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Introduction to Flow 
Cytometry 
Rich Hastings 
KUMC Flow Cytometry Core Lab 
3901 Rainbow Boulevard 
Kansas City, KS 66160 
913-588-0627 
rhastings@kumc.edu 
http://www.kumc.edu/flow/
Flow Cytometry 
Flow (noun) = the motion characteristics of fluids. 
Cytometry (noun) = is a general name for a group of 
biological methods used to measure various 
parameters of cells. Parameters which can be 
measured by cytometric methods are cell size, the 
stage of the cell cycle, the DNA content of the cell, 
the existence or absence of specific proteins on the 
cell surface or in the cytoplasm, to name but a few. 
(Wikipedia)
Flow Cytometry 
All forms of Cytometry depend on the 
basic laws of physics, including those 
of fluidics, optics, and electronics. 
Watson, J. V. Cytometry, 38 2-14, 1999.
Flow Cytometry 
Flow cytometry is a system for sensing 
individual cells in a physiologic saline 
solution as they move in a focused liquid 
stream through a fixed laser beam scattering 
light and emitting fluorescence that is 
measured and converted into digitized data.
The History of Flow Cytometry 
1930’s Moldavan in Science described the counting of blood cells filing through 
a capillary tube using a photoelectric sensor. 
1940’s US Army constructed a device that detected bacteria in a stream of air, using a Ford 
headlight as a light source and a photomultiplier tube as a detector. 60% ~ 0.6 μm 
1950’s Caspersson measured nucleic acid and protein metabolism for normal and 
abnormal cell growth using a Cadmium spark as a UV light source. 
Coulter constructed a cell counter based on the fact that the electrical conductivity 
of cells is lower than that of saline. Saline conducts, cells impede. 
1960’s Kamentsky at IBM developed the Rapid Cell Spectrophotometer. It used an arc lamp 
source and measured nucleic acid content and cell size. A computer (!!!!) measured 
and analyzed the data. IBM loaned Herzenberg a prototype and he developed the 
first real FACS. 
1970’s Industry takes over technical development: BD, Beckman, Ortho etc.
The History of Flow Cytometry 
Frequency distribution of DNA content 
Cells from a normal cervix 
Cells from a cervical carcinoma 
Premalignant cells from the epithelium 
Quantitative cytochemical studies on normal, 
malignant, premalignant and atypical cell 
populations from the human uterine cervix, Acta 
Cytologica 8, 1964 
O. Caspersson 1964 
Images from Dr. Louis Kamentsky
The History of Flow Cytometry 
The Coulter Counter: Counts cells and measures 
their size based. 
Patent 
The first commercial version of the Coulter Counter
The History of Flow Cytometry 
LA Kamentsky, MR Melamed & H. Derman, Spectrophotometer: 
New instrument for ultrarapid cell analysis, Science 150, 1965
The History of Flow Cytometry 
Herzenberg Lab at Stanford, Early sorters and analyzers.
The History of Flow Cytometry 
Flow cytometry has benefited from the 
technological development of: 
Monoclonal antibodies 
Fluorochromes 
DNA, RNA and Functional stains 
Computers and the miniaturization of Electronics 
Lasers
How Flow Cytometers Work 
The principal of hydrodynamic focusing confines cells 
to the core (sample) stream by a cell-free sheath fluid. 
Injector 
Tip 
Sheath 
fluid 
(PBS) 
Laser interrogates 
Stream 
Objective is to have one 
cell pass through the 
laser intercept at a time. 
What makes flow cytometry 
so powerful is the ability to 
gather data on each cell 
individually but having the 
capability to analyze 1000’s 
of cells/sec.
How Flow Cytometers Work 
Sheath pressure is constant. 
Sample pressure is variable. 
Aria LSR II 
Flow is laminar. 
Flow cell shape allows for 
hydrodynamic focusing. 
Hydrodynamic focusing 
causes cells to line up 
along their long axes.
How Flow Cytometers Work 
Higher Flow Rate = Good for Qualitative Measurements 
Lower Flow Rate = Greater Resolution and Quantitative Measurements 
From BD LSR II manual
How Flow Cytometers Work 
Laser is an acronym for 
Light Amplification by Stimulated Emission 
of Radiation 
1. Lasers provide light of a specific wavelength. Most lasers used 
in flow cytometry operate in the visible spectrum. 
2. An important aspect of laser light is coherence. Coherent light 
has the same wavelength, phase and direction. 
3. Modern lasers generate light that is reliable and constant.
How Flow Cytometers Work 
Electromagnetic Spectrum 
Violet Laser Blue Laser Red Laser 
From: http://www.antonine-education.co.uk
How Flow Cytometers Work 
Laser interrogation of a cell tells us physical properties of that cell. 
Laser 
interrogates 
Cell in Flow Cell 
Incident light scattered 
at small angles (0.5- 
2.0º) is called Forward 
Scatter (FSC) 
Incident light scattered 
at an angle of 90º is 
called Side Scatter 
(SSC)
How Flow Cytometers Work 
Forward Scatter (FSC) 
Rough measure of size, influenced by the 
wavelength of light, and the angle, lenses and 
apertures that light is collected at and with. 
Different flow cytometers will give slightly 
different FSC measurements. 
Most flow cytometers measure FSC with a 
photodiode. Bacteria – Photomultiplier tube 
(PMT) 
Dead cells may have lower FSC measurements 
than live cells. Osmotic swelling can increase cell 
volume, and decrease light scatter. 
FACSCalibur 
Epics XL 
Data: Shapiro and Becker
How Flow Cytometers Work 
Forward Scatter (FSC) 
“A big problem in the published literature is the use of forward scatter as a 
trigger/discriminator. Whilst fairly robust for leukocyte detection it is the 
most variable signal between systems and it is most alignment critical. It is 
affected by refractive index mismatches between sheath and sample, beam 
geometry, polarization, beam stop position, and collection angle. In some 
cases the relative forward scatter position of particles of different sizes does not 
follow their relative order in physical size. In jet-in-air sorters the beam geometry 
and the jet undulation at the intercept are critical factors whereas in cuvette-based 
instruments these tend to be dirt on the optical surfaces and slight rotation 
of the flow cell to the beam axis.” 
Gerhard Nebe-von-Caron 
Cytometry Part A 75A: 8689, 2009
How Flow Cytometers Work 
Side Scatter (SSC) is the measure of light 
scattered at an angle of 90º (orthogonal). 
SSC is a measure of the complexity of the cell’s internal structures. 
The more ‘granular’ a cell is the higher its SSC will be. 
A neutrophil is much more granular than a lymphocyte. 
Measured using a photomultiplier tube.
How Flow Cytometers Work 
FSC vs. SSC alone tells us a great deal about our cells. 
Lymphocyte 
Eosinophil 
Basophil 
Neutrophil 
Monocyte
How Flow Cytometers Work 
Pulse Processing 
From BD LSRII Manual 
Laser
How Flow Cytometers Work 
Parameters Measured 
Height is the maximum digitized intensity measured for the pulse. 
Area is the sum of all pulse heights. 
Width is Area ÷ Height x 64,000. 
From BD LSRII Manual
How Flow Cytometers Work 
Flow cytometry takes advantage of molecules fluorescing after 
excitation by laser light. Fluorochromes can be conjugated to 
monoclonal antibodies. Many functional stains exist that fluoresce. 
Energy acquired by the absorbance of light of certain wavelengths in 
these molecules drive electrons to a higher energy state in an 
unoccupied orbital. 
The return of the electron to ground state results in the emission of 
photons of longer wavelength (lower energy).
How Flow Cytometers Work 
Fluorochromes absorb energy (light) and their electrons go from a ground state 
to an excited state. The electrons return to ground state by emitting light of 
lower energy, therefore longer wavelength. 
