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Illumination Effects in Quantitative Virtual Microscopy

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Computer Analysis of Images and Patterns (CAIP 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8048))

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Abstract

For quantitative virtual microscopy to be accepted into clinical practice, a virtual image has to be a ‘glass faithful’ representation of the underlying cellular objects, unaffected by artefacts such as illumination or optical distortion. In this paper we present experimental results from systematic measurements of features from calibration slides at different locations in the field-of-view. Our results show that measurements differ slightly from the expected values. However the values in the different locations are similar confirming the efficacy of virtual microscopy as objects can be measured independent of their location.

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Altinay, D., Bradley, A.P. (2013). Illumination Effects in Quantitative Virtual Microscopy. In: Wilson, R., Hancock, E., Bors, A., Smith, W. (eds) Computer Analysis of Images and Patterns. CAIP 2013. Lecture Notes in Computer Science, vol 8048. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40246-3_56

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  • DOI: https://doi.org/10.1007/978-3-642-40246-3_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40245-6

  • Online ISBN: 978-3-642-40246-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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