Type

Conference Proceedings

Authors

Heinrich Huber
Heiko Duessmann
Dimitrios Kalamatianos
Perrine Paul

Subjects

Mathematics

Topics
mathematics statistics experimental data toxicity hamilton institute automatic algorithm images quality assessment

Automatic quality assessment for fluorescence microscopy images (2008)

Abstract Fluorescence microscopy imaging is a constant trade off between signal to noise ratio, total observation time and spatio-temporal resolution due to photo toxicity. In this paper, we propose a method to estimate the quality of a fluorescent image acquisition, from a single image, taking into account both signal dependent and signal independent noise. We propose a method for the calculation of the signal to noise ratio globally and locally. We validated our algorithm on real experimental data and data with known simulated noise.Results allow us to conclude that this fully automatic method provides a good quantification of the image quality.
Collections Ireland -> Maynooth University -> Subject = Science & Engineering: Mathematics & Statistics
Ireland -> Maynooth University -> Subject = Science & Engineering: Hamilton Institute
Ireland -> Maynooth University -> Academic Unit = Faculty of Science and Engineering: Research Institutes
Ireland -> Maynooth University -> Academic Unit = Faculty of Science and Engineering
Ireland -> Maynooth University -> Academic Unit = Faculty of Science and Engineering: Research Institutes: Hamilton Institute
Ireland -> Maynooth University -> Status = Published
Ireland -> Maynooth University -> Type = Conference or Workshop Item
Ireland -> Maynooth University -> Academic Unit = Faculty of Science and Engineering: Mathematics and Statistics
Ireland -> Maynooth University -> Open Access DRIVERset

Full list of authors on original publication

Heinrich Huber, Heiko Duessmann, Dimitrios Kalamatianos, Perrine Paul

Experts in our system

1
Heinrich J Huber
Royal College of Surgeons in Ireland
Total Publications: 39