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StructuredIllumination Quantitative Phase Microscopy

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Title: StructuredIllumination Quantitative Phase Microscopy


1
Structured-Illumination Quantitative Phase
Microscopy
Sri Rama Prasanna Pavani, Ariel Libertun, Sharon
King, and Carol Cogswell Micro Optical Imaging
Systems Laboratory University of Colorado at
Boulder http//moisl.colorado.edu
2
Phase Imaging - What?
  • Transparent objects (phase objects) modulate only
    the phase of light
  • Square law detectors do not detect phase
    modulations
  • Convert phase modulations into detectable
    intensity modulations

Bright field
3
Convert phase modulations into detectable
intensity modulations.
Phase imaging - How?
Digital Holography
Phase contrast
Diff. Interference Contrast
  • Quantitative phase after reconstruction
  • Thick phase objects
  • Single image
  • Vibration sensitive
  • Phase wrapping
  • 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

4
Our method - Why?
  • Quantitative phase imaging

Purpose
  • Thick, partially absorbing samples
  • Polarization insensitive

Applicability
  • Single image
  • Non-scanning (wide field)
  • Non-Iterative

Speed
  • Incoherent source
  • Inexpensive

Miscellaneous
5
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)
6
Our method 1D
2D dot shift
1D dot shift
7
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 bright field phase
microscopy, to be sent to Applied Optics
8
Our method 2D
1D deformations
After 1D integrations
Quantitative Phase
2D deformation
Pavani et al, Quantitative bright field phase
microscopy, to be sent to Applied Optics
9
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
10
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
Object Drop of optical cement
360 180
480 240 0
11
Experiment - Accuracy
Profilometer Our method
12
Conclusion
  • Quantitative phase imaging in a brightfield
    microscope.
  • Phase is calculated from deformation using an
    analytical formula.
  • Inexpensive non-scanning, non-iterative,
    single-image technique.

13
Acknowledgements
  • Prof. Rafael Piestun
  • Prof. Gregory Beylkin
  • Vaibhav Khire

CDMOptics PhD Fellowship
National Science Foundation Grant No. 0455408
14
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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15
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

16
Our method How?
1 Dimensional analysis
(from geometry)
(Snells law,
)
(Taylor expansion)
C 2 (C2 C1)
17
Our method How?
M
2 Dimensional analysis
N
Apply 1D solution along x and y to obtain
and
P2
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