part differential leucocyte counts in less than one minute on 100µl of whole blood. • Automation thus allows for more efficient workload management and more timely diagnosis and treatment of disease.
  • 4. Disadvantages • Limitations in the methodology • Many systems are impractical for small numbers of Samples • Back-up procedures must be available in case of instrument failures • Automated systems are expensive to purchase and Maintain Regular maintenance requires technicians and service engineers • Tests that are not required are also run
  • 5. CELL-COUNTING TECHNOLOGIES 1) Electrical-Impedance Cell Counting Blood cell counting and sizing uses low -voltage DC current (resistance to cell volume)
  • 6. external electrode internal electrode aperture vacuum Impedance.. The number of pulses = blood cell count The amplitude (height) of the pulse = Volume of cell The poorly conductive blood cells are suspended in a conductive diluent which passes through an electric field created between two electrodes.
  • 7. Computing and generation of graph • Each pulse is recorded as an oscillation , the height of which is proportional to the volume and size of the cell • These oscillations are rearranged according to volume interval to form a histogram.
  • 8. 2) Radiofrequency conductivity High-voltage electromagnetic current (AC) short - circuits the bipolar lipid layer of a cell ’s membrane, allowing the energy to penetrate the cell. This enables the collection of information proportional to cell size and internal structure, including chemical and physical composition and nuclear volume
  • 9. CELL-COUNTING TECHNOLOGIES 3) Optical Light-Scatter Cell Counting • A laser beam (monochromatic)or tungsten- halogen light beam is directed at a stream of blood cells passing through a narrow channel • When the light beam strikes a cell, the beam is scattered at an angle. • The speed and angle of scatter of the beam of light (index of refraction of the cell)differ according to the cell type and is influenced by the shape and volume of the cell
  • 10. Optical Light-Scatter Cell Counting Sensors detect how much light is scattered and how much of the beam is absorbed by the cell Combination of electrical impedance and light-scatter
  • 11. CELL-COUNTING TECHNOLOGIES 4) Optical absorbance • Based on a cytochemical reaction using the intracellular myeloperoxidase enzyme of the leukocytes • Absorbance of white light from a tungsten light source is a measure that is proportional to the intensity of the peroxidase reaction • Neutrophils, monocytes, and eosinophils are peroxidase positive • Lymphocytes and basophils are peroxidase negative
  • 12. CELL-COUNTING TECHNOLOGIES 5) Fluorescence Fluorescent dyes stain cell membrane and intracellular structures As they pass through the sensing zone they emit different wavelengths of fluorescent light Immunophenotype (cell surface antigens using labeled antibodies), DNA (nucleated red cells), and RNA (reticulocytes) content, and other cellular characteristics
  • 14. 88 µl sample volume Individual proportions for each application
  • 15. Overview One system. Three different measurement techniques • Sheath Fluid DC (Direct Current) Detection Method : Impedance based counting of RBCs and PLTs. Hydrodynamic focusing of RBCs and PLTs using a sheath fluid. Includes cumulative pulse height detection for HCT measurement. • SLS haemoglobin method Cyanide free, photometric HGB measurement • Fluorescence flow cytometry Separation and counting of various WBC and nucleated blood cells.
  • 16. SLS Haemoglobin Method • Lysis of RBC and other cells by SLS (Sodium lauryl sulfate ) • Sodium lauryl sulfate is used as a deteregent • RBCs are lysed to release haemoglobin • Fe 2+ is oxidized to a trivalent Fe 3+ state • Hydrophilic group of SLS interacts with Fe³ • A stable reaction product is formed • Photochemical properties are used for photometric measurement at 555 nm
  • 17. Sheath Flow DC (Direct Current) Detection Method Measurement of RBCs and PLTs on the RBC/PLT channel • 4 µl of whole blood diluted with Cellpack and ejected from nozzle tip. • Cells undergo hydrodynamic focusing. • A sheath fluid promotes the formation of a stream of individual cells.
  • 18. • All blood cells pass through the center of the aperture • Across the aperture an electrical current is applied • Slight resistance changes are caused, which are seen as electrical pulses • The pulse height accurately reflects the blood cell volume
  • 19. • Cell-specific resistance signals are sensitively detected. • Data are translated/visualized into histograms. • Cell number and cell size are reflected. • RBC count and PLT count are provided.
