Flow cytometry

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Page 1 © 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT BMS 631 - LECTURE 9 Flow Cytometry: Theory Hansen Hall, B050 Purdue University Office: 494 0757 Fax 494 0517 Email: [email protected] WEB http://www.cyto.purdue.edu Data Collection: Linear, log, ratios…. 3 rd Ed.Shapiro 163-171 J. Paul Robinson Professor of Immunopharmacology Professor of Biomedical Engineering Purdue University

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Flow cytometry

Transcript of Flow cytometry

Page 1: Flow cytometry

Page 1© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

BMS 631 - LECTURE 9Flow Cytometry: Theory

Hansen Hall, B050Purdue UniversityOffice: 494 0757Fax 494 0517Email: [email protected]

WEB http://www.cyto.purdue.edu

Data Collection: Linear, log, ratios….

3rd Ed.Shapiro 163-171

J. Paul RobinsonProfessor of ImmunopharmacologyProfessor of Biomedical EngineeringPurdue University

Page 2: Flow cytometry

Page 2© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Linear and Log circuits

• Linear circuits• Logarithmic circuits• Dynamic range• Fluorescence compensation

Page 3: Flow cytometry

Page 3© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Linear circuits• Output signal is proportion to the sum and/or difference of

their input signal• To collect any signal based on stoichiometric relationships

e.g. DNA staining you must have 10 bit resolution• The higher the accuracy desired the hire the number of bits

must be collected• Current instruments have 4 decade logarithmic scales thus

an ADC must provide at least accuracy to 1/10,000 of the full scale which equals 1 mV in a 0-10 V scale

• Thus to achieve this accuracy level you must have at least 14 bits of data (16,384 bits) since 13 bits would only be 8,192 bits

Page 4: Flow cytometry

Page 4© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Why use linear amps?• The problem with compensation is that it needs to be

performed on linear data, not logarithmic data. Thus, either the entire electronics must be built in linear electronics, which requires at least 16 bit A-D converters, or a supplementary system must be inserted between the preamp and the display.

• We need the dynamic range for immunologic type markers, but we can’t calculate the compensation easily using log amps - certainly not without complex math.

• Flow cytometers amplify signals to values ranging between 0-10V before performing a digital conversion.

• Assuming this, with 4 decades and a maximum signal of 10 V we have:

10 100 1000 10000

1 100mv 10mv 1mv

Factor reduction

pulse output

Page 5: Flow cytometry

Page 5© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

How many bits?

• Assume we convert linear analog signals using an 8 bit ADC - we have 256 channels of range (2n) (28-256) corresponding to the range 0-10 V

• Channels difference is 10/256=40mV per channel

0 50 100 150 200 250

10V1V

100mV

Channels

Page 6: Flow cytometry

Page 6© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Ideal log amp

0 50 100 150 200 250

10 V1 V100 mV

0 50 100 150 200 250

10 V1 mV

Channels

Linear

Log

1 V100 mV10 mVLog amp

Page 7: Flow cytometry

Page 7© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Where is the inaccuracy?

• Consider the 14 bit data (16,384 channels)• The smallest signal on a 0-10volt scale will be 610 uV per

channel • Thus a 1 channel change produces a value of 1220 uV or

100% possible error at the low end – since the bottom 10mV of this scale is represented by channels 1-16, the voltage at channel 16 is 9765 mV or at ch# 15 is 9765 uV or an error of about 6%

• This is an unacceptable high error at the low end so we must try to digitize at a higher bit rate say for example 16 bits (65, 536)

• Now the same range as above a 1mV signal will appear in ch# 7 and a 10 mV signal in Ch# 65 giving an error of 6% at the bottom end and only 2% at the top end

Page 8: Flow cytometry

Page 8© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Log amps & dynamic range

Compare the data plotted on a linear scale (above) and a 4 decade log scale (below). The date are identical, except for the scale of the x axis. Note the data compacted at the lower end of the the linear scale are expanded in the log scale.

Page 9: Flow cytometry

Page 9© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Log/lin display

Page 10: Flow cytometry

Page 10© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Ratio circuits• Ratio circuits are analog circuits which produce an output

proportional to the ratio of the 2 input signals.• They are usually made from modules called analog multipliers. • Examples are calculation of surface density or antigenic

receptor sites by dividing the number of bound molecules by the cell surface area.

• E.g. Could use 2/3 power of volume to obtain surface area - but few cytometers make this parameter so can use the square of the cell diameter of scatter instead to approximate.