Figures from Flow Cytometry - A Basic Introduction 
by Michael G. Ormerod
How Flow Cytometers Work 
Tandem Dyes – One molecule is excited by laser light and donates the energy 
to the acceptor molecule. 
Figure from Jane Limer BD Application Scientist
How Flow Cytometers Work 
Fluorochromes 
Synthetic, Organic Dyes: 
FITC, the Dylights (Thermo Fisher Scientific), Cy dyes, Alexa Fluors (Molecular Probes), 
Horizon dyes (Becton Dickinson), eFluor dyes (eBioscience), Pacific Blue, Krome Orange 
(Beckman Coulter), Brilliant Violet (Biolegend) 
Proteins: 
R-phycoerythrin (PE) is a photosynthetic pigment found in red algae. It is a 240 kDa protein 
with 23 phycoerythrobilin chromophores per molecule. Very bright, and excellent as the 
donator molecule in a tandem fluorophore. 
Allophycocyanin (APC) is a photosynthetic pigment found in bluegreen algae. APC is 105 kDa 
and has six phycocyanobilin chromophores per molecule. Very bright, and excellent as the 
donator molecule in a tandem fluorophore. 
Green Fluorescent Protein is “genetically encoded fluorescence” encoded by a single gene. A 
whole family of fluorescent proteins has originated from GFP.
How Flow Cytometers Work 
The photons emitted by excited fluorophores are routed to Photo- 
Multiplier Tubes (PMT). 
1. Voltage is applied to the PMT making electrons present for the 
absorption of light energy from photons. 
2. As more photons are detected, more electrons are recruited 
yielding a greater current on the detector. 
3. IMPORTANT! If the PMT voltage is increased the same number of 
absorbed photons will have a greater current output, increasing the 
sensitivity of the PMT.
How Flow Cytometers Work 
The fluorescence intensity measured is proportional to the 
number of fluorescent molecules bound to the cell. 
From Applied Cytometry
How Flow Cytometers Work 
The Stokes Shift is the difference between the emission and 
excitation wavelength.
How Flow Cytometers Work 
Flow cytometers are engineered with precise light pathways. 
Light is routed through three different types of Filters. 
From BD LSR II manual
How Flow Cytometers Work 
Flow cytometers are engineered with precise light pathways. 
Cell 
Forward light scatter 0º 
A measure of cell size. 
488 nm 
Side scatter 90º 
A measure of cell granularity.
How Flow Cytometers Work 
Flow cytometers are engineered with precise light pathways. 
488 nm Light path 
in the LSRII
How Flow Cytometers Work 
405 nm Violet Laser 
Bandpass Filter Fluorochromes 
440/40 nm DAPI, Horizon V450, Alexa 
405, Pacific Blue, Brilliant 
Violet 421 
525/50 nm Pacific Orange, Cascade 
Yellow, Horizon V500, 
Brilliant Violet 570
How Flow Cytometers Work 
488 nm Blue Laser 
Bandpass Filter Fluorochromes 
780/60 nm PE-Cy7 
695/40 nm PE/Cy5, PE/Cy5.5, PerCP, 
PerCP-Cy5.5 
610/20 nm PI, PE-Texas Red 
575/26 nm PE, Cy3 
530/30 nm GFP, FITC, Alexa Fluor 488, 
CFSE
How Flow Cytometers Work 
633 nm Red Laser 
Bandpass Filter Fluorochromes 
780/60 nm APC/Cy7 
710/50 nm Alexa Fluor 700 
660/20 nm APC, Cy5, Alexa Fluor 647
Visualizing Flow Cytometry Data 
Dot plot: 
One parameter vs. 
another. 
Contour plot: 
One parameter vs. 
another showing 
the probability 
contouring. 
Density plot: 
One parameter vs. 
another, very good 
for viewing the 
frequency of 
subpopulations. 
Histogram plot: 
One parameter 
only. Y-axis is the 
count. X-axis is 
fluorescence 
intensity.
Visualizing Flow Cytometry Data 
Flow cytometry data: Iterative, Derivative, Visual, as well as Statistically Powerful.
Gating 
Gate on your Cells of Interest, 
The Population Hierarchy is your Friend.
Gating 
Gate on your Cells of Interest, 
Where are your Dead Cells?
Fluorescence Minus One (FMO) 
Unstained and Isotype Controls vs. FMO 
PE FMO 
Absence and Presence of CD4 PE 
Improper Compensation 
From FlowJo website/Mario Roederer
Doublets 
Doublet 
Discrimination: 
Two cells passing 
through the laser 
intercept 
concurrently. 
Doublet 
Discrimination: 
Doublets have 
double the area and 
width values of 
single cells.
Doublet Discrimination – Cell Cycle 
Voltage Intensity 
G0 
G0 
G0 
G2/M 
2N Height 2N + 2N Height 
4N Height 
2N Width 2N + 2N Width 
Stained nuclei 
separated by 
cytoplasm 
4N Width 
Time
Doublet Discrimination – Cell Cycle 
Blue cells are the 
G0/G1 doublets. 
They have double 
the area and width 
values of single 
cells but lower 
height values than 
the G2/M cells.
Doublet Discrimination – Whole 
Cells 
A Good Tool for Gating: 
Doublets have Double the Width Value while maintaining Same Height Value. 
Blue Cells are singlets, 
Red Cells are doublets.
Compensation 
Compensation/Spectral Overlap 
Most fluorochromes and dyes excited by laser light have long 
emission curves. 
Flow cytometers have filter sets optimized for specific 
wavelengths of light. 
Unfortunately, overlapping emission wavelengths from one 
fluorochrome may spillover into the filter of another.
Compensation 
Visualizing Spectral Overlap
Compensation 
Compensation Controls 
 Compensation is very important. If one fluorochrome leaks into another’s 
channel, your data cannot be interpreted properly. 
 Each experiment needs an unstained control and each fluorochrome 
singularly. 
As long as your run the proper controls, we can determine the correct 
compensation values post acquisition. 
 Beads can be substituted for cells if cell number is a limiting factor. 
Spherotech, Invitrogen and Becton Dickinson offer anti-Ig beads that will 
bind fluorescently-labeled antibodies.
Compensation 
The FITC signal is leaking into the PE detector. 
We can adjust the PE-%FITC spectral 
overlap value until the unstained and FITC have 
the same mean value for PE. 
From BD LSR II manual
Compensation 
This figure is the Diva Compensation layout for a 
seven color experiment. 
FACS DIVA has a module designed for 
computing compensation. 
Module requires an unstained control and 
each color individually. 
Choose colors, then gate on the cells by FSC vs. 
SSC, and follow the layout.
Compensation (Pattern Recognition) 
Uncompensated Data 
Compensated Data
Compensation 
Statistics for a Four Color Experiment 
Mean Fluorescence Intensity Values
Compensation 
Uncompensated Data 
Voltages 
PE = 538 
PerCP = 791 
APC = 690 
Compensated Data 
Comp Matrix 
PerCP -%PE = 22.01 
APC - %PE = 0.09 
APC - %PerCP = 4.54 
PerCP - %APC = 1.04
Compensation 
Uncompensated Data 
Voltages 
PE = 650 
PerCP = 825 
APC = 725 
Compensated Data 
Comp Matrix 
PerCP -%PE = 7.06 
APC - %PE = 0.04 
APC - %PerCP = 4.67 
PerCP - %APC = 0.96
FlowJo Compensation 
FlowJo is a third party 
analysis software from 
Treestar, Inc. 
FlowJo has a built in 
Compensation 
Matrix/Wizard that is 
powerful and intuitive. 
Need single color and 
unstained controls.