  • 20. • Result output - RBC histogram • Histogram reflects number and cell size (cell volume) of RBCs. • Gaussian normal distribution. • Lower (LD) and upper discriminator (UD) indicate limits.
  • 21. Result output. RBC and PLT histograms
  • 22. Coulter principle of cell counting based on Electronic impedance • Two electrodes are placed on each side of the aperture • Electric current passes through the electrodes continuously. • The poorly conductive blood cells are suspended in a conductive diluent (liquid). • The diluent is passed through an electric field created between two electrodes. • The liquid passes through a small aperture (hole). • The passage of each particle through the aperture momentarily increases the impedance (resistance) of the electrical path between the electrodes. • The increase in impedance creates a pulse that can be measured. • The number of pulses = blood cell count • The amplitude (height) of the pulse = Volume of cell
  • 24. Possible causes of Curve not starting at baseline : Platelet clumps Giant platelets RBC fragments Microcytes
  • 25. The RDW is a quantitative measure of how variable the size of the individual red cells is (anisocytosis) RDW-SD and RDW-CV
  • 28. Multiple peak of RBC Histogram
  • 29. Calculation of RBC indices Parameter Meaning Calculation Unit MCV mean corpuscular volume Size or volume of one average RBC = HCT x 10 RBC fl MCH mean corpuscular haemoglobin Haemoglobin content in one average RBC = Hb x 10 RBC pg MCHC mean corpuscular HGB concentration Average haemoglobin concentration within RBCs = Hb × 100 HCT g/dl
  • 30. • Hematocrit is determined by Pulse height determination method
  • 31. Platelet Parameters • MPV –Mean Platelet Volume »MPV = PCT[%]/ PLT count »Reference range: 8 –12 fl »Besides P-LCR, the MPV might indicate increased platelet production. »Parameter used for the control of platelet generation • Platelet distribution width (PDW) measures volume variability in platelet size
  • 32. Platelet Parameters • P-LCR –Platelet Large Cell Ratio »Indicates platelets larger than 12 fl »Reference range: 15 –35 fl »High P-LCR values might implicate and increase in immature platelets. »In addition, changes in the P-LCR can be a sign for ‒PLT clumps ‒Giant PLT ‒Microerythrocytosis
  • 33. Three-Part Differential count 3 distinct size classifications using Electrical Impedance
  • 34. Five-Part Differentials • VCS (Volume, Conductivity and light Scatter) technology -Beckman Coulter series o Volume (V): Measured using electrical impedance o Conductivity (C): Analyzes the ability of a cell to conduct an electric current, revealing internal structures like the nucleus and cytoplasm. o Scatter (S): Measures the intensity of light scattered by a cell at different angles, reflecting cell surface variations • Multi-angle polarized light-scatter separation (MAPSS):Abbott Diagnostics markets the Cell-Dyn series-light-scatter pattern measured from four specific angles
  • 35. Fluorescence Flow Cytometry • Fluorescence is the emission of light by a substance that has absorbed light. • Sub-cellular structures are specifically labeled with fluorescent dyes. • Cells are irradiated with a beam of a semiconductor laser. • Cells emit light according to the fluorescent marker.
  • 36. Principle : Flow Cytometry WNR, WDF, WPC, RET, PLT-F channel SSC provides information on cell complexity and intracellular structures Three dimensional signal detection
  • 37. Three dimensional signal detection Emitted light is analysed according to three different dimensions: • Forward Scattered Light (FSC) provides information on cell size • Side Scattered Light (SSC) provides information about the internal cell structure and its content, such as nucleus and granules • Side Fluorescent Light (SFL) reflects type and amount of nucleic acids present in the cell
  • 38. WNR channel • Lysercell WNR: ‒Acidic lysis and perforation reagent. ‒Causes hemolysis of the red blood cells. ‒Perforates the cell membrane of the white blood cells, ‒Causes a reduction of the cell size of white blood cells (except basophils). ‒WBCs (except basophils) will form a single population. ‒NRBCs are degraded, except their nucleus • Fluorocell WNR: - Penetrates the cell membrane ‒Marks nucleic acids & cell organelles of White blood cells and Nucleated red blood cells.
