Bright or Dark Field Lighting in applications
One of the key components of machine vision imaging is determining what kind of lighting is optimal for your set-up to achieve the best light-dark contrast; bright field lighting or dark field lighting. Bright field is the more commonly used lighting technique whereas dark field is advantageous when imaging things such as reflective surfaces and edge inspections. In this blog we will discuss the lighting requirements for Bright Field and Dark Field Illumination and their advantages and disadvantages in imaging.
Bright Field Lighting Setup
Bright field lighting is the method for imaging reflected light. That is, the light coming from the source is reflected into the camera so that small defects and edges which typically scatter light are not picked up by the camera. This creates a bright image, but areas with engravings, scratches, or indentations may not be as well defined. In addition, due to the reflection of light, reflective surfaces are difficult to image with this lighting set-up. The light source will be scattered less by the object’s surface and more light will be reflected back into the camera, causing a bright spot in the image, as seen below. To properly set up Bright Field Lighting, you want the light sources to be at an angle to the subject or imaging surface of 45 and 90 degrees. Typically positioning these light sources closer to the subject or surface is advantageous, as this helps cover a larger surface area and can help eliminate some of the issues seen with imaging reflective surfaces or edges.
Optimizing Cameras for Bright Field Lighting
The well known Photo Response Non-Uniformity, or PRNU, calibration is optimized to reduce the pixel-to-pixel variation independent of the shading caused by the camera lens. This calibration combined with bright field lighting allows for the optimization of bright field measurement. Often this calibration is used in conjunction with the Low Frequency Flat Field correction, which is a calibration that not only removes shading caused by the lens, but by using multiple live sets of calibrations it can correct for the shading of the different light sources. Thanks to camera sensitivity matching and these calibrations, the same lighting recipe can be used with each Adimec camera. They all will return the exact same measurement, independent of which camera you put in your machine.
Dark Field Lighting Setup
Unlike in bright field lighting, where reflected light is imaged, dark field lighting only captures scattered light. By imaging only the scattered light, edges and surface defects become more prominent in the image as they are the things that best scatter light. To best set up a light source for this light scattering, a low angle of light (usually from ring lights) of around 10-15 degrees is ideal. This low angle allows for edges, defects, ridges, etc. to properly scatter the light while not having the surface of the target reflect too much light back to the camera. This technique can also be used to effectively inspect highly reflective or mirrored surfaces which you would otherwise be unable to inspect with bright field lighting.
See below a comparison of images taken with Bright Field Illumination and images taken with Dark Field illumination to see the differences between the two lighting techniques:
Bright Field Lighting Dark Field Lighting
Metal coin image with front bright field illumination Metal coin image with front dark field illumination
Optimizing Cameras for Dark Field Lighting
Adimec’s cameras are optimized to have the lowest read noise when they leave the factory. By supporting analog gain the read noise can even further be decreased. This optimization increases the measurement accuracy in the darkest parts of an image. The cameras are calibrated in Adimec’s factory by using a Dark Signal Non-Uniformity (DSNU) calibration. While they are calibrated in factory, these cameras can be re-calibrated in a system to optimize the image even further depending on the use case. This DSNU reduces pixel-to-pixel fixed pattern, which in turn increases the measurement accuracy
Before and After DSNU Correction:
Ultimately, these lighting techniques are used to help you achieve the key principle of machine vision illumination, which is to capture the correct light-dark contrast in the image. The techniques and principles for dark field and bright field illumination are there to assist you with properly setting up the best illumination for what you are imaging, and it is always advisable to test with a few different illumination set-ups. An inspection may in theory be best suited by bright field illumination, but you may discover that after testing the set-up, there could be a reflection that makes the inspection impossible, at which point understanding the lighting techniques for dark field illumination can assist you in eliminating this reflection.
Hi Scott, let me introduce myself, Recently I’m doing research to build a Dark Field Microscopy that is able to observe an exosome. So, if you willing you can reply my question by emailing me. I want to ask about the light that we can use for darkfield microscope. Which do you recommend between using laser or light to apply it to the darkfield microscope and can you provide the potential candidate of the light source? . Second question is how we know the required intensity is needed for the dark field imaging system (if know do you know how to calculate it?). Third question do you know the reason why darkfield will achieve better resolution than brightfield? (if you know the calculation you can provide to me).
I hope that you can answer my question. Thank You so much for your time.
Darkfield microscopy is not a area where we at Adimec specialize in, and we focus mainly on the camera (so only a bit on lighting & lenses), so I can’t give much feedback on your question.
Whoever I looked into darkfield Microscopy, and there is a short animation of how it works on wikipedia (https://en.wikipedia.org/wiki/Dark-field_microscopy)
To work with this method to check on exomes, I can imagine some wavelengths work better than others based on the type and size of the exome (so that specific light is scattered more and gives a better/sharper image results)
I do not have any formulas to for you to work with, but note that a lot of factors are dependent on the setup you are using (lenses, wavelength, size and angle of darkfield patch stop, and distances from Lightsource-to sample- to camera, in addition to the sample properties (thickness, transparency etc).
The only answer I can give you why a darkfield image is preferred over a brightfield image:
With a darkfield image you clearify the edges or structures of sampels, this method is used to detect or check non-uniformities like a defect or if a required structure is present. Like in the wikipedia site, they do this to see the edges of bloodcells, making them easy to count, check on “roundness”, or detect non-uniformities.