A novel approach to image calibration in super-resolution microscopy

Isabel Schlangen, Jeremie Houssineau, Daniel Clark

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

For many disciplines in natural sciences like biology, chemistry or medicine, the invention of optical microscopy in the late 1800's provided groundbreaking insight into biomedical mechanisms that were not observable before with the unaided eye. However, the diffraction limit of the microscope gives a natural constraint on the image resolution since objects which are smaller than half the wavelength of the illuminating light - such as proteins or ions - cannot be recognised in classical microscopy. Recently, different techniques have been developed to partly overcome this restriction using fluorescent molecules as markers. Like this, it is possible to monitor a vast diversity of intracellular processes on a molecular level which are of interest for biomedical research. Since these developments in superresolution microscopy are quite recent, suitable data analysis techniques are still to be advanced. This work aims to deploy the potential of the so-called Hypothesised filter for Independent Stochastic Populations (HISP) for multi-object estimation in a biomedical context by extending its framework to a novel joint object state and sensor drift estimator.

Original languageEnglish
Title of host publication2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014
PublisherIEEE
Pages111-116
Number of pages6
ISBN (Print)9781479972043
DOIs
Publication statusPublished - 2014
Event3rd International Conference on Control, Automation and Information Sciences - Gwangju, United Kingdom
Duration: 2 Dec 20145 Dec 2014

Conference

Conference3rd International Conference on Control, Automation and Information Sciences
Abbreviated titleICCAIS 2014
CountryUnited Kingdom
CityGwangju
Period2/12/145/12/14

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    Schlangen, I., Houssineau, J., & Clark, D. (2014). A novel approach to image calibration in super-resolution microscopy. In 2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014 (pp. 111-116). [7020539] IEEE. https://doi.org/10.1109/ICCAIS.2014.7020539