FlowJo Compensation
FlowJo Compensation
Compensation 
Annexin-FITC and Propidium iodide (PI) need to be compensated. This 
can be difficult depending on where the cells are in the stages of apoptosis. 
We recommend Annexin-APC and PI, less spectral overlap.
Flow Cytometry Statistics 
For Histograms: 
y-axis = Number of cells/channel 
x-axis = Fluorescence intensity of 
designated parameter 
For Dot Plots: 
y-axis and x-axis = Fluorescence 
intensity of designated parameters 
Flow Cytometry is a qualitative assay, flow results depict the characteristics of 
your sample. Samples are measured in a dimensionless unit termed 
Fluorescence Intensity.
Flow Cytometry Statistics (Diva) 
• Number of events - total number of events in 
the defined population. 
• Parent - name of the next population up in the 
hierarchy. 
• %Parent - number of events in the defined 
population divided by the number of events in 
the parent gate (next population up in the 
hierarchy), expressed as a percentage. 
• %Grandparent - number of events in the 
defined population divided by the number of 
events in the grandparent gate (two populations 
up in the hierarchy), expressed as a percentage. 
• %Total - number of events in the defined 
population divided by the total number of events 
in the tube (all events), expressed as a 
percentage.
Flow Cytometry Statistics (Diva) 
Mean - Average linear value for events in the defined population, defined as: 
where n = number of events in the population, and Xi is a 
value for a particular parameter, where i = 1 to n. 
Geometric mean - Logarithmic average of the events in the defined 
population. This mean is less sensitive to outliers than the regular mean. The 
geometric mean is defined as: 
where n = number of events in the population, and Xi is a 
value for a particular parameter, where i = 1 to n.
Flow Cytometry Statistics (Diva) 
Two measures are generally made of a distribution: intensity and spread. 
In flow cytometry, the intensity of a distribution can be represented by the 
position of the “center” of the distribution. The “center” is usually represented 
mathematically by the mean, median or peak channel number. 
If the data has been displayed on a linear scale, the arithmetic mean is used; 
for logarithmically displayed data, the geometric mean is generally chosen. 
If any part of the distribution lies off scale at either end of the axis, the value for 
the mean channel number will be inaccurate and should not be used; the 
median channel can be used as long as more than half of the distribution in on 
scale. 
Flow Cytometry - A Basic Introduction 
Michael G Ormerod
Flow Cytometry Statistics (Diva) 
The peak channel number is an inaccurate measure of the center of a 
distribution and is not recommended. 
For a Guassian (normal) distribution, these three values should be equal. 
The spread of a distribution is usually expressed as 
the Standard Deviation (SD). However, in flow cytometry, the coefficient of 
variation (CV) is preferred because it is dimensionless and, on a linear scale, 
does not depend on where in the histogram the data is recorded.(CV = 
SD/mean channel number). 
Flow Cytometry - A Basic Introduction 
Michael G Ormerod
Immunophenotyping 
Cell Staining Overview 
 Stain 105-106 cells/tube 
 Tubes vs. Plates 
 Stain cells in small 
volumes. 
 Titer antibodies. 
 Block Fc with species 
specific antibodies. 
 Direct vs. Indirect staining 
 Fixation
Immunophenotyping-Antibody 
Dilution 
Most antibody manufacturers advise a dilution to start with. 
We advise performing a dilution curve. 
Figure from Flow Cytometry - A Basic Introduction 
by Michael G. Ormerod
Immunophenotyping-Dilution 
Protocol 
43.3%, Mean = 6982 
37.3%, Mean = 4923 
36.6%, Mean = 4958 
32.4%, Mean = 3784 
32.4%, Mean = 3886 
2.14%, Mean = 1042 
1.4%, Mean = 886 
32.4%, Mean = 3886 
2.14%, Mean = 1042 
1.4%, Mean = 886
Immunophenotyping 
Gate on physical 
properties of 
cells. 
Then, gate on the 
live cells. 7AAD 
negative cells. 
Then, gate on 
CD3+, CD56- 
T-cells. 
Then, gate on 
CD4+ vs. CD8+.
Immunophenotyping 
Multi-color experiments – Overcome the Complexity
Setting up an Experiment 
From Lora Barsky, USC Flow Core
Immunophenotyping 
Multi-color experiments – Overcome the Complexity 
http://www.fluorish.com/ http://www.biolegend.com/panelselector 
http://www.ebioscience.com/resources/fluorplan-spectra- 
viewer.htm 
http://www.beckmancoulter.com/wsrportal/wsr/re 
search-and-discovery/products-and-services/ 
flow-cytometry/research-tools/ 
index.htm 
http://www.bdbiosciences.com/ecat/paneldesign 
er.jsp 
http://www.chromocyte.com/calculate 
http://www.invitrogen.com/site/us/en/home/supp 
ort/Research-Tools/Fluorescence- 
SpectraViewer.html
Cell Cycle 
 Figure from Purdue University Cytometry laboratories. 
G1 
M 
G2 
M (Mitosis) 
Dividing the replicated chromosomes. 
S G0 
G1 (Gap1) Quiescent cells 
interval between mitosis and 
initiation of DNA replication, 
RNA polymerases have access to the genome, 
much protein synthesis. 
G2 (Gap2) 
interval between DNA 
replication and mitosis 
S 
interval of time in 
which the DNA is replicated
Cell Cycle 
From Becton Dickinson
Cell Cycle 
 DAPI – Excitation maximum = 358 nm, 
Emission maximum = 461 nm 
 DAPI is bound to dsDNA in AT clusters in 
the minor groove. 
 Because DAPI is excited by the violet 
laser and emits in the blue wavelengths, it 
is an excellent counter-stain for yellow, 
green and red fluorochromes.
Cell Cycle 
 Propidium Iodide – Excitation maximum = 
493 nm, Emission maximum = 632 nm 
 PI is bound to DNA by intercalating between 
bases with no preference for purine or 
pyrimidine base pairs. PI will also bind to 
RNA. 
 One PI molecule per 4-5 base pairs. 
 PI cannot pass through intact cell 
membranes, cells need to be dying or 
permeabilized to allow PI staining.
Cell Cycle 
Doublet Discrimination is very important with this technique!!!
Apoptosis 
 Programmed Cell Death 
 Characterized by DNA fragmentation and distinct changes in cell 
morphology and volume. 
 Requires biochemical energy. 
 Important – For the normal functioning of the immune system, 
embryonic development, normal tissue maintenance and 
chemical- and hormone-induced cell death. 
 ‘Programmed’-the genetically determined eradication of cells. 
 Part of normal cell development, aging, and as a security 
mechanism. 
 Necessary and Pathological.
Apoptosis vs. Necrosis 
 Necrosis 
 Toxicity-induced cell death. 
 Requires no energy, passive. 
 Cells swell and then karyolysis (dissolution of the chromatin and 
nucleus - DNase). 
 Release of cellular contents may cause inflammation. 
 Apoptosis 
 ‘Stimulation’-induced cell death. 
 Energy required. 
 Cell shrinkage, then pyknosis (chromatin condenses), followed by 
karyorrhexis (fragmentation of the nucleus). 
 Do not release cellular contents and are readily phagocytosed by 
macrophages.
Apoptosis 
 Apoptotic Effects - Cell Morphology 
 Cells change shape and shrink during apoptosis. 
 The chromatin condenses in a process called Pyknosis. 
 The cells become smaller and the cytoplasm shrinks around the 
organelles. 
Figure from the Cell 
Migration Lab, University 
of Reading 
http://www.reading.ac.uk/c 
ellmigration/apoptosis.htm
TUNEL Assay 
 TUNEL (Terminal dUTP Nick-End Labeling) 
 During Apoptosis, Genomic DNA is cleaved into small double-stranded 
fragments and single-stranded breaks called ‘nicks’. 
