This document describes an optical tweezers setup and its use in studying malaria. It begins with an introduction to optical tweezers and how they work. It then describes the experimental setup, including the laser sources, optics, and quadrant photodetector used to trap and track particles. Details are provided on calibrating and checking the setup. The document then discusses malaria, including its life cycle, diagnosis, and samples of infected and normal red blood cells that were studied using optical tweezers. Results showed that the corner frequency, a measure of trap stiffness, increased more sharply with laser power for infected cells compared to normal cells.
fundamental of entomology all in one topics of entomology
Biological Applications of Optical Tweezers Explained
1. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Biological Applications of Optical Tweezers
A Presentation for Comprehensive Exam
Apurba Paul
Department of Physics
Indian Institute of Science, Bangalore
30 June, 2010
2. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Outline of Talk
1 Introduction
2 Experimental Setup
3 Experiment, Results and Discussion
4 Future Plan
3. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Introduction to Optical Tweezers
Optical Tweezers
Instrument used to trap micron size particle using tightly focused
laser beam is called optical tweezers
Application
Optical tweezers has a wide application in the field of physics and
biology
Studying and manipulating single cells
Manipulating single molecules like DNA
Measuring forces of order piconewton
4. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Working Principle
There are two regimes to explain the trapping of the particle by
optical tweezers
Rayleigh Regime:
When d λ
Mie or Ray Optics Regime:
When d λ
5. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Working Principle
There are two regimes to explain the trapping of the particle by
optical tweezers
Rayleigh Regime:
When d λ
Mie or Ray Optics Regime:
When d λ
6. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Working Principle
There are two regimes to explain the trapping of the particle by
optical tweezers
Rayleigh Regime:
When d λ
Mie or Ray Optics Regime:
When d λ
7. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Rayleigh Regime
When d λ
Trapped due to Electric Field
Intensity Gradient
Energy at Electric field is
U = −P · E
= −αE · E
= −αE2
= −αI
Minimum at focus if α is positive.
Trapping Due to Intensity
Gradient
8. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Mie Regime
When d λ
can be explain using ray or
geometrical optics and the
change of momentum of photon
due to refraction.
Trapping due to momentum
change
9. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Trap Stiffness And Its Measurement
Trap Stiffness:
The stiffness depends on several parameters
Wavelength and Power of Laser
Refractive index of the Bead and Medium
Size and Shape of the particle
Numerical aperture and magnification of the Objective
Koen et. al., IEEE Journal of Selected Topics in Quantum Electronics, Vol. 2,
No. 4, December 1996
10. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Trap Stiffness And Its Measurement
Trap Stiffness:
The stiffness depends on several parameters
Wavelength and Power of Laser
Refractive index of the Bead and Medium
Size and Shape of the particle
Numerical aperture and magnification of the Objective
Koen et. al., IEEE Journal of Selected Topics in Quantum Electronics, Vol. 2,
No. 4, December 1996
11. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Trap Stiffness And Its Measurement
Trap Stiffness:
The stiffness depends on several parameters
Wavelength and Power of Laser
Refractive index of the Bead and Medium
Size and Shape of the particle
Numerical aperture and magnification of the Objective
Koen et. al., IEEE Journal of Selected Topics in Quantum Electronics, Vol. 2,
No. 4, December 1996
12. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Trap Stiffness And Its Measurement
Trap Stiffness:
The stiffness depends on several parameters
Wavelength and Power of Laser
Refractive index of the Bead and Medium
Size and Shape of the particle
Numerical aperture and magnification of the Objective
Koen et. al., IEEE Journal of Selected Topics in Quantum Electronics, Vol. 2,
No. 4, December 1996
13. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Trap Stiffness And Its Measurement
Trap Stiffness:
The stiffness depends on several parameters