  • 39. Reagent reactions : WNR channel Reagent: ・ Lysercell WNR ・ Fluorocell WNR WNR Scattergram SFL FSC BASO WBC NRBC Debris Parameters: WBC, NRBC, BASO Flag: PLT Clumps?, NRBC Present, WBC Abnormal Scattergram
  • 42. WDF Channel • Lysercell WDF: ‒Lysercell WDF causes haemolysis of the red blood cells and platelets. ‒It perforates the cell membrane of the WBCs, depending on the cell characteristics of each white blood cell • Fluorocell WDF: ‒Labeling of nucleic acids & cell organelles of ‒White blood cells and ‒other nucleated cells. ‒Fluorescence intensity varies among ‒Different types of WBCs. ‒Types and amount of nucleic acids.
  • 43. Reagent: ・ Lysercell WDF ・ Fluorocell WDF WDF Scattergram SSC SFL EO NEUT LYMPH Debris MONO IG Blast Abn_Lymph Parameters: NEUT, LYMPH, MONO, EO, IG Flag: Atypical lymph?, Blast/Abn Lymph?, IG present, PLT Clumps?, WBC Abnormal Scattergram Reagent reactions : WDF channel Atypical lymph
  • 48. Ningombam A, Acharya S, Sarkar A, Kumar K, Chopra A. Scattergram patterns of hematological malignancies on sysmex XN-series analyzer. J Appl Hematol 2021;12:83-9
  • 50. Daily Start-Up Procedures* • Daily cleaning • Background counts • Electronic checks • Check calibration • Run controls • Compare open and closed mode sampling (use a normal patient sample) * Check instrument manual for procedures Must be within specified limits
  • 51. Calibration Calibration is required : • at installation and every 12 months • when control materials reflect an unusual trend or shift, or are outside of the laboratory’s acceptable limits, and other means of assessing and correcting unacceptable control values fail to identify and correct the problem. • When service troubleshooting and/or parts replacement has prompted a significant change in range of control values
  • 52. Quality Control Methods • stabilised material (Commercial) • Patient replicates • Delta checks
  • 53. Stabilised Material • Commercially available • Known values (assayed only) • Can be run over time • Analyse low, normal and high control • Results stored in the instrument computer Monitored with Levey-Jennings graphs – Easily illustrates trends and shifts
  • 54. QC Method: Patient Replicates • Previously analysed patient sample • Easily obtained • Cost effective • Results and samples readily available
  • 55. QC Method: Delta Checks • Compare a patient’s own leukocyte, haemoglobin, MCV, and platelet values with previous results – If difference between the two is greater than laboratory-set limits, current result is flagged for review
  • 56. • Accuracy – Value obtained is the closest to the correct value or the true value • Precision – Relates to reproducibility or how close the test results are to one another when performed repeatedly Cont’d.,
  • 57. Lab 1 Lab 2 Lab 3 Lab 4 10.0 9.0 10.3 10.0 9.0 9.0 10.0 10.0 11.2 9.0 9.6 10.1 11.1 9.0 10.0 10.0 9.3 9.0 10.3 10.1 8.9 9.0 10.4 10.0 9.1 9.0 9.8 9.9 Sample with Hb 10 g/dl
  • 59. Quality Control • Purpose of QC – Assures proper functionality of instrumentation – Means of assuring accuracy of unknowns – Monitors the integrity of the calibration • When controls begin to show evidence of unusual trends • When controls exceed the vendor’s defined acceptable limits
  • 60. • A single measurement on the same sample repeated each day for a period 20–30 days • Convenient to use QC material Precision (Between Batch, Long Term)
  • 61. Mean = average of data = 65 Sum of all data divided by the total number of data points = (X1+X2+X3+….XN)/N Example: 8+9+7+7+9+8 =48 (Sum) = Sum/number of data points = 48/6 =8 MEAN = 8
  • 62. Standard Deviation (SD) 66 Standard Deviation (SD) = is a measure of how much the data varies around the MEAN SD =
  • 63. Coefficient of Variation (CV) 67 CV is SD expressed as a proportion of the mean CV = (SD / Mean) x 100 CV is expressed as a percent (%)
  • 64. Defining QC ranges 69 • QC range limits are defined by SD values • Typically an acceptable range is established using +/- 2 Standard Deviations (SD) around the MEAN • Statistically this covers 95% of the expected values
  • 65. Standard deviation  Measure of the variability in a data set (precision measurement )  It is the square root of the variance The First SD  Represents 68% of the values that will cluster above or below the mean The Second SD  Represents 95.5% of values falling above or below the mean The Third SD  Represents 99.7% of values above or below the mean Gaussian Curve Quality Control Terms - Cont’d.,
  • 66. 71 Things that increase your CVH –Day to day instrument differences –Electrical and power quality –Different persons operating the instrument –QC material preparation – Reagent Quality