 Terminal deoxynucleotidyl transferase (TdT) labels DNA strand 
breaks by catalyzing the polymerization of labeled nucleotides to 
free 3’-OH DNA ends. 
 The 3′-OH ends of the breaks can be detected by attaching a 
fluorochrome. This is generally done directly or indirectly (biotin) 
using fluorochrome-labeled deoxynucleotides in a reaction 
catalyzed preferably by TdT. 
 Best results are achieved using a positive control (fixed, 
permeabilized cells treated with Dnase) and a negative control (no 
FITC labeling reagent). 
 We have had good luck with the Roche kit (cat # 11 684 795 910).
TUNEL Assay 
Gated on Sperm Negative Control 
Tunel FITC, No PI Positive Control 
No Tunel, PI Only Positive Control Tunel FITC and PI Positive Control Tunel FITC and PI Test
Annexin V Assay 
 Timeline 
 1990 Andree at al. found that a protein, Vascular Anticoagulant , 
bound to phospholipid bilayers in a calcium dependent manner. 
Protein was renamed Annexin V. 
 1992 Fadok et al. discovered that macrophages specifically 
recognize phospatidylserine (PS) that is exposed on the surface of 
lymphocytes during the development of apoptosis. This PS is 
normally on the inner leaflet of the membrane. 
 1994 Koopman et al. developed a flow cytometric assay for 
measuring FITC conjugated Annexin V binding to apoptotic cells. 
Stained control and serum starved cells with ethidium bromide and 
Annexin V-FITC.
Annexin V Assay 
= Phosphatidylserine 
Normal Cell Membrane 
No PS on surface. 
Apoptotic Cell Membrane 
PS on surface. 
Apoptotic/Necrotic Cell 
Membrane PS on surface, 
membrane disintegrates.
Annexin V + PI Apoptosis Assay 
Annexin V binds to Phosphatidylserine on the Cell Membrane, PI to DNA
Cell Sorting
Flow Cytometry Assays 
Immunophenotyping 
DNA cell cycle/tumor ploidy 
Cell tracking and proliferation 
Cell Viability, Apoptosis, Necrosis 
Fluorescent Protein expression 
Cell Sorting 
Cell Counting and Antigen quantification 
Membrane and mitochondrial membrane potential 
Intracellular protein staining 
pH changes - BCECF 
Redox state - NADH 
Chromatin structure – Acridine Orange or 7-AAD 
Total protein – Low MW dyes that bind to charged groups on proteins 
Lipids – Nile Red 
Surface charge – Fluoresceinated polycations 
Membrane fusion/runover – MC540 
Enzyme activity – Caspase, lysosomal, kinases etc 
Sulfhydryl groups/glutathione – Oxidative metabolism, Fluorescien-5- 
maleimide 
DNA synthesis – Mitotic index 
DNA degradation – apoptosis-associated DNA degradation 
Gene expression 
RNA Content – Pyronin Y 
Cell Activation

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Kumc introduction to flow cytometry

  • 1. Introduction to Flow Cytometry Rich Hastings KUMC Flow Cytometry Core Lab 3901 Rainbow Boulevard Kansas City, KS 66160 913-588-0627 rhastings@kumc.edu http://www.kumc.edu/flow/
  • 2. Flow Cytometry Flow (noun) = the motion characteristics of fluids. Cytometry (noun) = is a general name for a group of biological methods used to measure various parameters of cells. Parameters which can be measured by cytometric methods are cell size, the stage of the cell cycle, the DNA content of the cell, the existence or absence of specific proteins on the cell surface or in the cytoplasm, to name but a few. (Wikipedia)
  • 3. Flow Cytometry All forms of Cytometry depend on the basic laws of physics, including those of fluidics, optics, and electronics. Watson, J. V. Cytometry, 38 2-14, 1999.
  • 4. Flow Cytometry Flow cytometry is a system for sensing individual cells in a physiologic saline solution as they move in a focused liquid stream through a fixed laser beam scattering light and emitting fluorescence that is measured and converted into digitized data.
  • 5. The History of Flow Cytometry 1930’s Moldavan in Science described the counting of blood cells filing through a capillary tube using a photoelectric sensor. 1940’s US Army constructed a device that detected bacteria in a stream of air, using a Ford headlight as a light source and a photomultiplier tube as a detector. 60% ~ 0.6 μm 1950’s Caspersson measured nucleic acid and protein metabolism for normal and abnormal cell growth using a Cadmium spark as a UV light source. Coulter constructed a cell counter based on the fact that the electrical conductivity of cells is lower than that of saline. Saline conducts, cells impede. 1960’s Kamentsky at IBM developed the Rapid Cell Spectrophotometer. It used an arc lamp source and measured nucleic acid content and cell size. A computer (!!!!) measured and analyzed the data. IBM loaned Herzenberg a prototype and he developed the first real FACS. 1970’s Industry takes over technical development: BD, Beckman, Ortho etc.
  • 6. The History of Flow Cytometry Frequency distribution of DNA content Cells from a normal cervix Cells from a cervical carcinoma Premalignant cells from the epithelium Quantitative cytochemical studies on normal, malignant, premalignant and atypical cell populations from the human uterine cervix, Acta Cytologica 8, 1964 O. Caspersson 1964 Images from Dr. Louis Kamentsky
  • 7. The History of Flow Cytometry The Coulter Counter: Counts cells and measures their size based. Patent The first commercial version of the Coulter Counter
  • 8. The History of Flow Cytometry LA Kamentsky, MR Melamed & H. Derman, Spectrophotometer: New instrument for ultrarapid cell analysis, Science 150, 1965
  • 9. The History of Flow Cytometry Herzenberg Lab at Stanford, Early sorters and analyzers.
  • 10. The History of Flow Cytometry Flow cytometry has benefited from the technological development of: Monoclonal antibodies Fluorochromes DNA, RNA and Functional stains Computers and the miniaturization of Electronics Lasers
  • 11. How Flow Cytometers Work The principal of hydrodynamic focusing confines cells to the core (sample) stream by a cell-free sheath fluid. Injector Tip Sheath fluid (PBS) Laser interrogates Stream Objective is to have one cell pass through the laser intercept at a time. What makes flow cytometry so powerful is the ability to gather data on each cell individually but having the capability to analyze 1000’s of cells/sec.
  • 12. How Flow Cytometers Work Sheath pressure is constant. Sample pressure is variable. Aria LSR II Flow is laminar. Flow cell shape allows for hydrodynamic focusing. Hydrodynamic focusing causes cells to line up along their long axes.
  • 13. How Flow Cytometers Work Higher Flow Rate = Good for Qualitative Measurements Lower Flow Rate = Greater Resolution and Quantitative Measurements From BD LSR II manual
  • 14. How Flow Cytometers Work Laser is an acronym for Light Amplification by Stimulated Emission of Radiation 1. Lasers provide light of a specific wavelength. Most lasers used in flow cytometry operate in the visible spectrum. 2. An important aspect of laser light is coherence. Coherent light has the same wavelength, phase and direction. 3. Modern lasers generate light that is reliable and constant.
