This article deals with questions about the resolution of an image and about how to get the physical quantities about of your investigated sample from analyzed data in pixel format.
Image Resolution
Image resolution refers to is the level of detail and clarity in a digital image, and it is images determined by several defining parameters. In The topic of this article we will focus be centered on sensor size, pixel size, and magnification. Although there are also other parameters on which the final resolution depends upon, those three are the most accessible.
A Microscope microscope is basically any system that magnifies small objects so that they can be seen or detected and makes them visible or detectable on a macroscopic scale. In optical digital microscopes this , magnification is achieved by a system of lenses which project the objects' projecting the object's image onto an optical sensor through a system of lenses.
Magnification
Magnification is perhaps the most obvious clear factor in microscopy. It dictates how much an object is enlarged when viewed through the microscope. Higher magnification levels allow you to see finer details and reveal the hidden intricacies of your specimen. However, there's a trade-off: as magnification increases, increasing magnification decreases the field of view usually decreases. In other words, meaning you 're zooming zoom in on a smaller portion of your sample.
Sensor Size
You can think of the sensor size of your digital microscope as the “window“ through which you observe the microscopic world. Larger sensors can capture more light and detail, resulting in which leads to higher image quality. A bigger sensor size allows for better light sensitivity and reduces noise, especially in low-light conditions.
Pixel Size / Pixel Density
Pixel density refers to how closely packed the pixels are on the sensor. It 's is determined by the number of pixels (megapixels) divided by the sensor's physical size. Higher pixel densities provide greater resolution, which means that smaller details can be captured. In microscopy, resolution is vital because it defines the smallest distance at which two separate objects can be distinguished.
Resolution
Resolution in digital microscopy is the product of these three factors. A high magnification level zooms in on your specimen, while a larger sensor captures more detail, and higher pixel density ensures that tiny features are faithfully reproduced in the digital image.
To maximize resolution, balance these elements carefully. If you need to capture fine details, opt for a higher magnification. However, be aware that this may limit your field of view. A larger sensor size can enhance overall image quality, while higher pixel density ensures that no each detail goes unnoticedis noticed.
To aid the user when translating pixel values to physical values, a measurement on a digital microscope usually also delivers the length comparison value (as for example in µm/Px).
Translating values
If you want to translate Pixel pixel values to actual physical quantities measurements, you need the length comparison factor, lets call it R which we will refer to as “R” in length per Pixel pixel (µm/Px, mm/Px ect, etc.).
Next, you need to take a closer look at the quality of your output parameter, especially at which unit you want to translate:
Type of Property | Unit | Example | Translation Formula |
|---|---|---|---|
Length | [Px] | Perimeter, Nearest Neighbor Distance, Minor/Major Axis Length | Length [Px] * R |
Area | [Px^2] | ROI size, Area, Outgrowth Area | Area [Px^2] * R^2 |
Density | [1/Px^2] | Object Density by number | Density [1/Px^2] / R^2 |
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