
Help! There is a comet in my computer! 2
An annoying problem with computers is that, unless they crash, they will always give you
a result. The above story is true, but it is not about the comet assay. Nevertheless, it is
about measurement of the amount of DNA in nuclei on a microscope slide (to determine
genome size in different organisms). I have to admit here that I have never prepared one
single microscope slide for the comet assay. But I recently tried to find out how the comet
assay works and I talked to researchers and students from several comet labs. While I got
excellent explanations about DNA damage and variations in the procedure for preparation
of the slides, the image analysis part of the experiment was more obscure. In most cases,
the researchers bought the software and hardware, and then started to click. They had no
time to study image analysis. Still, it is not really sensible to treat the only part of the
experiment in which parameters are measured as a tightly closed “black box”.
Here are some arguments from the comet world. A colleague called me on the phone one
day saying that she noticed abnormal values for the comet parameters in recent
experiments. None of the researchers that spent days and months with the comet machine
knew what went wrong. I only saw this machine once for an hour or so. Nevertheless, I
was able to diagnose the problem and also propose the solution after only a few minutes of
phone conversation. How did I do it? Well, I previously borrowed the software user
manual, and because I know the principles of image analysis, I also understood how the
black box works.
On another occasion, I had the idea to write a macro program for the comet assay. So I
borrowed a CD with comet images from another colleague, who was then a comet
beginner using another comet software package than the one mentioned above. When I
viewed the images on my computer, I realised that there was something wrong with image
contrast. In addition, quite a few spots on the image were overexposed, which means
completely white. With such images, you do measure something with your computer, but
your results are either imprecise or wrong. Optimising the settings of the camera solved the
problem.
Now let us open the “black box”.
Although I tried to do my best, some statements in the following chapters may be incorrect. Please send your
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