  • 15. How Flow Cytometers Work Electromagnetic Spectrum Violet Laser Blue Laser Red Laser From: http://www.antonine-education.co.uk
  • 16. How Flow Cytometers Work Laser interrogation of a cell tells us physical properties of that cell. Laser interrogates Cell in Flow Cell Incident light scattered at small angles (0.5- 2.0º) is called Forward Scatter (FSC) Incident light scattered at an angle of 90º is called Side Scatter (SSC)
  • 17. How Flow Cytometers Work Forward Scatter (FSC) Rough measure of size, influenced by the wavelength of light, and the angle, lenses and apertures that light is collected at and with. Different flow cytometers will give slightly different FSC measurements. Most flow cytometers measure FSC with a photodiode. Bacteria – Photomultiplier tube (PMT) Dead cells may have lower FSC measurements than live cells. Osmotic swelling can increase cell volume, and decrease light scatter. FACSCalibur Epics XL Data: Shapiro and Becker
  • 18. How Flow Cytometers Work Forward Scatter (FSC) “A big problem in the published literature is the use of forward scatter as a trigger/discriminator. Whilst fairly robust for leukocyte detection it is the most variable signal between systems and it is most alignment critical. It is affected by refractive index mismatches between sheath and sample, beam geometry, polarization, beam stop position, and collection angle. In some cases the relative forward scatter position of particles of different sizes does not follow their relative order in physical size. In jet-in-air sorters the beam geometry and the jet undulation at the intercept are critical factors whereas in cuvette-based instruments these tend to be dirt on the optical surfaces and slight rotation of the flow cell to the beam axis.” Gerhard Nebe-von-Caron Cytometry Part A 75A: 8689, 2009
  • 19. How Flow Cytometers Work Side Scatter (SSC) is the measure of light scattered at an angle of 90º (orthogonal). SSC is a measure of the complexity of the cell’s internal structures. The more ‘granular’ a cell is the higher its SSC will be. A neutrophil is much more granular than a lymphocyte. Measured using a photomultiplier tube.
  • 20. How Flow Cytometers Work FSC vs. SSC alone tells us a great deal about our cells. Lymphocyte Eosinophil Basophil Neutrophil Monocyte
  • 21. How Flow Cytometers Work Pulse Processing From BD LSRII Manual Laser
  • 22. How Flow Cytometers Work Parameters Measured Height is the maximum digitized intensity measured for the pulse. Area is the sum of all pulse heights. Width is Area ÷ Height x 64,000. From BD LSRII Manual
  • 23. How Flow Cytometers Work Flow cytometry takes advantage of molecules fluorescing after excitation by laser light. Fluorochromes can be conjugated to monoclonal antibodies. Many functional stains exist that fluoresce. Energy acquired by the absorbance of light of certain wavelengths in these molecules drive electrons to a higher energy state in an unoccupied orbital. The return of the electron to ground state results in the emission of photons of longer wavelength (lower energy).
  • 24. How Flow Cytometers Work Fluorochromes absorb energy (light) and their electrons go from a ground state to an excited state. The electrons return to ground state by emitting light of lower energy, therefore longer wavelength. Figures from Flow Cytometry - A Basic Introduction by Michael G. Ormerod
  • 25. How Flow Cytometers Work Tandem Dyes – One molecule is excited by laser light and donates the energy to the acceptor molecule. Figure from Jane Limer BD Application Scientist
  • 26. How Flow Cytometers Work Fluorochromes Synthetic, Organic Dyes: FITC, the Dylights (Thermo Fisher Scientific), Cy dyes, Alexa Fluors (Molecular Probes), Horizon dyes (Becton Dickinson), eFluor dyes (eBioscience), Pacific Blue, Krome Orange (Beckman Coulter), Brilliant Violet (Biolegend) Proteins: R-phycoerythrin (PE) is a photosynthetic pigment found in red algae. It is a 240 kDa protein with 23 phycoerythrobilin chromophores per molecule. Very bright, and excellent as the donator molecule in a tandem fluorophore. Allophycocyanin (APC) is a photosynthetic pigment found in bluegreen algae. APC is 105 kDa and has six phycocyanobilin chromophores per molecule. Very bright, and excellent as the donator molecule in a tandem fluorophore. Green Fluorescent Protein is “genetically encoded fluorescence” encoded by a single gene. A whole family of fluorescent proteins has originated from GFP.
  • 27. How Flow Cytometers Work The photons emitted by excited fluorophores are routed to Photo- Multiplier Tubes (PMT). 1. Voltage is applied to the PMT making electrons present for the absorption of light energy from photons. 2. As more photons are detected, more electrons are recruited yielding a greater current on the detector. 3. IMPORTANT! If the PMT voltage is increased the same number of absorbed photons will have a greater current output, increasing the sensitivity of the PMT.
  • 28. How Flow Cytometers Work The fluorescence intensity measured is proportional to the number of fluorescent molecules bound to the cell. From Applied Cytometry
  • 29. How Flow Cytometers Work The Stokes Shift is the difference between the emission and excitation wavelength.
  • 30. How Flow Cytometers Work Flow cytometers are engineered with precise light pathways. Light is routed through three different types of Filters. From BD LSR II manual
  • 31. How Flow Cytometers Work Flow cytometers are engineered with precise light pathways. Cell Forward light scatter 0º A measure of cell size. 488 nm Side scatter 90º A measure of cell granularity.
  • 32. How Flow Cytometers Work Flow cytometers are engineered with precise light pathways. 488 nm Light path in the LSRII
  • 33. How Flow Cytometers Work 405 nm Violet Laser Bandpass Filter Fluorochromes 440/40 nm DAPI, Horizon V450, Alexa 405, Pacific Blue, Brilliant Violet 421 525/50 nm Pacific Orange, Cascade Yellow, Horizon V500, Brilliant Violet 570
  • 34. How Flow Cytometers Work 488 nm Blue Laser Bandpass Filter Fluorochromes 780/60 nm PE-Cy7 695/40 nm PE/Cy5, PE/Cy5.5, PerCP, PerCP-Cy5.5 610/20 nm PI, PE-Texas Red 575/26 nm PE, Cy3 530/30 nm GFP, FITC, Alexa Fluor 488, CFSE
  • 35. How Flow Cytometers Work 633 nm Red Laser Bandpass Filter Fluorochromes 780/60 nm APC/Cy7 710/50 nm Alexa Fluor 700 660/20 nm APC, Cy5, Alexa Fluor 647
  • 36. Visualizing Flow Cytometry Data Dot plot: One parameter vs. another. Contour plot: One parameter vs. another showing the probability contouring. Density plot: One parameter vs. another, very good for viewing the frequency of subpopulations. Histogram plot: One parameter only. Y-axis is the count. X-axis is fluorescence intensity.
  • 37. Visualizing Flow Cytometry Data Flow cytometry data: Iterative, Derivative, Visual, as well as Statistically Powerful.
  • 38. Gating Gate on your Cells of Interest, The Population Hierarchy is your Friend.
  • 39. Gating Gate on your Cells of Interest, Where are your Dead Cells?
  • 40. Fluorescence Minus One (FMO) Unstained and Isotype Controls vs. FMO PE FMO Absence and Presence of CD4 PE Improper Compensation From FlowJo website/Mario Roederer
  • 41. Doublets Doublet Discrimination: Two cells passing through the laser intercept concurrently. Doublet Discrimination: Doublets have double the area and width values of single cells.
  • 42. Doublet Discrimination – Cell Cycle Voltage Intensity G0 G0 G0 G2/M 2N Height 2N + 2N Height 4N Height 2N Width 2N + 2N Width Stained nuclei separated by cytoplasm 4N Width Time
  • 43. Doublet Discrimination – Cell Cycle Blue cells are the G0/G1 doublets. They have double the area and width values of single cells but lower height values than the G2/M cells.
  • 44. Doublet Discrimination – Whole Cells A Good Tool for Gating: Doublets have Double the Width Value while maintaining Same Height Value. Blue Cells are singlets, Red Cells are doublets.