  • 67. SMILE 72 Increasing CV Jan 2.1 Feb 2.3 Mar 2.2 Apr 2.4 May 2.5 Jun 2.8 Jul 2.9 Aug 3.1 Sep 3.2 Oct 3.4 Nov 2.5 Dec 2.3 CVH 2.64 1 2 3 4 5 6 7 8 9 10 11 12 0 0.5 1 1.5 2 2.5 3 3.5 4 12 month plot with increasing CVH %CV h Month Monitor CVH to alert for problems
  • 69. Out of control graph
  • 72. Shift Trend Shift and Trend • Change of reagent lot • Major instrument maintenance • Faulty Calibration • Malfunction of analyser • Gradual accumulation of debris in sample/reagent tubing • Gradual deterioration of control materials • Gradual deterioration of reagent
  • 73. When a Control is Outside its Expected Range Ensure the control – Material was mixed and warmed properly • If not, mix it according to the package insert – Identification information was entered correctly • If using the numeric keypad, verify you typed the correct information – Setup information (assigned values and expected ranges) matches the control package insert for the current lot number being used • If they do not match, change the control’s information to match the package insert 1 →
  • 74. When a Control is Outside its Expected Range If any of the problems existed, rerun the control; otherwise, proceed to the next step 2
  • 75. What should be done if QC Results are Unacceptable? Verify instrument functioning Check for shifts and trends Troubleshoot Repeat the assay
  • 77. Correct procedure for running QC • Remove the vial from the refrigerator and equilibrate with room temperature (15 – 30 °C) for at least 15 minutes before use. • Roll each vial between the palms of your hands for 15 seconds
  • 78. • Holding the vial from end to end between the thumb and forefinger, invert the vial 20 times • Analyse the QC material on the instrument as per SOP • Subsequent analyses during this test period may be performed by inverting the vial 5 times prior to instrument analysis. • Return the vial to the refrigerator (2 – 8 °C) for storage
  • 79. Rule Criteria Error type Action 12s One control measurement exceeding 2 SD of control limits either above or below the mean RE/SE Warning 13s Single control measurement exceed the 3 SD of control limits either above or below the mean RE Rejection 22s 2 consecutive control measurements exceed 2 SD of control limits on the same side of mean (within run/across run) SE Rejection R4s One control level above 2 SD and another control level below 2 SD in the same run RE Rejection 41s 4th consecutive control measurement exceeding 1 SD on the same side of the mean(within run/across run) SE Rejection 10x 10 consecutive measurements on the same side of the mean (within run/across run) SE Rejection Westgard Multirule
  • 84. • 41s rule detects small systematic error; very few applications • 10x rule Detects very small errors • Preferred Rules - 13s , 22s , R4s in hematology Westgard Rule Application in Cell Counters
  • 85. • External quality control or external assessment scheme (EQAS) or Proficiency Testing program (PT) • Process of controlling the accuracy of an analytical method by inter-laboratory comparisons • Objective evaluation by an external agency (international/ national / regional basis) • Samples are sent to the laboratory from a provider at specified time intervals. They are tested along with patient samples Proficiency Testing Program (EQA)
  • 86. • The results are returned to the provider and the provider determines if the results are acceptable • The EQAS coordinator gathers all the results and groups them (peer groups) according to the laboratories analytical methods, analyzers or any other criteria • Target value (consensus mean) and its total variation (expressed as standard deviation) • Comparative performance with other labs • PT will not detect all problems in the laboratory Proficiency Testing Program (EQA)

Editor's Notes

  • #3: Hematology analyzers have been developed and are marketed by multiple instrument manufacturers.
  • #10: monochromatic, which means it has only one wavelength and travels in only one direction Combination of electrical impedance and light-scatter
  • #23: Two electrodes are placed on each side of the aperture. Electric current passes through the electrodes continuously. When a cell passes through the aperture, electric resistance (or impedance) between the 2 electrodes increases proportionately with cell volume.
  • #37: Multi-Angle Laser Polarized Light Scattering: This method employs a sheath flow solution to dilute the blood sample and preserve the natural state of the cells. A laser beam is used to analyze light scattered by the cells at four different angles. Since the amount of scattered light depends on factors like cell size, internal structure, and nucleus-to-cytoplasm ratio, this technique allows for comprehensive leukocyte classification.