Wavelength and Power of Laser
Refractive index of the Bead and Medium
Size and Shape of the particle
Numerical aperture and magnification of the Objective
Koen et. al., IEEE Journal of Selected Topics in Quantum Electronics, Vol. 2,
No. 4, December 1996
14. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Trap Stiffness And Its Measurement
Measurement
There are several methods for stiffness measurement
Escape Force Method
Drag Force Method
Equipartition Method
Step Response Method
Power Spectrum Method
Koen et. al., IEEE Journal of Selected Topics in Quantum Electronics, Vol. 2,
No. 4, December 1996
15. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Trap Stiffness And Its Measurement
Measurement
There are several methods for stiffness measurement
Escape Force Method
Drag Force Method
Equipartition Method
Step Response Method
Power Spectrum Method
Koen et. al., IEEE Journal of Selected Topics in Quantum Electronics, Vol. 2,
No. 4, December 1996
16. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Trap Stiffness And Its Measurement
Measurement
There are several methods for stiffness measurement
Escape Force Method
Drag Force Method
Equipartition Method
Step Response Method
Power Spectrum Method
Koen et. al., IEEE Journal of Selected Topics in Quantum Electronics, Vol. 2,
No. 4, December 1996
17. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Trap Stiffness And Its Measurement
Measurement
There are several methods for stiffness measurement
Escape Force Method
Drag Force Method
Equipartition Method
Step Response Method
Power Spectrum Method
Koen et. al., IEEE Journal of Selected Topics in Quantum Electronics, Vol. 2,
No. 4, December 1996
18. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Trap Stiffness And Its Measurement
Measurement
There are several methods for stiffness measurement
Escape Force Method
Drag Force Method
Equipartition Method
Step Response Method
Power Spectrum Method
Koen et. al., IEEE Journal of Selected Topics in Quantum Electronics, Vol. 2,
No. 4, December 1996
19. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Trap Stiffness And Its Measurement
Measurement
There are several methods for stiffness measurement
Escape Force Method
Drag Force Method
Equipartition Method
Step Response Method
Power Spectrum Method
Koen et. al., IEEE Journal of Selected Topics in Quantum Electronics, Vol. 2,
No. 4, December 1996
20. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Power Spectrum method and Corner Frequency
Bead does Brownian
fluctuation inside the trap.
The power spectrum of the
fluctuation is a Lorentzian.
Given By
Sx (f ) =
kbT
(γπ2) (f 2
c + f 2)
γ = Stokes viscous drag
coefficient. fc = Corner
Frequency
The corner frequency is
related with stiffness by
relation ktrap = 6π2ηdfc
Figure: Brownian fluctuation
3.5
3.4
3.3
3.2
3.1
3.0
2.9
---------Position(arbitraryunit)------>
6s543210
---------Time(s)------->
21. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Power Spectrum method and Corner Frequency
Bead does Brownian
fluctuation inside the trap.
The power spectrum of the
fluctuation is a Lorentzian.
Given By
Sx (f ) =
kbT
(γπ2) (f 2
c + f 2)
γ = Stokes viscous drag
coefficient. fc = Corner
Frequency
The corner frequency is
related with stiffness by
relation ktrap = 6π2ηdfc
Figure: Brownian fluctuation
3.5
3.4
3.3
3.2
3.1
3.0
2.9
---------Position(arbitraryunit)------>
6s543210
---------Time(s)------->
Figure: Power Spectrum
10
-2
10
-1
10
0
10
1
10
2
10
3
10
4
10
5
---------Amplitude-------->
1 10 100 1000
-------Frequency (Hz)------->
22. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Optical Tweezers
Power Spectrum method and Corner Frequency
Bead does Brownian
fluctuation inside the trap.
The power spectrum of the
fluctuation is a Lorentzian.
Given By
Sx (f ) =
kbT
(γπ2) (f 2
c + f 2)
γ = Stokes viscous drag
coefficient. fc = Corner
Frequency
The corner frequency is
related with stiffness by
relation ktrap = 6π2ηdfc
Figure: Brownian fluctuation
3.5
3.4
3.3
3.2
3.1
3.0
2.9
---------Position(arbitraryunit)------>
6s543210
---------Time(s)------->
Figure: Power Spectrum
10
-2
10
-1
10
0
10
1
10
2
10
3
10
4
10
5
---------Amplitude-------->
1 10 100 1000
-------Frequency (Hz)------->
23. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Malaria
Introduction to Malaria
Malaria is a mosquito borne disease
Malaria transmitted by the bite of female Anopheles
Per year 200-300 million cases of infection are found, and 1-2
million people die due to malaria.