  • 45. Compensation Compensation/Spectral Overlap Most fluorochromes and dyes excited by laser light have long emission curves. Flow cytometers have filter sets optimized for specific wavelengths of light. Unfortunately, overlapping emission wavelengths from one fluorochrome may spillover into the filter of another.
  • 47. Compensation Compensation Controls  Compensation is very important. If one fluorochrome leaks into another’s channel, your data cannot be interpreted properly.  Each experiment needs an unstained control and each fluorochrome singularly. As long as your run the proper controls, we can determine the correct compensation values post acquisition.  Beads can be substituted for cells if cell number is a limiting factor. Spherotech, Invitrogen and Becton Dickinson offer anti-Ig beads that will bind fluorescently-labeled antibodies.
  • 48. Compensation The FITC signal is leaking into the PE detector. We can adjust the PE-%FITC spectral overlap value until the unstained and FITC have the same mean value for PE. From BD LSR II manual
  • 49. Compensation This figure is the Diva Compensation layout for a seven color experiment. FACS DIVA has a module designed for computing compensation. Module requires an unstained control and each color individually. Choose colors, then gate on the cells by FSC vs. SSC, and follow the layout.
  • 50. Compensation (Pattern Recognition) Uncompensated Data Compensated Data
  • 51. Compensation Statistics for a Four Color Experiment Mean Fluorescence Intensity Values
  • 52. Compensation Uncompensated Data Voltages PE = 538 PerCP = 791 APC = 690 Compensated Data Comp Matrix PerCP -%PE = 22.01 APC - %PE = 0.09 APC - %PerCP = 4.54 PerCP - %APC = 1.04
  • 53. Compensation Uncompensated Data Voltages PE = 650 PerCP = 825 APC = 725 Compensated Data Comp Matrix PerCP -%PE = 7.06 APC - %PE = 0.04 APC - %PerCP = 4.67 PerCP - %APC = 0.96
  • 54. FlowJo Compensation FlowJo is a third party analysis software from Treestar, Inc. FlowJo has a built in Compensation Matrix/Wizard that is powerful and intuitive. Need single color and unstained controls.
  • 57. Compensation Annexin-FITC and Propidium iodide (PI) need to be compensated. This can be difficult depending on where the cells are in the stages of apoptosis. We recommend Annexin-APC and PI, less spectral overlap.
  • 58. Flow Cytometry Statistics For Histograms: y-axis = Number of cells/channel x-axis = Fluorescence intensity of designated parameter For Dot Plots: y-axis and x-axis = Fluorescence intensity of designated parameters Flow Cytometry is a qualitative assay, flow results depict the characteristics of your sample. Samples are measured in a dimensionless unit termed Fluorescence Intensity.
  • 59. Flow Cytometry Statistics (Diva) • Number of events - total number of events in the defined population. • Parent - name of the next population up in the hierarchy. • %Parent - number of events in the defined population divided by the number of events in the parent gate (next population up in the hierarchy), expressed as a percentage. • %Grandparent - number of events in the defined population divided by the number of events in the grandparent gate (two populations up in the hierarchy), expressed as a percentage. • %Total - number of events in the defined population divided by the total number of events in the tube (all events), expressed as a percentage.
  • 60. Flow Cytometry Statistics (Diva) Mean - Average linear value for events in the defined population, defined as: where n = number of events in the population, and Xi is a value for a particular parameter, where i = 1 to n. Geometric mean - Logarithmic average of the events in the defined population. This mean is less sensitive to outliers than the regular mean. The geometric mean is defined as: where n = number of events in the population, and Xi is a value for a particular parameter, where i = 1 to n.
  • 61. Flow Cytometry Statistics (Diva) Two measures are generally made of a distribution: intensity and spread. In flow cytometry, the intensity of a distribution can be represented by the position of the “center” of the distribution. The “center” is usually represented mathematically by the mean, median or peak channel number. If the data has been displayed on a linear scale, the arithmetic mean is used; for logarithmically displayed data, the geometric mean is generally chosen. If any part of the distribution lies off scale at either end of the axis, the value for the mean channel number will be inaccurate and should not be used; the median channel can be used as long as more than half of the distribution in on scale. Flow Cytometry - A Basic Introduction Michael G Ormerod
  • 62. Flow Cytometry Statistics (Diva) The peak channel number is an inaccurate measure of the center of a distribution and is not recommended. For a Guassian (normal) distribution, these three values should be equal. The spread of a distribution is usually expressed as the Standard Deviation (SD). However, in flow cytometry, the coefficient of variation (CV) is preferred because it is dimensionless and, on a linear scale, does not depend on where in the histogram the data is recorded.(CV = SD/mean channel number). Flow Cytometry - A Basic Introduction Michael G Ormerod
  • 63. Immunophenotyping Cell Staining Overview  Stain 105-106 cells/tube  Tubes vs. Plates  Stain cells in small volumes.  Titer antibodies.  Block Fc with species specific antibodies.  Direct vs. Indirect staining  Fixation
  • 64. Immunophenotyping-Antibody Dilution Most antibody manufacturers advise a dilution to start with. We advise performing a dilution curve. Figure from Flow Cytometry - A Basic Introduction by Michael G. Ormerod
  • 65. Immunophenotyping-Dilution Protocol 43.3%, Mean = 6982 37.3%, Mean = 4923 36.6%, Mean = 4958 32.4%, Mean = 3784 32.4%, Mean = 3886 2.14%, Mean = 1042 1.4%, Mean = 886 32.4%, Mean = 3886 2.14%, Mean = 1042 1.4%, Mean = 886
  • 66. Immunophenotyping Gate on physical properties of cells. Then, gate on the live cells. 7AAD negative cells. Then, gate on CD3+, CD56- T-cells. Then, gate on CD4+ vs. CD8+.
  • 67. Immunophenotyping Multi-color experiments – Overcome the Complexity
  • 68. Setting up an Experiment From Lora Barsky, USC Flow Core
  • 69. Immunophenotyping Multi-color experiments – Overcome the Complexity http://www.fluorish.com/ http://www.biolegend.com/panelselector http://www.ebioscience.com/resources/fluorplan-spectra- viewer.htm http://www.beckmancoulter.com/wsrportal/wsr/re search-and-discovery/products-and-services/ flow-cytometry/research-tools/ index.htm http://www.bdbiosciences.com/ecat/paneldesign er.jsp http://www.chromocyte.com/calculate http://www.invitrogen.com/site/us/en/home/supp ort/Research-Tools/Fluorescence- SpectraViewer.html
  • 70. Cell Cycle  Figure from Purdue University Cytometry laboratories. G1 M G2 M (Mitosis) Dividing the replicated chromosomes. S G0 G1 (Gap1) Quiescent cells interval between mitosis and initiation of DNA replication, RNA polymerases have access to the genome, much protein synthesis. G2 (Gap2) interval between DNA replication and mitosis S interval of time in which the DNA is replicated
  • 71. Cell Cycle From Becton Dickinson
  • 72. Cell Cycle  DAPI – Excitation maximum = 358 nm, Emission maximum = 461 nm  DAPI is bound to dsDNA in AT clusters in the minor groove.  Because DAPI is excited by the violet laser and emits in the blue wavelengths, it is an excellent counter-stain for yellow, green and red fluorochromes.
  • 73. Cell Cycle  Propidium Iodide – Excitation maximum = 493 nm, Emission maximum = 632 nm  PI is bound to DNA by intercalating between bases with no preference for purine or pyrimidine base pairs. PI will also bind to RNA.  One PI molecule per 4-5 base pairs.  PI cannot pass through intact cell membranes, cells need to be dying or permeabilized to allow PI staining.
  • 74. Cell Cycle Doublet Discrimination is very important with this technique!!!
