For this edition of Chalk Tips, we’ll discuss the pixel. Small in size, mighty in stature, the pixel provides and enormous amount of information about your image.
Like the atom to the molecule, the pixel (abbreviated from “picture element”) is the smallest component of an image. You’ll often hear of pixel counts in digital cameras, like “12 million pixels”. Each one of those tiny elements is a physical location on a silicon substrate capable of storing intensity information. And since each pixel is of a known and fixed size, it is possible to obtain distance, size and intensity measurements for objects and features in your images. Which leads us to an important question- what is meant by resolution?
Resolution is described two ways- what our eyes can distinguish in terms of intensity and what they can distinguish in terms of distance. Each form bears its own resolution, so here goes:
First off, intensity resolution- our eyes can detect approximately 30 shades of a given color’s intensity in an image. Some eyes are naturally more sensitive, but on average we see thirty. On the other hand, the most basic digital camera can detect and resolve at least 256 levels of intensity! So, it is possible to enhance detail we can’t detect on our own, and make judgments about images by merely enhancing the intensity resolution of the image in question. It’s a great way to see detail that may be close to background (like what you can often expect to see in fluorescent images) and a great way to highlight and explore detail across a stained slide.
Alright, now we can talk about what the pixel can provide in terms of area and distance measurements- what we traditionally talk about when describing the features we see in an image. Since each pixel has a known size, typically measured in microns, it is really easy to calibrate a known magnification to a stored spatial measurement. If you know how many pixels make up a known distance, it’s a simple matter to create distance and area measurements. What’s best is that these measurements are highly repeatable. Once calibrated, imaging software makes measurements using the same repeatable steps and calibrations, time after time. Which in turn improves the reliability and accuracy of your measurements.
In a future Chalk Tip, we’ll explore intensity resolution a little more, through the introduction of a new concept- bit depth. Stay tuned!
(Note: Will Casavan is Aperio's Product Manager for Image Analysis, and will be joining me in posting to the Daily Scan... Ole Eichhorn)
