Paper Info
Title
An online calibration method for astigmatism-based 3D particle tracking in complex living tissue
Abstract
In this paper we present an online calibration method that adjusts astigmatism-based 3D particle tracking techniques to the aberrations induced by the refractive index mismatch, so that they are applicable to complex tissue. As opposed to existing techniques, our method determines the aberration directly from the acquired 2D image stream and requires no prior calibration. We analyze the influence of the refractive index mismatch on fluorescent beads immobilized in Mowiol and establish an axial model that describes the induced aberrations. By exploiting particle movement and the redundancy introduced by the astigmatism we show that it is possible to estimate the current axial model independently of the imaging depth. We evaluate our algorithm on semi-synthetic image streams and demonstrate that the bias, due to the refractive index mismatch, can be decreased. We obtain our results using a spinning disk confocal setup. However, our method also applies to wide-field imaging without limitations.
Year
DOI
Venue
2013
10.1109/ISBI.2013.6556442
ISBI
Keywords
Field
DocType
fluorescent bead,axial model estimation,calibration,complex living tissue,semisynthetic image stream,biomedical optical imaging,off-focus imaging,aberrations,online calibration,imaging depth,online calibration method,3d single particle tracking,spinning disk confocal setup,object tracking,refractive index,biological tissues,optical aberration,wide-field imaging,particle movement,astigmatism-based 3d particle tracking technique,astigmatism,2d image stream,medical image processing,refractive index mismatch,trajectory,microscopy,correlation
Astigmatism,Computer vision,Spinning,Computer science,Optics,Phase-contrast imaging,Video tracking,Redundancy (engineering),Artificial intelligence,Calibration,Particle,Refractive index
Conference
ISSN
ISBN
Citations 
1945-7928
978-1-4673-6456-0
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Stefan Sokoll101.35
Klaus D. Tönnies221544.39
Martin Heine352.20