  • 75. Apoptosis  Programmed Cell Death  Characterized by DNA fragmentation and distinct changes in cell morphology and volume.  Requires biochemical energy.  Important – For the normal functioning of the immune system, embryonic development, normal tissue maintenance and chemical- and hormone-induced cell death.  ‘Programmed’-the genetically determined eradication of cells.  Part of normal cell development, aging, and as a security mechanism.  Necessary and Pathological.
  • 76. Apoptosis vs. Necrosis  Necrosis  Toxicity-induced cell death.  Requires no energy, passive.  Cells swell and then karyolysis (dissolution of the chromatin and nucleus - DNase).  Release of cellular contents may cause inflammation.  Apoptosis  ‘Stimulation’-induced cell death.  Energy required.  Cell shrinkage, then pyknosis (chromatin condenses), followed by karyorrhexis (fragmentation of the nucleus).  Do not release cellular contents and are readily phagocytosed by macrophages.
  • 77. Apoptosis  Apoptotic Effects - Cell Morphology  Cells change shape and shrink during apoptosis.  The chromatin condenses in a process called Pyknosis.  The cells become smaller and the cytoplasm shrinks around the organelles. Figure from the Cell Migration Lab, University of Reading http://www.reading.ac.uk/c ellmigration/apoptosis.htm
  • 78. TUNEL Assay  TUNEL (Terminal dUTP Nick-End Labeling)  During Apoptosis, Genomic DNA is cleaved into small double-stranded fragments and single-stranded breaks called ‘nicks’.  Terminal deoxynucleotidyl transferase (TdT) labels DNA strand breaks by catalyzing the polymerization of labeled nucleotides to free 3’-OH DNA ends.  The 3′-OH ends of the breaks can be detected by attaching a fluorochrome. This is generally done directly or indirectly (biotin) using fluorochrome-labeled deoxynucleotides in a reaction catalyzed preferably by TdT.  Best results are achieved using a positive control (fixed, permeabilized cells treated with Dnase) and a negative control (no FITC labeling reagent).  We have had good luck with the Roche kit (cat # 11 684 795 910).
  • 79. TUNEL Assay Gated on Sperm Negative Control Tunel FITC, No PI Positive Control No Tunel, PI Only Positive Control Tunel FITC and PI Positive Control Tunel FITC and PI Test
  • 80. Annexin V Assay  Timeline  1990 Andree at al. found that a protein, Vascular Anticoagulant , bound to phospholipid bilayers in a calcium dependent manner. Protein was renamed Annexin V.  1992 Fadok et al. discovered that macrophages specifically recognize phospatidylserine (PS) that is exposed on the surface of lymphocytes during the development of apoptosis. This PS is normally on the inner leaflet of the membrane.  1994 Koopman et al. developed a flow cytometric assay for measuring FITC conjugated Annexin V binding to apoptotic cells. Stained control and serum starved cells with ethidium bromide and Annexin V-FITC.
  • 81. Annexin V Assay = Phosphatidylserine Normal Cell Membrane No PS on surface. Apoptotic Cell Membrane PS on surface. Apoptotic/Necrotic Cell Membrane PS on surface, membrane disintegrates.
  • 82. Annexin V + PI Apoptosis Assay Annexin V binds to Phosphatidylserine on the Cell Membrane, PI to DNA
  • 84. Flow Cytometry Assays Immunophenotyping DNA cell cycle/tumor ploidy Cell tracking and proliferation Cell Viability, Apoptosis, Necrosis Fluorescent Protein expression Cell Sorting Cell Counting and Antigen quantification Membrane and mitochondrial membrane potential Intracellular protein staining pH changes - BCECF Redox state - NADH Chromatin structure – Acridine Orange or 7-AAD Total protein – Low MW dyes that bind to charged groups on proteins Lipids – Nile Red Surface charge – Fluoresceinated polycations Membrane fusion/runover – MC540 Enzyme activity – Caspase, lysosomal, kinases etc Sulfhydryl groups/glutathione – Oxidative metabolism, Fluorescien-5- maleimide DNA synthesis – Mitotic index DNA degradation – apoptosis-associated DNA degradation Gene expression RNA Content – Pyronin Y Cell Activation

Editor's Notes

  • #3: Definition of flow, cytometry
  • #4: There is no magic but photons, electrons and cells in streams move very fast.
  • #5: Definition
  • #6: Brief synopsis of flow history.
  • #7: Early DNA histograms.
  • #8: Wallace Coulter’s early patent, cells have more resistance, measure higher voltage.
  • #9: This instrument is the ancestor of today’s modern flow cytometers, it lacks the laser and modern electronics but the backbone of a modern cytometer is there.
  • #10: IBM analyzers and sorters were provided to the Herzenberg lab who refined the instruments and made the first FACS instruments, BD comes in.
  • #11: Every day there are more mAb, fluorochromes, and stains. Analog to digital converters have made digital instruments possible. Data is processed in real time on the newest instruments. Lasers specifically semi-conductor lasers have greatly improved. Smaller, more powerful.
  • #12: The difference in pressure between the sample stream and sheath fluid stream can be used to vary the diameter of the sample core. Increasing the sample pressure increases the core diameter and therefore the flow rate.
  • #13: Laminar flow is when fluids flow in parallel layers and do not disturb each other.
  • #14: High flow rate (60 ul/min) good for immunophenotyping Low flow rate (12 ul/min) good resolution better for DNA analysis
  • #15: Visible spectrum of electro-magnetic radiation is ~400-700 nm, there are UV and IR lasers.
  • #16: Most lasers used for flow cytometry emit light in the visible spectrum. UV lasers being the notable exception. IR lasers have been used but they are more dangerous to the human eye. The longer the wavelength the lower the energy and vice versa.
  • #17: Focusing lens in front of the FSC photodiode and SSC PMT.
  • #18: A photodiode is a type of photo-detector capable of converting light into either current or voltage, depending upon the mode of operation. Photodiodes are cheaper and have less sensitivity than PMTs. The figure to the right demonstrates the ability of two commercial flow cytometers to discern beads of different diameters. One lines them up perfectly, the other does not. Rough measurement of size.
  • #19: quoted
  • #20: We can gate out certain cell types using SSC, if you are good you may separate eosinophils from the remaining granulocytes.
  • #21: Lymphs are much smaller and less granular than monocytes and neutrophils. This is an iconic flow cytometry dot plot.
  • #22: As a cell travels through the laser beam the maximum value attained is when the middle of the cell crosses the middle of the beam.
  • #23: We can set the threshold to gate out noise and small debris. We like to use area but we use all parameters to make sure we are looking at single cells.
  • #25: Your excitation wavelength is always shorter than your emission wavelength. The figure to the right is a tandem dye, the first dye catches light of a specific wavelength and transfers the energy to the adjacent molecule. PE is a good example. PE absorbs at 480;565 nm and emits at 578 nm. The tandem dye PE-Cy7 is excited at 480;565 and emits at 767 nm.
  • #26: PE is excited at 488 nm, donates this energy to Cy-7 that emits the energy at 787 nm.
  • #27: Fluorescent dyes and proteins are important for labeling cells.
  • #28: Photoelectric effect (Einstein – Nobel prize, Hertz) Turning up the voltage on a PMT is critical when you expect your sample to be dimly positive.
  • #29: As more labeled-antibodies or dye molecules bind to the cell, the fluorescent intensity increases.
  • #30: Here we can see the difference between the excitation (dotted line) spectra and the emission curve for FITC. We also see the area of the spectrum that the bandpass filter covers.
  • #31: Long pass filters let light of a longer wavelength through, short pass shorter wavelengths, band pass second number is +/- N/2
  • #32: Follow the light different colored light, blue is scattered light, red is light generated by the PE-Cy5 label, and the green light was generated by the FITC excitation.