• pH can also be measured using ratio circuits• Calcium ratio (using Indo-1) is also used (discussed in later

lecture)

Page 11: Flow cytometry

Page 11© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

4 colors - simultaneous collection

Emission wavelength (nm)530 580 630 680 730 780

FITC PE PE-TR

PE-CY5

Page 12: Flow cytometry

Page 12© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Digital Signal Processing (DSP)• DSP processors signal continuously at very high rates• e.g. Take a compact disc which samples at 44.1kHz • Two conversions are performed (one for each stereo

channel) of at least 16 bit resolution are performed every 22.7sec (44.1k/1 second)

• Thus for 16 bit data (2 bytes) at 2 samples per measurement we would have 2 x 44.1 x 2 bytes = 176400 bytes/sec = 10,584,000 bytes/min = 635,040,000 bytes/hour (=620 Mbytes/hour)

• So for really high speed samples we need very high sampling indeed around 20-40 MHz

• This is very costly and is now being achieved at different levels by the manufacturers and essentially removes a huge amount of electronics (pulse width, integration circuits, thresh-holding circuits, comparator circuits, etc)

Page 13: Flow cytometry

Page 13© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Fluorescence compensation

• Discussed later in series

Precision, sensitivity and accuracy

3rd Ed. Shapiro p 171-177

Page 14: Flow cytometry

Page 14© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Precision - C.V.

• Precision: CV• Sensitivity• MESF Units• Accuracy and Linearity• Noise• Background• Laser noise

Page 15: Flow cytometry

Page 15© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Conclusion

Shapiro’s 7th Law of Flow Cytometry:

No Data Analysis Technique Can Make Good Data Out of Bad Data!!!

Page 16: Flow cytometry

Page 16© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Coefficient of Variation

Crucial in establishing:• alignment• Fluidic stability• Staining of cells

MEAN

CV=3.0

CV=3.0

%CV Definition = St.Dev x 100MEAN

Page 17: Flow cytometry

Page 17© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Quantitative Units - ABCAntiboidy Binding Capacity

• The number of antibodies that bind to a specific cell or microbead population

• Note: ABCs are not necessarily the number of antigens or epitopes on the cell.

Page 18: Flow cytometry

Page 18© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

0 50 100 150 200 250

1

10

100

1,000

10,000

100,000

1,000,000

Histogram Channel

An

tib

od

y B

ind

ing

Cap

acit

y

Mean98%

Detection Threshold (noise)

Slide from Dr. Abe Schwartz

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Page 19© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

What is the Importance of   the Detection Threshold?

Indicates the lowest level that a specific antibody may be detected by the instrument.

Indicates if the noise level will interfere with the assay.

Page 20: Flow cytometry

Page 20© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Coefficient of Response• The slope of the calibration line determined

from a 256 Histogram Scale• Also indicates the number of Histogram

Channels per Decade of amplification.Examples:• Coef of Res = 256/4 = 64.0 HC/Decade• (4 decade amplifier) 85.3 HC/Decade• Coef of Res = 256/3 = (3 decade amplifier)

Slide from Dr. Abe Schwartz

Page 21: Flow cytometry

Page 21© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Zero Channel Value?

• It is the intercept of the calibration line on the ABC axis.

• represents the lowest ABC value theoretically observable in the Window of Analysis.

• It anchors the left hand corner of the Window of Analysis in Sample Space

Slide from Dr. Abe Schwartz

Page 22: Flow cytometry

Page 22© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Comparison of Windows of Analysis in Sample Space

Coef. of Res = 85.3

(3 decade log amp)

Coef. of Res = 64.0

(4 decade Log amp)

ABC Sample Space

Zero ChannelValue

255

0

Slide from Dr. Abe Schwartz

Page 23: Flow cytometry

Page 23© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Determination of Unknowns

CellsCells

StandardsStandards

200 400 600 80001

10

100

1,000

10,000

100,000

AntibodyBindingCapacity

DetectionLevel

Non-specificBinding

SpecificBinding

Slide from Dr. Abe Schwartz

Page 24: Flow cytometry

Page 24© 1988-2002 J.Paul Robinson, Purdue University Cytometry Laboratories BMS 602 LECTURE 9.PPT

Important Components• MESF Units

– Molecules of Equivalent Soluble Fluorochrome

• Accuracy and Linearity• Noise• Background

http://www.cyto.purdue.edu