Abstract
The theoretical background of bright field optical microscopy is not described to the extent that would allow the extraction of as many features of the original object from the image as possible. In this article, we present the determination of image features based on a general assumption that images transmitted by an optical microscope have multifractal character. In order to determine the borders of the determinable point spread function, we derived a Point Divergence Gain (PDG α,x(l),y(l)) variable from the Renyi entropy. This variable calculates image points that carry the same information in consequent images captured upon moving the object along the lens’ optical axis (z-scan). In this way, we may precisely identify the border of the point spread function of immovable identifiable objects.
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Rychtarikova, R. et al. (2015). Multifractality in Imaging: Application of Information Entropy for Observation of Inner Dynamics Inside of an Unlabeled Living Cell in Bright-Field Microscopy. In: Sanayei, A., E. Rössler, O., Zelinka, I. (eds) ISCS 2014: Interdisciplinary Symposium on Complex Systems. Emergence, Complexity and Computation, vol 14. Springer, Cham. https://doi.org/10.1007/978-3-319-10759-2_27
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DOI: https://doi.org/10.1007/978-3-319-10759-2_27
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10758-5
Online ISBN: 978-3-319-10759-2
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