  • #33: Notice the long pass filters in front of the band pass filters. The set up is; light of the longest wavelength is measured first because generally speaking light of longer wavelength has less energy than shorter wavelength light. SSC is measuring the orthogonal light. Not excited light from fluorophores.
  • #34: Violet laser fluorchromes
  • #35: Representative fluorchromes for the blue laser.
  • #36: Representative fluorchromes for the red laser.
  • #37: Density and contour plots are available in Diva but there are more powerful options in FlowJo.
  • #38: Flow cytometry is a very powerful analytical tool because you get both the stats and can visualize your data. Data can be broken down parameter by parameter with daughter gates and quadrant analysis. Here we are looking at T cell blasts, stained with CD25 and CFSE. We identify the T cells by FSC vs. SSC, then look at CFSE vs. CD25 followed by using the Proliferation tool in FlowJo to break down the generations of blasts from when they were first stained with CFSE.
  • #39: We can gate and back gate on our cells. The gates are color coded.
  • #40: Dead cells stain brightly for propidium iodide. Propidium iodide passes through holes in the membranes of dying cells and stains DNA. The dead cells are clearly smaller.
  • #41: Fluorescence minus one controls are an excellent tool for properly gating populations. The absence of one color helps the user determine where the real positive cells are. FMOs are much more informative than isotype controls. Here, we see that we have improper compensation because we see signal in the PE detector when no PE is present.
  • #42: Data analyzed in FlowJo. Cell cycle data. We gated on the live cells, then we gated on cells based on DAPI area vs width. Doublets have double the area and width of single cells.
  • #43: Cell cycle data here, 2N nuclei, and 4N nuclei. Doublets have double the width and area values as compared to the 2N nuclei. 4N G2/M have larger height values than doublets.
  • #44: Gating out the doublets can be tricky. Best practice is to examine both Height vs. Area and Width vs Area.
  • #45: Notice that the red cells are bigger and have more side scatter. Similar height value, double the width and area for doublets.
  • #46: We correct this spillover mathematically using a process called compensation.
  • #47: The blue line is the 488 nm laser line, the dotted lines are the excitation curves for FITC and PE. As you can see FITC excitation curve (shaded green) leaks out of its filter and into the PE filter. PE also leaks into the FITC filter.
  • #48: W/o compensation your data is wrong. Labeled beads + unlabeled beads This technique allows the antibodies used in the experiment to be compensation controls while minimizing the number of cells required for controls.
  • #49: The compensation tab is in the in the Cytometer window. We can make the instrument do this on its own. We can substitute median for mean.
  • #50: We will help you the with compensation set up.
  • #51: Red cells in the upper dot plots are the FITC cells. Blue cells are PE, Purple cells are PE-Cy5, Yellow cells are APC. By looking at the dot plot, you can deduce that there is little bleed over from APC into PerCP and PerCP into PE. On the other hand, FITC leaks into PE and PE leaks into PerCP.
  • #52: Blue boxes are the PE positive and negative FITC mean values. Green boxes are the FITC positive and negative PE mean values.
  • #53: Parameter voltage effects compensation. All your samples must be run under the same voltage settings. Notice that there is compensation between APC, and PerCP and PE. PerCP and PE are excited by the 488 laser, APC is excited by the 633 laser. The lasers are spatially separated but light from each of the lasers contaminates the other laser’s fiber.
  • #54: Voltage was higher for this sample, compensation values change.
  • #55: Left dot plots are the uncompensated samples, right dot plots were compensated with FlowJo’s compensation matrix.
  • #56: FlowJo used these graphs to generate the compensation values.
  • #57: This is the FlowJo compensation matrix. Similar values to Diva.
  • #58: Need positive Annexin-FITC and PI controls for proper compensation, cells will change in size and shape and gating may be problematic.
  • #59: We can quanitate fluorescence with compounds of known intensities: When acquired along with sample controls, the standard curve of a known fluorescent intensity provides information about instrument-to-instrument non-equivalency: high backgrounds and inadequate sensitivities. By examining the unique background (B) and sensitivity (Q) values generated for any given parameter on a cytometer, Q and B calculations make it possible for a flow researcher to generate hard numbers describing staining in terms of MESF (Molecules of Equivalent Soluble Fluorophores).
  • #61: The geometric mean cannot be calculated for events with negative values. If you include the geometric mean for populations with negative values, the resulting statistics will be invalid (####).
  • #63: The geometric mean cannot be calculated for events with negative values. If you include the geometric mean for populations with negative values, the resulting statistics will be invalid (####).
  • #64: Cell number, washing is good, stain
  • #66: Diluting antibodies or other secondary reagents is not always clear cut. It is obvious in the shift to the right of the 1:20 dilution (purple) that there is too much background staining. 4 other dilutions are similar. Choose the best dilution that works for you scientifically and ‘economically’ and be consistent with it across your experiments.
  • #67: Immunology is the discipline that has driven much of the development in flow cytometry (hardware, software, and reagents).
  • #68: Setting up proper compensation or FMOs can be time-consuming, use tools that simplify this task.
  • #70: There are many tools on the web for setting up antibody panels, I really like Fluorish which is from the maker of FlowJo. Fluorish requires the CSV value from our instrument but lists most vendors antibody clones.
  • #71: Cell cycle is a cornerstone of flow cytometry. We can detect by flow where cells fall in the cell cycle. Often cancers can be diagnosed
  • #72: Here is another cartoon of cell cycle detailing the phases of mitosis.
  • #73: DAPI DNA binding dye. Only gets into permeabilized or dead cells.
  • #75: Cell cycle is a technique that is a cornerstone of flow cytometry. We permeabilize cells and stain them with propidium iodide or DAPI.
  • #76: Many different stimuli and conditions can induce apoptosis.
  • #77: Necrosis is a degradative process. Apoptosis is a controlled physiological process.
  • #78: Cell begins to shrink The Chromatin condenses The cell really shrinks Cells package themselves to be removed by macs and other cells.
  • #79: The labeling is template independent. The Roche kit is expensive ~ $500.
  • #80: The dot plots are of human sperm stained with a TUNEL FITC reagent and PI. First, we gate on the sperm, then gate on our unstained negative control. We use our TUNEL-FITC positive control (treated with DNase) for PI -%FITC compensation control. We then subtract out FITC - %PI compensation on the PI only control.
  • #81: Andree Fadok-During normal tissue remodeling, macrophages remove unwanted cells, including those that have undergone programmed cell death, or apoptosis. This widespread process extends to the deletion of thymocytes (negative selection), in which cells expressing inappropriate antigen receptors undergo apoptosis, and are phagocytosed by thymic macrophages.
  • #82: Cartoon of the apoptotic process. PS flips to cell surface, then the membrane begins to lose its integrity. Phospholipids of the cell membrane are asymmetrically distributed between the inner and outer leaflets of the membrane. Phosphatidylcholine and sphingomyelin are exposed on the external leaflet of the lipid bilayer, while phosphatidylserine is located on the inner surface. During apoptosis, this asymmetry is disrupted and phosphatidylserine becomes exposed on the outside surface of the plasma membrane. Because the anticoagulant protein annexin V binds with high affinity to phosphatidylserine, fluorochrome-conjugated annexin V has found an application as a marker of apoptotic cells, in particular for their detection by flow Cytometry.
  • #83: Live cells do not bind Annexin V, early apoptotic cells have PS on the surface which binds the Annexin V conjugated to a fluorochrome, late apoptotic cells begin to lose membrane integrity and allow PI (which is a cell impermeant dye) to pass through and stain DNA.
  • #84: We sorted a DN population. If the cell staining and prep are well done and the instrument is optimized, sorting is a joy.