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Quantitative phase estimation with a bright field microscope

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Title: Quantitative phase estimation with a bright field microscope


1
Quantitative phase estimation with a bright field
microscope
Sri Rama Prasanna Pavani, Ariel Libertun, Sharon
King, and Carol Cogswell Micro Optical Imaging
Systems Laboratory, ECE, University of Colorado
at Boulder http//moisl.colorado.edu
Frontiers in Optics 9/18/2007
2
Phase imaging What? How?
  • Transparent (phase) objects modulate only the
    phase of light
  • Convert phase modulations into detectable
    intensity modulations
  • Quantitative phase for weak phase objects
  • No phase wrapping
  • Halo and shading-off
  • Only for thin objects
  • Quantitative phase after reconstruction
  • No phase wrapping
  • Polarization sensitive
  • Only for thin objects
  • Multiple images
  • Quantitative phase after reconstruction
  • Thick phase objects
  • Single image
  • Vibration sensitive
  • Phase wrapping
  • No quantitative phase

3
Our method
  • Amplitude mask in the field diaphragm
  • Pattern is imaged on the sample
  • Phase object distorts the pattern
  • Record the distorted pattern
  • Analytical formula calculates phase

Vs
0.2 0.1
(mm)
0.4 0.2
0 0.2 0.4
(mm)
(mm)
4
Our method 1D
  • Analytically relate deformation to the optical
    path length
  • Consider a 1D phase object p(x)
  • Ray R from point A, after refraction, appears as
    if it originated from B
  • Deformation t(x) is the distance between A and B

Normal
Tangent
n2
p(x)
n1
A
B
t(x)
Pavani et al, Quantitative structured-illuminatio
n phase microscopy, submitted to Applied Optics,
June 07 Pavani et al, Structured-illumination
quantitative phase microscopy, CMB4, COSI 2007
5
Our method 2D
1D deformations
After 1D integrations
C1 C2 . . CN
Quantitative Phase
2D deformation
K1 K2 KN
Pavani et al, Quantitative structured-illuminatio
n phase microscopy, submitted to Applied Optics,
June 07
6
Simulation
X 100
18 9 0
5 0 -5
Calculated Phase
Quadratic phase
50 25 0
50 25 0
200 100
200 100
After 1D integrations
1D deformations
X 100
18 9 0
5 0 -5
0 100 200
0 100 200
Error
8 4 0 -4 -8
(nm)
Peak error is 5 orders less than peak phase
Error
0 100 200
7
Experimental Results
X,Y Deformations
Dot shift
Original pattern
3 0 -3
360 180
0 240 480
Deformed pattern
3 0 -4
360 180
16.54
0 240 480
Quantitative phase
40 30 20 10 0
Profilometer Our method
Object Drop of optical cement
360 180
480 240 0
8
Spatial Resolution
  • Size and the spacing between dots
  • Dots sampling the object must obey Nyquist
  • Resolution enhancement by shifting

d
s
M
M
shift right
shift down
shift diagonally




N
N



  • If dot size diffraction limited spot size,
    quantitative phase imaging with the same
    resolution as a bright field image is possible

9
Spatial Resolution
  • Size and the spacing between dots
  • Dots sampling the object must obey Nyquist
  • Resolution enhancement by shifting

d
s
M
M
shift right
shift down
shift diagonally




N
N



  • If dot size diffraction limited spot size,
    quantitative phase imaging with the same
    resolution as a bright field image is possible
  • Full resolution single image phase imaging with
    multi-colored dots

10
Phase resolution
Dot shift
  • Smallest detectable change in path length
  • Minimum deformation

w detector pixel width M magnification
  • Trapezoidal numerical integration

s
x
x
Example
lt
w 7µm s 1µm
n1 1.5 n2 1
M 100x NA 0.9
Depth of field 753nm
11
Conclusion
  • Described wide field, full resolution
    quantitative phase imaging in a bright field
    microscope
  • Phase is calculated from deformation using an
    analytical formula
  • Conservative calculations with a 100x objective
    predict a phase resolution of 155nm

12
Acknowledgements
  • Prof. Rafael Piestun
  • Prof. Gregory Beylkin
  • Vaibhav Khire

CDMOptics PhD Fellowship
National Science Foundation Grant No. 0455408
13
References
  • J. W. Goodman, Introduction to Fourier Optics,
    (Roberts Company, 2005)
  • M Pluta, Advanced Light Microscopy, vol 2
    Specialised Methods, (Elsevier, 1989)
  • M. R. Arnison, K. G. Larkin, C. J. R. Sheppard,
    N. I. Smith, C. J. Cogswell, Linear phase
    imaging using differential interference contrast
    microscopy Journal of Microscopy 214 (1), 712
    (2004)
  • C. Preza, "Rotational-diversity phase estimation
    from differential-interference-contrast
    microscopy images," J. Opt. Soc. Am. A 17,
    415-424 (2000)
  • Sharon V. King, Ariel R. Libertun, Chrysanthe
    Preza, and Carol J. Cogswell, Calibration of a
    phase-shifting DIC microscope for quantitative
    phase imaging, Proc. SPIE 6443, 64430M (2007)
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    visualization of living cells with subwavelength
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    1999).
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14
Applications and Future work
  • Industrial inspection, biological imaging
  • Extracting information from axial deformation
  • Extending the depth of field of the system
  • Fabrication of an amplitude mask with higher
    spatial resolution

15
Our method How?
1 Dimensional analysis
(from geometry)
(Snells law,
)
(Taylor expansion)
C 2 (C2 C1)
16
Our method How?
M
2 Dimensional analysis
N
Apply 1D solution along x and y to obtain
and
P2
17
Metrology - Cubic phase mask
120 80 40 0
360 180
480 240 0
Deformation
Quantitative OPL profile
140 70 0
Cubic phase mask
360 180
480 240 0
Deformation
Quantitative OPL profile
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