Abstract
Image rendering in confocal microscopy is a digital technique. To optimize confocal image acquisition, the operator needs to have a basic understanding of what constitutes a digital image and how it can be employed effectively to help visualize specific details. In this chapter, we will introduce the topic of digital images and discuss some basic components of a digital image. We will also provide some basics on how to optimize collection and subsequent display of these components with regard to confocal microscopy.
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- 1.
In microscopy, the Nyquist-Shannon sampling theorem (Shannon 1998) tells us that we cannot accurately detect microscopic information smaller than 2 pixels by 2 pixels of the detector. This is related to the variability in signal collection and not specifically digital imaging, so we will ignore this signal processing issue until the discussion of detectors in Chap. 7.
- 2.
Most analog to digital conversions include some smoothing and blending functions, but we will ignore these for the purposes of this discussion.
- 3.
Actually, due to rounding errors, there may be a small difference between the original image and the gamma-correction recovered image, but these differences are generally very small.
Literature Cited
Shannon C (1998) Communication in the presence of noise. Proc IEEE 86:447–457
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Jerome, W.G. (2018). Digital Imaging. In: Jerome, W., Price, R. (eds) Basic Confocal Microscopy. Springer, Cham. https://doi.org/10.1007/978-3-319-97454-5_6
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DOI: https://doi.org/10.1007/978-3-319-97454-5_6
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