About the Optimal Optical Transfer Function of a Microscope Jrg - - PowerPoint PPT Presentation

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About the Optimal Optical Transfer Function of a Microscope Jrg - - PowerPoint PPT Presentation

About the Optimal Optical Transfer Function of a Microscope Jrg Enderlein Georg August University Gttingen Germany Quantitative BioImaging 2019, January 9 11 Rennes, France The Optical Microscope And Its Resolution


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SLIDE 1

About the Optimal Optical Transfer Function

  • f a Microscope

Jörg Enderlein Georg August University Göttingen Germany Quantitative BioImaging 2019, January 9 ‒ 11 Rennes, France

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SLIDE 2

The Optical Microscope And Its Resolution

min

2 sin 2 N.A. y n     

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SLIDE 3

The Optical Transfer Function

sin ' sin    M n Abbe‘s sine condition: detection and imaging as a superposition

  • f plane waves
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SLIDE 4

The Optical Transfer Function

imaging as a superposition of plane waves Fourier transform of electric field

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SLIDE 5

The Optical Transfer Function

intensity = absolute square of electric field in Fourier space: convolution Fourier transform of electric field

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SLIDE 6

The Optical Transfer Function

Optical Transfer Function Fourier transform of electric field

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SLIDE 7

The Optical Transfer Function

PSF = Fourier back- transform of OTF Optical Transfer Function

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SLIDE 8

The Point Spread Function

electric field intensity

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SLIDE 9

The Optical Transfer Function

electric field Fourier transform of electric field

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SLIDE 10

The Optical Transfer Function

convolution Fourier transform of electric field

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SLIDE 11

The Optical Transfer Function

convolution OTF

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SLIDE 12

The Optical Transfer Function

electric field of collected light

  • r

electric field of focused excitation OTF WFM

  • r

OTF CLSM (no pinhole)

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SLIDE 13

The Optical Transfer Function

 

2 max sin     n k

 

4 max sin     n k

 

min

2 2 sin 2 N.A. max        y n k

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SLIDE 14

But what would be the optimal Optical Transfer Function for a given finite frequency support of a microscope? Answer: The OTF which yields the sharpest image.

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SLIDE 15

One-dimensional case

   

max max max

lim exp 2

q q q

dq iqx x

 

  

But we have also to require strict non-negativeness

  • f PSF!

OTF PSF Maybe, a uniform amplitude across all available frequencies is optimal.

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SLIDE 16

One-dimensional case

   

max max

2

exp 2

q q

dq U x iqx

 

strictly non-negative OTF PSF

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SLIDE 17

How about non-uniform amplitude distribution?

 

1 a q q    OTF E-Field PSF

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SLIDE 18

A heuristic argument for the Optimal Optical Transfer Function

   

2

dxU x x dxU x

   

 

does generally not converge What is a good measure of „sharpness“? So what about the following idea?

   

2 2 2

dxU x x dxU x

   

     

 

minimize

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SLIDE 19

A heuristic argument for the Optimal Optical Transfer Function

   

2 2 2

dxU x x dxU x

   

     

 

 

1 a q q   

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SLIDE 20

Recipe For Finding Optimal OTF: Minkowski Sum Decomposition

Given the frequency support of OTF (B), search Minkowski decomposition (A) so that its auto-convolution recovers the OTF support, then fill Minkowksi decomposition with uniform frequency amplitude and calculate via auto- convolution optimal OTF. A A B

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SLIDE 21

OTFs of Ideal Wide-Field Microscope or Pinhole-less Laser-Scanning Microscope Are Optimal

electric field of collected light

  • r

electric field of focused excitation OTF WFM

  • r

OTF CLSM (no pinhole)

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SLIDE 22

Minkowski Sum = Geometric Convolution

A B

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SLIDE 23

Minkowski Sum = Geometric Convolution

A B

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SLIDE 24

Minkowski Sum = Geometric Convolution

A B C

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SLIDE 25

Minkowski Sum Decomposition

generally unsolved problem easy for convex shapes

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SLIDE 26

Example: Ideal Confocal Microscope Or Image Scanning Microscope

OTF of excitation OTF of detection through infinitely small pinhole OTF of LSCM with infinitely small pinhole Stokes shift neglected

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SLIDE 27

Example: Ideal Confocal Microscope

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SLIDE 28

Example: Ideal Confocal Microscope

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SLIDE 29

Conclusion

  • Optimal OTF can be generated via an auto-

convolution of a frequency distribution with uniform constant amplitude

  • General problem of how to find Minkowski

decomposition for non-convex shapes - may be complicated

  • Knowing the optimal OTF is important for

deconvolution but also for physical PSF engineering

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SLIDE 30

Acknowledgements

Ingo Gregor Alexey I. Chizhik Anna M. Chizhik Narain Karedla Roman Tsukanov Yunking Tang Simon Stein Jan Thiart Daja Ruhlandt Sebastian Isbaner Arindam Ghosh Akshita Sharma Aditya Katta Soheil Mojiri Shun Qin Hongje Jang Nazar Oleksiievits Collaborations Fred Wouters Gertrude Bunt Jörg Großhans Robert Ros Andreas Janshoff Florian Rehfeldt Ralph Kehlenbach

www.joerg-enderlein.de