There are five species of Malaria
Plasmodium falciparum
Plasmodium vivax
Plasmodium ovale
Plasmodium malariae
Plasmodium knowlesi
Affects liver and damages the Red Blood Cell (RBC).
24. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Malaria
Life Cycle of Plasmodium
While taking blood meal from infected
human, female Anopheles gets
infected and the protozoa grows inside
its salivary gland to form sporozoite.
sporozoite enter blood stream from
infected mosquito and migrate to liver.
Here they multiply to merozoite and
enter blood stream again.
Merozoite infect RBCs and develop
ring stage, tropozoite and schizont
stage and multiply asexually.
Then they come back to blood stream
in merozoite stage
Life Cycle of Plasmodium
25. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Malaria
Diagnosis of Malaria
Symptoms of Malaria are very non specific so, specific laboratory
based diagnosis techniques to detect malaria are required. There
are several Diagnostic tools
Microscopic examination of blood films
Antigen Test or Malaria Rapid Diagnostic Test
Molecular Test
Miller et. al. Nature, Vol 415, 2002
26. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Malaria
Diagnosis of Malaria
Symptoms of Malaria are very non specific so, specific laboratory
based diagnosis techniques to detect malaria are required. There
are several Diagnostic tools
Microscopic examination of blood films
Antigen Test or Malaria Rapid Diagnostic Test
Molecular Test
Miller et. al. Nature, Vol 415, 2002
27. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Malaria
Diagnosis of Malaria
Symptoms of Malaria are very non specific so, specific laboratory
based diagnosis techniques to detect malaria are required. There
are several Diagnostic tools
Microscopic examination of blood films
Antigen Test or Malaria Rapid Diagnostic Test
Molecular Test
Miller et. al. Nature, Vol 415, 2002
28. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Malaria
Diagnosis of Malaria
Symptoms of Malaria are very non specific so, specific laboratory
based diagnosis techniques to detect malaria are required. There
are several Diagnostic tools
Microscopic examination of blood films
Antigen Test or Malaria Rapid Diagnostic Test
Molecular Test
Miller et. al. Nature, Vol 415, 2002
29. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Schematic
Experimental Setup
Beam Splitter
Cube
Nd:YAG 1064 nm
Laser
Power 300mw
He:Ne 632 nm
Laser
Power 5mw
PC
QPD
Eyepiece
λ/2 wave plate
1.44 NA 100X
Oil Immersion
Objective
Sample
IR Block
M4
M3
M1
M2
L1
L2
A
B
C D
x=(A+C)-(B+D)
y=(A+B)-(C+D)
Quadrant Photo Detector(QPD)
32. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Checking
Checking QPD
Kept QPD at dark place and
took the data.
10
-1
10
0
10
1
10
2
10
3
10
4
10
5
----Amplitude----->
1 10 100 1000
----Frequency (Hz)----->
Kept the He:Ne laser on and
checked the power spectrum.
10
-1
10
0
10
1
10
2
10
3
10
4
10
5
----Amplitude----->
1 10 100 1000
----Frequency (Hz)----->
33. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Checking
Checking Alignment
We trapped single 3 µm
polystyrene bead.
We measured corner
frequency at different power
from 250 mW to 350 mW
Plot of the fc vs power is a
linear as shown.
50
40
30
20
10
0
-----Cornerfrequency----->
4003002001000
----Power of Laser (mw)---->
34. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Sample
Preparing RBC Sample
We have taken RBC samples from the Prof. Utpal Tatu’s lab
which are suspended in PBS to be trapped in optical tweezers
Figure: Untrapped RBC Figure: Trapped RBC
Photograph showing how an RBC reorient itself when it is trapped.
35. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Experiment & Result
Power vs fc for Infected and Normal RBCs
We trapped single RBC
We measured fc for different power which increases linearly
with laser power and it passes through origin.
