Measuring the resolution of a stereomicroscope: MTF method

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Modulation Transfer Function (MTF)

(This method works at any magnification, but involves building a target, as described below.)

Fig 1. Loss of contrast

Ideally, light from a subject would map directly to the image without any spreading or distortion. But lens imperfections (eg., aberrations) and aperture diffraction spread light from the subject. The spreading decreases contrast, darkening neighbouring areas that should have been brighter, and brightening adjacent areas that should have been darker. Eventually, where neighbouring black and white areas on the subject are very close, the corresponding image points are just grey. This is illustrated in figure 1, where lines of various spatial wavelengths have been treated with a Photoshop Gaussian blur of radius 1.5 pixels -- but note also that even the long wavelengths, though still quite visible, lost clarity and sharpness as their contrast was diminished by blurring.

(Rendering a sharp edge requires high spatial frequencies, ie., short spatial wavelengths. The effect of the Photoshop Gaussian blur tool is to remove higher spatial frequencies, leaving the lower frequency components. In figure 1, the left-most set of lines has only higher frequency components, so when those higher frequencies were removed, all that remains is grey. The other sets of lines have lower spatial frequencies that survive the filter, but their higher frequency components, necessary to render sharp edges, are gone, hence the rounding and blurring.)

Fig 2. Five degree slant

The quality of a (stereo)microscope is related to how well it transmits spatial frequencies; higher quality microscopes will transmit higher spatial frequencies. The 'Modulation Transfer Function' (MTF) is a measure of the ability of an optical system to transfer contrast from the subject to the image plane, as a function of spatial frequency. The MTF is a spatial frequency response curve.

One way to measure the MTF of an optical system is to analyse how well an edge is imaged; the better the optical system, the sharper the edge in the image. By arranging the edge be slanted slight with respect to the sensor pixel rows, the edge response in the image can be measured with high resolution (clever!), as described in the documentation pages for two software packages that produce MTF reports from given images of slanted edges: Imatest and QuickMTF.

The test image must have a straight edge and must have uniform intensity on either side of the edge, one side darker than the other.

Fig 3. Razor blade target, above grey surface

It's essential that the edge be straight, and at microscopic scales, it's tough finding or making an object or drawing with perfectly straight edge. I used a razor blade. To make the side of the blade uniformly coloured and dark, I immersed one side briefly in the yellow part of a candle flame to deposit a carbon coating, just enough to make it uniformly black, taking care not to create lumps (it's easy to wipe off a deposit and try again). Then the blade was mounted a few millimeters above a uniform grey surface (a photographic print fragment, in my case); the millimeters-high gap ensured that the underlying surface would be out of focus and thus more uniform. The resulting target, shown in figure 3, was then illuminated from a side so that there would be no shadow visible when the edge is viewed from the top by the microscope.

The edge was then photomicrographed through a stereomicroscope at various zoom levels. It's crucial that the edge be in focus, and slanted close to 5 degrees with respect to the camera's pixel rows (or columns), so that the resulting photomicrograph looks like figure 2. To obtain the desired angle, I used a wedge of paper cut at 5 degrees as a reference against the frame of LCD display of the camera. The edge can be positioned in the frame wherever you like, but best optical performance is likely to be on the optical axis. Illumination can be adjusted to control contrast.

To ensure that at least a portion of the edge passes through the focal plane, perfectly in focus, the target can be propped up slightly at one end (or you can rely upon the angled view of a single stereomicroscope objective).

As mentioned, I'm aware of two image analyser packages that provide MTF analysis: Imatest, and QuickMTF. Both are commercial products but offer free evaluation trials. Imatest is used by a number of photographic review sites (eg., dpReview.com), QuickMTF is simpler and easier to use. They differ slightly in the results; Imatest tends to report better performance than QuickMTF. Below are examples of their analyses of the same image (which was photograph using a Canon A75 of a low-contrast target generated by an LCD display). [2016 update: There are now free, open source MTF analysers, eg., MTF Mapper, and an MTF plug-in for ImageJ.]

Fig 4. Imatest (edge profile and MTF on one report page)

Fig 5. QuickMTF (edge profile or MTF can be displayed, but not same page)

It's important that the image data provided to the MTF analyser be as unprocessed as possible. For cameras that can produce RAW files, that's the way to go (disable sharpening, noise reduction, white balancing, etc when converting them to TIF or PNG -- avoid JPG because it is lossy). For cameras that produce only JPGs (eg., the Canon A75 used below), their built-in sharpening algorithm may ignore the edge if the contrast between the two regions is low enough. The edge profile should look sigmoidal, like that shown in figure 4. If instead it has a 'bump' at either end of the rise, it's probably been altered by a sharpening algorithm -- try reducing the contrast between the two regions (note how little contrast there is between the regions in the images of figure 4 and 5; the edge is barely visible). All that is not a problem if RAW files are available; in that case, high contrast is preferred.

Obtaining resolution and numeric aperture information from an MTF analysis

A single value for resolution or numerical aperture is somewhat less interesting when one has an MTF curve, but the Rayleigh resolution and equivalent diffraction-limited NA at various MTF levels can be estimated from MTF figures provided by the image analyser software as follows:

The theoretical aberration-free diffraction-limited MTF result for a uniformly lit circular aperture is:

MTF(ν) = 2/π (φ - cos(φ) sin(φ)),

where ν is spatial frequency (cycles/mm) and φ = arccos(ν λ / 2NA)

MTF is zero at the 'cut-off' frequency where φ is 0, ie., ν = 2NA / λ. MTF50 is obtained when φ = 1.155, therefore:

1.155 = arccos(νMTF50 λ / 2NA)

cos(1.155) = νMTF50 λ / 2NA

NA = νMTF50 λ / 0.808

Similarly,

NA = νMTF30 λ / 1.17

According to the Rayleigh Criterion, two points in the subject plane are considered resolvable when their Airy disc centers are separated by at least the radius of an Airy disc. The radius rAiry of the Airy disc (the distance from the central point to the first minimum ring) is:

rAiry = 0.61 λ / NA

Thus the Rayleigh frequency νRayleigh is:

νRayleigh = 1 / rAiry = NA / 0.61 λ

We can find the NA from the MTF at the Rayleigh frequency, as follows:

φRayleigh = arccos(νRayleigh λ / 2NA) = arccos((NA / 0.61 λ)(λ / 2NA)) = arccos(1 / 1.22)

MTF(νRayleigh) = 0.0894 ≅ 9%

Thus,

rRayleigh = 1 / νMTF09

And with the same procedure used to find MTF50 above,

NA = νMTF09 λ / 1.638

The above estimates of NA from an MTF assume that the optics are perfect and only diffraction-limited. If there are optical issues (eg., aberrations, dispersion), the MTF curve will be lower, and thus the NA will be under-estimated, and likely will vary depending on which MTF value is used (eg., MTF50, MTF30 or MTF09). NA depends on geometry, but that doesn't ensure the optics can deliver. MTF is a measure of complete system performance, including the NA and optics. NA as derived from MTF as above could be considered an 'effective NA', ie., the NA of a system with diffraction-limited optics that would deliver the MTF observed. Given this, probably more useful is the Rayleigh resolution (or the equiv. frequency) based on MTF09.

Example

See Review: MicroscopeNet V434B stereomicroscope for an example of the application of this method applied to a microscope.

Version history:

2010-Dec: First issue
2016-Aug: HTML5, minor edits