  • #38: Fluorescence Flow Cytometry provides information about ‒Cell size and structure. ‒Intra-cellular complexity. Cells are counted and classified by fluorescence flow cytometry. Fluorescence flow cytometry is used to differentiate and count
  • #54: Possible Startup Problems and Fixes: (Example given when using a Coulter Analyser) When Reagents Fail: Ensure reagent information was entered properly. Replace expired reagents. When Background Fails: Perform a background test or rerun startup When Diluter, Analyser, Power Supply, HGB voltage fail: Perform a background test, if necessary rerun startup. If the problem occurs again call your service representative When precision test or ramp test fails: verify that the clean diluents covers the apertures and that there is no bleach or cleaning agents in the baths. Repeat the precision test or ramp test. If the problem occurs again call your service representative. Daily Cleaning Shut down procedure- Why is it important? To ensure optimal cleaning of the instrument the shutdown procedure must be followed daily.
  • #56: Be sure when you open up commercial controls that you check expiration date, then label date and initial when you open the vials.
  • #57: Any method used for quality control must use a material that meets two requirements Material must be stable Material must be similar in content to the patient samples that will be analysed Commercially available are stored in refrigerator (2-8°C). They should be warmed to ambient (room) temperature for 15 minutes before they are run on the analyser. The controls should be mixed by hand 8x8x8 two times. Do Differential Comparisons Perform manual differentials as a measure of good QC practice. Manual differentials are performed to verify the automated differential
  • #58: As part of Laboratory’s Quality Assurance program, a patient control (patient replicate) may be used as a quality control monitor.. Patient replicates are an acceptable method of QC when used in conjunction with another method. The premise being that if a sample is run and the functionality of the analyser has been verified prior to running that sample that results obtained from subsequent runs of the sample will yield comparable results if the instrument continues to function properly and will yield unacceptable results if there is an instrument problem. Example of limits that must be achieved when running patient replicates: WBC = 0.5, RBC= 0.15, HGB =0.6 , HCT= 2.5, MCV= 3.0, MCH= 1.2, MCHC=1.7, Plt=25
  • #59: Example of limits that must be achieved when running patient replicates: WBC = 0.5, RBC= 0.15, HGB =0.6 , HCT= 2.5, MCV= 3.0, MCH= 1.2, MCHC=1.7, Plt=25
  • #63: Quality control is an integral part of all laboratory assays and automated assays are no exception. A properly designed QC program enables the operator to be assured that all instrumentation is functioning properly and results obtained for patient samples are precise and accurate. There are several methods of QC that can be utilised by a laboratory. They are XB analysis, which uses patient samples and target values which are determined locally and when used properly can usually predict impending instrument problems Assayed stabilised materials can be used. These are products bought from a manufacturer that have values and acceptable ranges pre-established Previously analysed patient samples can also be analysed at various intervals to determine the functionality of the analyser
  • #65: MEAN is the average of the data. Add all data together and divide by the number of data points.
  • #66: This is the most complex of the math equations. I have included the equation, but it is best to use a calculator or a formula in an Excel spreadsheet. Each data point is compared to the MEAN and a squared difference from that MEAN is determined. All of the data point differences are then added together and divided by 1 less than the total number of data points. Then one must take the square root of this value. If you have many data points this is a lot of math. Better to let the computer or calculator do this for you.
  • #69: Since the SD values define our ranges and what results we consider accurate or wrong, it is important that this SD values be set carefully. Not too big or too small.
  • #72: Reagent going bad Calibration changing Decreasing instrument precision
  • #78: External assayed commercial controls for Haematology include low, normal and high controls.
  • #80: In the event QC is unacceptable there are a number of things that should or could be done. Firstly, check the daily startup was performed and no problems noted, check the controls for expiry date and proper warm up and mix. If this is an unexpected, unusual result and all other QC has been ok (especially that this doesn’t indicate a shift or trend), consider that one control hasn’t been properly mixed or warmed. Attend to this control and repeat. If previous QC looks ok, verify the integrity of the vial that yielded the value in question and discard the vial and open and repeat the control. If the problem is still occurring, perform any necessary troubleshooting. Once the performance of the analyser has been verified, it may be necessary to recalibrate the analyser in order to re-establish control
  • #84: 2of32s 2of32 2 out of 3 control measurements exceed 2 SD of control limits on the same side of mean Rejection