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==The three-dimensional optical transfer function==
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Although one typically thinks of an image as planar, or two-dimensional, the imaging system will produce a three-dimensional intensity distribution in image space that in principle can be measured. e.g. a two-dimensional sensor could be translated to capture a three-dimensional intensity distribution. The image of a point source is also a three dimensional (3D) intensity distribution which can be represented by a 3D point-spread function. As an example, the figure on the right shows the 3D point-spread function in object space of a wide-field microscope (a) alongside that of a confocal microscope (c). Although the same microscope objective with a numerical aperture of 1.49 is used, it is clear that the confocal point spread function is more compact both in the lateral dimensions (x,y) and the axial dimension (z). One could rightly conclude that the resolution of a confocal microscope is superior to that of a wide-field microscope in all three dimensions.
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where
* <math>Y_k\,</math> = the <math>k^\text{th}</math> value of the MTF
* <math>N\,</math> = number of data points
* <math>n\,</math> = index
* <math>k\,</math> = <math>k^\text{th}</math> term of the LSF data
* <math>y_n\,</math> = <math>n^\text{th}\,</math> pixel position
* <math>i=\sqrt{-1}</math>
:<math> e^{\pm ia} = \cos(a) \, \pm \, i \sin(a) </math>
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:<math>\operatorname{ESF} = \frac{X - \mu}{\sigma} \qquad \qquad \sigma\, = \sqrt{\frac{\sum_{i=0}^{n-1} (x_i-\mu\,)^2}{n}} \qquad \qquad \mu\, = \frac{\sum_{i=0}^{n-1} x_i}{n} </math>
where
* ESF = the output array of normalized pixel intensity data
* <math>X\,</math> = the input array of pixel intensity data
* <math>x_i\,</math> = the ''i''<sup>th</sup> element of <math>X\,</math>
* <math>\mu\,</math> = the average value of the pixel intensity data
* <math>\sigma\,</math> = the standard deviation of the pixel intensity data
* <math>n\,</math> = number of pixels used in average
The line spread function is identical to the [[derivative|first derivative]] of the edge spread function,<ref name=Mazzetta2007>Mazzetta, J.A.; Scopatz, S.D. (2007). Automated Testing of Ultraviolet, Visible, and Infrared Sensors Using Shared Optics.'' Infrared Imaging Systems: Design Analysis, Modeling, and Testing XVIII,Vol. 6543'', pp. 654313-1 654313-14</ref> which is differentiated using [[numerical analysis|numerical methods]]. In case it is more practical to measure the edge spread function, one can determine the line spread function as follows:
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where:
* <math>i\,</math> = the index <math>i = 1,2,\dots,n-1</math>
* <math>x_i\,</math> = <math>i^\text{th}\,</math> position of the <math>i^\text{th}\,</math> pixel
* <math>\operatorname{ESF}_i\,</math> = ESF of the <math>i^\text{th}\,</math> pixel
====Using a grid of black and white lines====
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==See also==
* [[Bokeh]]
* [[Gamma correction]]
* [[Minimum resolvable contrast]]
* [[Minimum resolvable temperature difference]]
* [[Optical resolution]]
* [[Signal-to-noise ratio]]
* [[Signal transfer function]]
* [[Strehl ratio]]
* [[Transfer function]]
* [[Wavefront coding]]
==References==
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==External links==
* [https://spie.org/publications/tt52_131_modulation_transfer_function "Modulation transfer function"], by Glenn D. Boreman on SPIE Optipedia.
* [https://www.optikos.com/wp-content/uploads/2013/11/How-to-Measure-MTF.pdf "How to Measure MTF and other Properties of Lenses"], by Optikos Corporation.
[[Category:Optics|Transfer function]]
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