Fluorescence Images
way of contrast, are carried out in ignorance of how the image was acquired, what the properties of the imaging instruments were, and what the sample type was. Tis inevitably leads to a loss of information, even if the image looks improved to the naked eye, especially if assumptions about diameter or size of structures in an image are false; then such processing steps will yield incorrect results. In addition, these methods are all “exclusive,” which is to say they exclude photons from above and below the focal plane since they only take a single image into account. Tis exclusivity prevents their benefiting from the majority of photons in a 3D volume. In contrast to this, 3D deconvolution (as a “single-inclusive” method) will result in high signal-to-noise and better contrast and resolution as a result of reassignment of photons from other planes to the current focal plane.
References [1] JC Russ, Te Image Processing Handbook (2nd edition), IEEE Press, 1994.
[2] KR Castleman, Digital Image Processing, Prentice-Hall, 1979. [3] DA Agard, Ann Rev Biophys Bioeng 13 (1984) 191–219. [4] S Sternberg, IEEE Computer 16 (1983) 22–34. [5] CH Huang et al., Comput Biol Med 42 (2012) 458–67. [6] F Cai and FJ Verbeek, 2015 International Conference on Image Processing Teory, Tools and Applications (IPTA), DOI: 10.1109/IPTA.2015.7367151, pp. 298–303.
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