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Correction of mosaicking artefacts in multimodal images caused by uneven illumination

Titelangaben

Chernavskaia, Olga ; Guo, Shuxia ; Meyer, Tobias ; Vogler, Nadine ; Akimov, Denis ; Heuke, Sandro ; Heintzmann, Rainer ; Bocklitz, Thomas ; Popp, Jürgen:
Correction of mosaicking artefacts in multimodal images caused by uneven illumination.
In: Journal of Chemometrics. Bd. 31 (2017) Heft 6 . - e2908.
ISSN 1099-128X
DOI: https://doi.org/10.1002/cem.2908

Volltext

Link zum Volltext (externe URL): Volltext

Abstract

Non-linear multi-contrast microscopy or how it is often called multimodal imaging features molecular contrast, because it is the combination of coherent anti-Stokes Raman scattering (CARS), second harmonic generation (SHG) and two-photon-excited fluorescence (TPEF). The application of this techniques for imaging of biological tissue is straight forward, which is the reason to investigate tissue diagnostics based on multimodal imaging. To do so, multimodal imaging needs to be combined with image analysis methods. To perform such an image analysis of the multimodal images in a reliable and robust manner, the images must be corrected for disturbing effects. One of the severest disturbing effects is the vignetting or mosaicking due to an uneven illumination. Chernavskaia et al. introduce frequency and spatial domain methods for the correction of this artifacts based on an uneven illumination. The correction methods are compared in terms of computational complexity, adaption properties and their robustness. Additionally, different spatial domain methods are compared. The article gives a guideline to choose a well performing correction. Nevertheless, no of the studied methods for the uneven illumination correction is always superior, which raises the question of a quantitative marker for the correction quality in order to decide, which correction is best to be applied.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Keywords: image analysis; image enhancement; image reconstruction techniques; medical and biological imaging; multiphoton processes
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Ehemalige ProfessorInnen > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz
Fakultäten
Fakultäten > Fakultät für Mathematik, Physik und Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Ehemalige ProfessorInnen
Titel an der UBT entstanden: Nein
Themengebiete aus DDC: 500 Naturwissenschaften und Mathematik > 530 Physik
Eingestellt am: 19 Mai 2023 09:50
Letzte Änderung: 19 Mai 2023 09:50
URI: https://eref.uni-bayreuth.de/id/eprint/76296