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Computer graphics for the microscopist

Authors: Jhonel Palomino; Anders Hånell;

Computer graphics for the microscopist

Abstract

Peering through the eyepiece of a microscope can reveal mesmerising sceneries, but science won’t progress unless they are shared with others. At the time of the first microscopes this could only be done by drawing images, thus requiring extensive artistic skills. Modern microscopes, on the other hand, use digital cameras, and capturing optimal micrographs instead requires a firm grasp of computer graphics. This is also needed to grasp the possibilities and potential pitfalls in digital pathology and diagnosis using image analysis algorithms. Computer graphics describes images as either raster graphics or vector graphics.1 Raster graphics images are divided into pixels, and this format is typically used for photographs stored as JPG or TIFF files. Vector graphics instead describe the image as geometrical objects and is typically used for graphs and text in EPS or PDF files. Micrographs are stored as raster graphics, but vector graphics can be used to add annotations with unlimited resolution (figure 1). Figure 1 (A) Raster graphics image of myelinated axons with annotations as vector graphics. (B) On magnification, the raster image is clearly pixelated while the vector graphics text remain in high resolution. (C) With the text ‘burned in’ to the image, the result is clearly inferior. (D) Anchor points (orange) and control lines (red) define the lines and Bezier curves that make up the vector graphics image of the number 5. Even though raster and vector graphics are conceptually very different, they handle colours in the same way.2 Since computers store information in bits, where each bit is either 0 or 1, and eight bits form …

Related Organizations
Keywords

Microscopy, Pathology, Clinical, Computer Graphics, Image Processing, Computer-Assisted, Humans

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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