But the slope increases significantly for infected RBC than
normal. Which shows clear difference between normal and
Infected RBC
40
30
20
10
0
CornerFrequency
4003002001000
Laser Power (mw)
Normal RBC, Slope = 0.0868
Infected RBC, Slope = 0.1032
Power dependence of fc . Here slope
for normal RBC is 0.08 and for
Infected RBC is 0.10
36. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Experiment & Result
Distribution of Corner Frequency
We have measured the corner frequency of the ensemble of 50
RBCs for both normal and infected RBCs and checked the
histogram
8
6
4
2
0
NoofCounts
40353025
fc (Hz)
Histogram for Normal RBC
Mean fc =26.964
standerd deviation =1.95232
Mean fc = 26.9
Standard deviation (σ) = 1.95
4
3
2
1
0
Noofcounts
40353025
Corner frequency(Hz)
Histogram for Infected RBC
Mean fc =32.2
Standerd Deviation =5.29
Mean fc = 32.2
Standard deviation(σ) = 5.29
So mean fc is increasing almost by 20% and σ by 200%.
37. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Experiment & Result
fc at different stages of infection
We measure fc for every stage of infection for every two hour.
We see fc is independent of time and stages of infection
38. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Experiment & Result
Result of this work has recently published in the following paper:
Vishal Saraogi, P. Padmapriya, Apurba Paul, Utpal S. Tatu, Vasant Natarajan
Change in spectrum of Brownian fluctuations of optically trapped red blood
cells due to malarial infection, Journal of Biomedical Optics, Vol 15 No 3
(2010)
39. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Experiment & Result
Bystander Effect
There are only 2-5% of RBCs actually infected by malaria.
We have measured fc by selecting RBCs randomly from the
sample.
So most of the RBCs for which we have measured the fc are
not actually hosting the parasite.
But the above result shows an increase in corner frequency for
all RBCs from infected sample.
We call it as Bystander Effect.
So it is very much likely that the medium is also affected by
the infection.
40. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Experiment & Result
fc for RBC samples that actually host the parasite and
those that do not
This experiment was done to check if the RBCs which do not
host the parasite from the infected sample are actually
affected or not.
We separate the actual host and non host and see the
histogram of fc
5
4
3
2
1
0
Noofcounts
40353025
Frquency (Hz)
Figure: Histogram for actual host
RBCs, Mean fc =32.0
0.20
0.15
0.10
0.05
0.00
Noofcounts
40353025
Frequency (Hz)
Figure: Histogram for non host
RBCs, Mean fc =31.4
41. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Experiment & Result
fc for normal RBC in the spent medium
This experiment was to check if medium is affected.
All RBCs were taken out from infected blood and the serum
was used.
Normal RBCs were injected into it and incubated for 48 hrs.
We then take out the RBCs and measure the fc.
Mean fc is 31.3 Hz which is within 80% that of infected RBCs.
42. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Experiment & Result
Time vs fc for Normal RBCs in the spent medium
We incubated RBCs in the spent medium.
Measure fc for every 6 hr of incubation.
The variation of mean fc vs time.
32
31
30
29
28
27
Meancornerfrequency(Hz)
40302010
Time (Hr)
43. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Discussion
Discussion
In summary
Corner frequency of power spectrum of the Brownian
fluctuation of RBC is significantly increasing due Malarial
infection.
The change is independent of the stages of infection.
Those RBCs which are actually not hosting the parasite also
show increase of fc (bystander effect).
We have shown that even the medium is affected.
So we can say that some chemical is released in the medium due
to infection, which is affecting the so called non infected RBCs
from the infected pool.
44. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Future Plan
We want to find out what is causing this change in the
medium.
So far we did this experiment using P falciparum only. We
want to do the same experiment using P vivax
We did this experiment using cultured sample. We want to
test it for actual patient sample where the parasite count is
even less (1-2%)
We want to extend the experiment to other diseases which
affect the cell like cancer, leukemia, thalasemia.
We want to do some single molecule experiments using DNA
45. Introduction Experimental Setup Experiment, Results and Discussion Future Plan Acknowledgement
Acknowledgement
I want to thank my supervisor Prof. Vasant Natarajan for his
constant support and guidance. I extend my sincere thanks to
Prof. Utpal Tatu and Pallavi for providing us samples and for
valuable advices.
This work was supported by the Board of Research in Nuclear
Sciences (DAE), the Life Sciences Research Board (DRDO), and
the Department of Biotechnology, India